The present disclosure relates to covers adapted for use with occupant supports. More particularly, the present disclosure relates to covers configured to couple removably to occupant supports.
According to the present disclosure, an occupant support includes a seat and a seat cover. The seat is adapted to support an occupant resting thereon. The seat cover is couple to the seat and arranged to lie between the occupant and the seat.
In illustrative embodiments, the seat cover is a health-monitoring cover. The health monitoring cover is adapted to couple removably to a seat. The health-monitoring cover includes a comfort unit configured to support an occupant of the occupant support. The health-monitoring cover may be obtained separately from the seat and used with multiple occupant supports.
In illustrative embodiments, the health-monitoring cover includes a sensor system and a control system. The sensor system is configured to obtain occupant-body signals associated with physiological characteristics of the occupant of the occupant support. The control system is configured to receive and process the occupant-body signals to determine occupant health data and occupant state data such as, for example, comfort and stress. The control system analyzes the data to recommend activating therapy systems and lifestyle amenities to improve the comfort and wellbeing of the occupant.
In illustrative embodiments, the health-monitoring cover includes a plurality of therapy systems integrated into the comfort unit and configured to provide relief the occupant. The control system is configured to monitor the occupant and the therapy systems to determine the effect of activating the therapy systems and the lifestyle amenities and to learn the occupant's preferences.
In illustrative embodiments, the occupant health data, occupant state data, and learned occupant behaviors are associated in a unique occupant data profile associated with a single occupant. The control system adds information and trends to the unique occupant data profile over time to improve its occupant comfort and wellness recommendations.
Additional features of the present disclosure will become apparent to those skilled in the art upon consideration of illustrative embodiments exemplifying the best mode of carrying out the disclosure as presently perceived.
The detailed description particularly refers to the accompanying figures in which:
A health-monitoring cover 14 in accordance with the present disclosure is adapted for use with an occupant support 12 such as, for example, a seat as shown in
Because health-monitoring cover 14 is removable, health-monitoring cover 14 may be used with multiple supports 12 and may be obtained as an aftermarket accessory separate from occupant support 12. As a result, health-monitoring cover 14 may be coupled to seats 12 for occupants with sedentary occupations such as commercial drivers or for patient data collection with healthcare providers.
Health-monitoring cover 14 may include a plurality of therapy systems 50 and may recommend activating a therapy system 50 such as a massage system 86 to improve occupant's comfort and blood flow. Over time, health-monitoring cover 14 obtains more and more occupant health data and occupant feedback to improve its recommendations and, thereby, improve occupant wellness and/or comfort.
Health-monitoring cover 14 is configured to be secured removably on occupant support 12 as shown in
In the illustrative embodiment, health-monitoring cover 14 further includes therapy systems 50 as shown in
Illustratively, health-monitoring cover 14 is coupled removably to occupant support 12 to allow a user to move occupant support 12 from a first seat 12 to a different seat. Health-monitoring cover 14 is coupled to an outwardly facing upper surface of a driver side seat 12 as shown in
Comfort unit 20 includes an inner layer 64 and an outer layer 56 arranged around inner layer 64 as shown in
Comfort unit 20 may include sewn on belt attachment and toggles, nylon std clip attachments, elastic toggle tie-downs, and elastic band strap take-ups. Straps 34 may be located relatively high and low on seat back to avoid interference with side airbag deployment. Straps 34 may extend around headrest posts.
Sensor system 22 includes the plurality of sensors 32 as shown in
As shown in
Sensor system 22 is configured to determine occupant health data by using the plurality of sensors 32 with the ability to be arranged in a variety of ways. The sensors 32 are configured to send information through wires 52 to control system 18. Another embodiment a health-monitoring cover 414 with a sensor system 422 is shown in
Control system 18 is configured to receive sensor data from sensor system 22 and determine biometric data relating to occupant 13 based on the sensor data. Thus, control system 18 is configured to measure occupant biometrics even in a noisy environment such as the interior of a vehicle when driving. Additionally, control system 18 may measure occupant biometrics with sensors 32 of sensor system 22 spaced apart from the occupant's body (e.g., to allow for seat trim and clothing), without requiring the sensors 32 to be attached to occupant 13. By measuring the occupant biometrics, control system 18 may provide biofeedback to occupant 13, trigger or suggest appropriate therapies, or perform other applications.
Control system 18 determines occupant health data and occupant state data based on the signals generated by sensor system 22 as suggested in
Cloud data includes a database, individual profiles, analyses, recommendations, and whole-life monitoring capability specific to an occupant 13 so that control system 18 is able to personalize therapy system 50 in response to the occupant's individual physiological needs and preferences. Occupant health data and occupant state data are provided in real-time to smart devices 40.
As shown in
Control system 18 is configured to determine occupant 13 heart rate, occupant 13 sweat level, occupant 13 skin temperature, occupant 13 blood pressure, and an activity history of occupant 13 in experience level 1 as shown in
Control system 18 is further configured to pressure map the high pressure areas of an occupant's back and legs for occupant comfort and inflate pneumatic bladders 62 in response to high pressure areas as shown in
Pressure may be determined with fluid pressure sensors, force pressure sensors, force sensors, etc. As shown in
The plurality of pneumatic bladders 62 includes a first pneumatic bladder located adjacent the lower end and a second pneumatic bladder spaced apart from the first pneumatic bladder toward the upper end. The first pneumatic bladder is larger than the second pneumatic bladder when both the first pneumatic bladder and the second pneumatic bladder are fully inflated. A third pneumatic bladder is located between the first and second pneumatic bladders. The third pneumatic bladder is larger than the second pneumatic bladder and smaller than the first pneumatic bladder when the bladders are fully inflated. In some embodiments, the size of the bladders is determined by volume. In some embodiments, the size of the bladders is determined by a surface area of the bladders.
In illustrative embodiments using the ACTIVE WELLNESS™ experience, as shown in
Respiration rate of occupant 13, heart rate variation (HRV), and heart rate 102 of occupant 13 may be based on the ECG data determined in level 1 as shown in
Control system 18 is configured to determine occupant state data based on the occupant health data and generate instructions to display the occupant health data to occupant 13 on smart devices 40 as suggested in
Drowsiness of occupant 13 and stress of occupant 13 of occupant 13 may be determined in experience level 3 as shown in
Fatigue minimization mode may trigger one or more different mild therapies, while the machine learns the relationship between the therapies and beneficial bio-feedback. The methods of therapy and stimulation to increase the low-fatigue zone may improve over time and may adjust to each individual's feedback. Fatigue mitigation mode may trigger more invasive therapies as well as predict and detect the onset of drowsiness. Under the high-fatigue, or impairment zone, there may be a stop mechanism available to the individual in which there is a high-risk warning. Suggestions to pull over and take a break (or other action) may be engaged.
In one example, the occupant state data may be indicative of a vigilance of occupant 13. The vigilance of occupant 13 may be based on occupant health data that includes information indicative of the respiration rate of the occupant determined from signals received from piezoelectric sensor 28 and electrode 30. In another example, vigilance may be determined based on one or more of recent activities of occupant 13 and respiration rate 94 of occupant 13.
In another example, the occupant state data may be indicative of motion sickness of the occupant as suggested in
In another example, occupant state data is indicative of a stress of occupant 13. The stress of occupant 13 may be based on occupant health data that includes information indicative of humidity 100 around occupant 13 determined from signals received from humidity sensor 36 and heart rate 102 of occupant 13 determined from signals received from piezoelectric sensor 28 and electrode 30. In another example, stress of occupant 13 may be based on one or more of the heart rate variability of occupant 13, humidity 100 around occupant 13, and heart rate 102 of occupant 13. In one example, stress of occupant 13 may be based on the heart rate variability of occupant 13, humidity 100 around occupant 13, and heart rate 102 of occupant 13.
In another example, occupant comfort may be based on one or more of the temperature of occupant 13, a pressure distribution of occupant 13, and the humidity 100 around occupant 13. In another example, occupant comfort may be based on the temperature of occupant 13 and humidity 100 around occupant 13.
In the illustrative embodiment, control system 18 is configured to generate instructions to display occupant health data, for example, on smart devices 40 for occupant information as suggested in
Control system 18 is configured to receive the occupant-body signals from sensor system 22 and determine occupant health data indicative of physiological characteristics of occupant 13 based on the occupant-body signals. Control system 18 further determines occupant state data indicative of a state of occupant 13 based on the occupant health data. Based on at least one of the occupant health data and the occupant state data, control system 18 identifies one or more of the plurality of therapy systems 50 suitable to change at least one physiological characteristic of occupant 13. For example, control system 18 may determine that a massage system 86 is suitable for changing a heart rate 102 of occupant 13. Control system 18 recommends to occupant 13 to activate therapy system(s) 50 based on the occupant health data and the occupant state data.
Therapy system 50 may be activated automatically by control system 18 or manually by occupant 13 in response to the recommendation. Alternatively, occupant 13 may activate a different therapy system 50. Control system 18 monitors which therapy system(s) 50 is activated and the effect on the occupant health data and occupant state data. Control system 18 associates the selected therapy system 50, the occupant health data, and the occupant state data in a unique occupant data profile to learn occupant preferences and effective recommendations. Future recommendations may be based on the occupant's preferences and effective recommendations such that they are more tailored to occupant 13 over time.
Therapy systems 50 provide informational, tactile, and thermal feedback to occupant 13. Therapy systems 50, alone or in combination, may be activated to apply a variety of therapies to occupant 13 to change at least one physiological characteristic or behavioral characteristic of occupant 13. Therapy systems 50 include a temperature system 82, a massage system 86, a heat mat 60, a ventilation system 88, and smart devices 40 as suggested in
The plurality of pneumatic bladders 62 are located beneath 3D mesh layer 58 as shown in
Massage system 86 is configured to provide massage therapy to occupant 13. Heat mat 60 is located below pneumatic bladders 62 and configured to heat occupant 13 in response to thermal control system 68. Comfort unit 20 further comprises of a elastomeric venting air channel layer 78 located below heat mat 60 and configured to allow air to flow in response to activation of ventilation system 88 or other combinations of therapy systems 50, The plurality of sensors 32 are located directed beneath venting air channel 78 and inner layer 64.
With some ventilation systems, occupant weight compresses airways and blocks flow of air. Areas of the body with higher contact pressure trap heat and moisture. In the present disclosure, massaging may be performed during ventilation. When the massage system expands it provides increased ventilation. The massage sequence distributes bursts of ventilation as it progresses. In some embodiments, pneumatic bladders 62 are configured to inflate and deflate to massage occupant 13. Massaging with pneumatic bladders 62 urge occupant 13 upward and may open closed airways. As a result, massaging with pneumatic bladders 62 may be performed during ventilation to increase ventilation to occupant 13. In some embodiments, air is ventilated in bursts in response to pneumatic bladders 62 temporarily and periodically urging occupant 13 away from seat 12.
Control system 18 activates therapy system(s) 50 based on at least one of the occupant health data, the occupant state data, and input from the occupant. Activated therapy system(s) 50 may be the same or different than the recommended therapy system 50. For example, control system 18 recommends activating massage system 86, but activates temperature system 82 based on occupant input. In another example, control system 18 recommends activating massage system 86 and activates massage system 86 based on occupant input or occupant health data. Control system 18 may recommend that occupant 13 activates therapy system 50 to improve the wellness or comfort level of occupant 13 as suggested in
Control system 18 is configured to associate activation of therapy system 50 with the occupant health data and the occupant state data in a unique occupant data profile. The unique occupant data profile is specific to one occupant and more information is added to unique occupant data profile over time to increase the accuracy and effectiveness of the recommendations made by control system 18. Control system 18 is configured to identify occupant 13 based on at least one of input from occupant 13 and the occupant health data.
Data associated in unique occupant data profile includes occupant height, weight, sex, and age data. Such data may be entered manually by occupant 13, by smart devices 40, and/or by an Internet connection. Unique occupant data profile further includes a medical history including medical conditions of occupant 13. A completion level of the unique occupant data profile may be depicted by shading of silhouette from foot to head. No shading corresponds to an incomplete profile and full shading corresponds to a complete profile.
By associating associate activation of therapy system 50 with the occupant health data and the occupant state data in the unique occupant data profile, control system 18 learns occupant preferences and behaviors over time. If the recommended therapy system 50 is activated, control system 18 learns that occupant 13 agrees with that recommendation while occupant 13 exhibits that occupant health data and occupant state data. If the recommended therapy system 50 is not activated and instead, another therapy system 50 is activated, control system 18 learns that occupant 13 prefers the other therapy system 50 while occupant 13 exhibits that occupant health data and occupant state data. Control system 18 learns and improves its recommendations as the number of iterations increase.
Control system 18 is configured to determine the effectiveness of activating therapy system 50. Control system 18 monitors and analyzes the physiological data of occupant 13 to determine the effect of therapy systems 50 on occupant 13. In one example, control system 18 is configured to receive supplemental occupant-body signals and supplemental behavioral signals after activating the therapy system 50. Control system 18 determines supplemental occupant health data based on the supplemental occupant-body signals. Control system 18 determines supplemental occupant state data based on the supplemental occupant health data.
Control system 18 identifies therapy system(s) 50 configured to change at least one physiological characteristic of occupant 13 based on at least one of the supplemental occupant health data, the supplemental occupant state data, and the unique occupant data profile. Control system 18 activates therapy system(s) 50 based on at least one of the supplemental occupant health data, the supplemental occupant state data, the unique occupant data profile, and input from occupant 13. The activated therapy system 50 may be the same or different than the previously activated or recommended therapy system 50.
Control system 18 is configured to associate activation of therapy system(s) 50 with the supplemental occupant health data and the supplemental occupant state data in the unique occupant data profile to learn occupant behavior and preferences. Control system 18 compares the occupant health data and the supplemental occupant health data and associates changes to the occupant health data in the unique occupant data profile.
Control system 18 may further include a digital signal processor, GPS-Fit, Bluetooth to a mobile device, and a wired or wireless connection to a vehicle on-board diagnostics. Control system 18 may also include a thermal control system 68 configured to communicate with heat mat 60 as well as controlling pumps, massage, bolsters, GPS-Fit and valve blocks 26.
Control system 18 determines a health score of occupant 13 in some embodiments, as suggested in
In one example, the health score is based on the occupant health data, the unique occupant data profile, and predetermined criteria. In another example, the health score is based on the occupant health data, the unique occupant data profile, the secondary health data, and predetermined criteria. In some embodiments, the health score is based on cloud data of other vehicle occupants.
In some embodiments, control system 18 analyzes the occupant data over a period of time and provides a raw health score. The raw scores are tallied and compared to predetermined criteria. The raw scores are normalized for the occupant's particular occupant profile and history. Control system 18 generates instructions for outputting the health score.
In some embodiments, control system 18 anticipates occupant's 13 use of occupant support 12 amenities and therapies such as, for example, therapy systems 50. Occupant 13 is connected with occupant support 12 via smart devices 40.
In one scenario, occupant support 12 detects that occupant 13 has is experiencing a heightened heart rate. Occupant support 12 suggests comfort rejuvenation, which may include a massage and activation of ventilation based on sensor measurements. In another scenario, occupant support 12 prepares occupant 13 for physical activity by giving a stretching massage.
In another example, fatigue of an occupant 13 may be detected and predicted based on a number of factors. An occupant-driver fatigue curve may be projected to occupant 13 and may help schedule a trip to minimize fatigue before the trip starts. Control system 18 may inform or suggest to the driver when and where to take a break from driving, as well as provide reminders for a break during the trip. Occupant may 13 provide inputs and at least portions of the operator profile to the system. Preference modifications may be provided by the system and considered in planning for restorative sleep in a multi-day journey.
Each occupant health data type is rated as normal, high, or low in some embodiments. If one or more of the occupant health data used to determine an occupant state is not normal, control system 18 determines one or more therapy system 50 to recommend to occupant 13 in order to change the occupant health data toward normal. Occupant health data and occupant state data is continually monitored and recommendations are provided until occupant health data and occupant state data are normal. Occupant medical history and conditions are taken into account in determining normal occupant health data and occupant state data.
Control system 18 is configured to connect to one or more of smart devices 40 and communicate with occupant 13 via the smart device such as via a display screen. As such, health-monitoring cover 14 may interact with occupant 13 and provide the determined data and recommendations to occupant 13 through a plurality of the occupant's smart devices. Health-monitoring cover 14 may receive occupant input via smart devices 40. In other embodiments, control system 18 includes a display and/or audio output. Control system 18 is configured to generate instructions to display occupant health data and/or occupant state data in a graphical representation as shown in
Illustratively, control system 18 is located in backpack 54 coupled to a back of occupant support 12 as shown in
In another embodiment of health-monitoring cover 214, control system 18 and the aforementioned electronic equipment associated with the health-monitoring cover may be located in a soft pack/pocket 280 coupled to the back of vehicle seat 12 as shown in
Illustratively, health-monitoring cover 14 further includes pneumatic lumbar bladders 24 located between sensor system 22 and 3D mesh layer 58 as shown in
Illustratively, health-monitoring cover 14 further includes adjustable bolsters 42 located between outer layer 56 and inner layer 64 of back cover 19 of health-monitoring cover 14 so that the head of the occupant is flanked by adjustable bolsters 42 as shown in
In an illustrative embodiment, the health-monitoring cover 14 includes outer layer 56 (sometimes called a cover material) and a material backing 66 as shown in
A method of using health-monitoring cover 14 may include a number of steps. The method may include providing a health-monitoring cover configured to couple removably to an occupant support, the health-monitoring cover including a comfort unit configured to support an occupant of the occupant support, a sensor system, and a control system. The method may further include measuring, with the sensor system, occupant-body signals associated with physiological characteristics of the occupant. The method may further include determining, with the control system, occupant health data indicative of physiological characteristics of the occupant based on the occupant-body signals. The method may further include transmitting, with the control system, the occupant health data to a smart device.
The method may further include generating instructions to activate one of the massage system, ventilation system, and heating system based on the occupant health data. The method may further include conducting air flow with the ventilation system through a bite line defined by a seat bottom and a seat back of the occupant support.
The method may further include generating instructions to display the occupant health data on a screen with the control system. The method may further include measuring a pressure of the plurality of pneumatic bladders with the sensor system. The method may further include generating instructions to adjust the pressure in the plurality of pneumatic bladders with the control system. The method may further include adjusting a pressure in the pneumatic lumbar bladder with the control system based on the occupant health data. The method may further include adjusting a pressure in the pneumatic bolster bladder with the control system based on the occupant health data.
According to the present disclosure, an occupant wellness sensor pad system (sometimes called a health-monitoring cover) is provided for installation in original-equipment seats or as an aftermarket product. The occupant wellness system may include a seat mat with back and bottom portions. It may also include a sensor array, electronic control system, at least one integrated therapy system, and capability for connection to cloud data using a wireless connection means and electronic device. The occupant wellness sensor system pad system may be installed on a vehicle seat at the seat bottom, seat back, or at a combination thereof. A map pocket may be used to house electronic equipment associated with the system. Alternatively, a seat bottom front pocket may be used to house the electronic equipment.
In illustrative embodiments, integrated therapies into the occupant wellness sensor pad system may include a massage therapy system, thermal therapy system, or a combination thereof. A sensor array may be included in the system to detect and measure biometrics of an occupant of a vehicle seat. The massage therapy system may include pneumatic bladders. The thermal therapy system may include a heat mat. Each of the therapies may require a different internal pad structure, for example differently-shaped or oriented layers, to reliably deliver such therapies.
The occupant wellness sensor pad system provides a user with an aftermarket experience of an Active Wellness® closed-loop biometric measurement and therapy system. The system may be used by long-haul truck drivers, agricultural machine operators, bus drivers, taxi drivers, pilots, or anyone spending significant amounts of time in a vehicle. General health monitoring such as heart rate, respiration rate, blood pressure, etc. may be addressed. Therapies such as heating or venting, massage, breathing exercises, music, and situational awareness (via GPS-Fit) may also be addressed.
Features that may be integrated or connected to the system include Smart-Fit, GPS-Fit, personal wearable devices, and other biometric monitoring and health technologies. Breathing pattern and level, exercises and intensities, prompting for activity, step-tracking, and sleep-tracking may be monitored for a whole-life activity profile. The option for tracking fatigue due to under-stimulation or drowsiness (e.g. due to circadian rhythm) may also be provided in a new form factor in the present disclosure.
Health-monitoring cover 14 may include a sensor system 22 operatively connected to an electronic control system 18 to provide instructions on engaging a therapy system 50 in a vehicle seat 12. The electronic control system 18 may communicate with a smart device 40 for analyzing the individual occupant data in relation to cloud data, as suggested in
Cloud data may include a database, individual profiles, analyses, recommendations, and whole-life monitoring capability. Wireless connection means 22 may be used to connect the mobile device with the electronic control system, including but not limited to Wi-Fi 46 and Bluetooth capability. Modes of physiological improvement may include the occupant simply building awareness and tracking habits of physical characteristics that are monitored by the occupant wellness sensor pad system 14. Biofeedback, psychosomatic, and induced physiological response to therapies are also introduced in the present invention. Electronic monitoring of a normally-automatic bodily function (e.g. breathing rate) may be used to train someone to acquire voluntary control of such a function, for example. Likewise, a person that becomes aware of an unfavorable habit (e.g. driving when drowsy) may be likely to expend effort to overcome the unfavorable habit when notified of it by the sensor system.
The electronics equipment may be stored in a location free from interference with the occupant's use of the vehicle cabin. One solution provided is to include the equipment in a soft pack/pocket 280 located at the rear portion of a vehicle seat 12 back with respect to the location of the occupant as shown in
The seatback equipment backpack 54 may be connected to a seat cover through the vehicle seat bite or bite line. The electronic control system 18 may include a digital signal processor (DSP), GPS-Fit, Bluetooth to a smart device 40, and a wired or wireless connection to vehicle on-board diagnostics (OBD). A thermal control system 68 may be integrated or included as a separate component for an integrated heat mat 60.
Pneumatic functionality may also be included for controlling pumps, massage, bolsters, GPS-Fit, and valve blocks 26. Air flow may be provided from the back of the seat back with respect to the location of the occupant 13 as shown in
One embodiment may include sensors only with the binding trim edge made of a laminated cover material. A non-skid closeout material may be used with a sensor array and separately-fabricated seat cushion portion and seat back portion. The portions may be sewn together. Nylon standard clips or other attachment mechanism may be sewn on the belt attachment and toggles with an elastic tie-down and elastic band strap take-up. The seat coverlet may include all of the above-referenced components and the therapy components may be external to the coverlet. The belt arrangement will be set up to avoid covering the side airbag at the seat back. An indicia or logo may be included as part of the health-monitoring
Adhesive may be used to secure any wire or harness as shown in
The seat bottom portion of the occupant wellness sensor pad system 14 is shown in
Health-monitoring cover 14 may include multiple connections to the sensor array within the cover. The electronic control system 18 may include standard or custom connectors that meet predetermined specifications based on the application of the health-monitoring cover 14. Illustratively, harnesses and their corresponding connectors may be used.
Massage therapy system 86 may include bladders on both the seat back and seat bottom. Health-monitoring cover 14 includes pneumatic bladders 62 on the rear of the seat back. A sensory array may be located on the front of the seat back. The electrical connection at the center of the seat back. The cover of the seat back on the occupant side when the sensors are covered. The order of orientation of the massage components, sensor array, and heating mat may be adjusted to fit any particular seat's bite line. The massage therapy system 86 may include pneumatic bladders 62 on the seat bottom.
The layers of health-monitoring cover 14 may include a cover with three-dimensional mesh material, pneumatic bladders, a heat mat 60 with air flow openings 61, an elastomeric (or other suitable material) venting air channel layer, a sensor layer, and a back material.
An alternative construction may include a fan 80 to provide forced ventilation in backpack 54 with ducting 53 or wiring 52 passing through the seat bite 12B or bite line. The airflow may then split after the seat bite or bite line to the seat back and seat bottom as shown in
In one embodiment, an occupant wellness sensor pad system connected to a vehicle seat includes a seat mat with a seat back portion and seat bottom portion, a sensor array, an electronic control system, at least one integrated therapy system, and a wireless connection means through an electronic device. The occupant wellness pad system is installed on a vehicle seat at the seat bottom, seat back, or at a combination thereof, electronics may be housed within at least a portion of the vehicle seat.
The occupant wellness pad system may include integrated therapy means comprising optionally one or more of a massage therapy system and a thermal therapy system. The occupant wellness pad system may include a sensor array to detect and measure biometrics of an occupant seated in the vehicle seat. The occupant wellness pad may include pneumatic bladders. The occupant wellness pad may include a heat mat. The occupant wellness pad system may include a closed-loop biometric measurement and therapy system, with detection and determination of heart rate, respiration rate, and blood pressure. The occupant wellness sensor pad system may include a closed-loop biometric measurement and therapy system, with detection and determination of occupant presence.
This application claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Application Ser. No. 62/540,133, filed Aug. 2, 2017, which is expressly incorporated by reference herein.
Number | Name | Date | Kind |
---|---|---|---|
3580245 | Dill | May 1971 | A |
4031579 | Larned | Jun 1977 | A |
4655505 | Kashiwamura | Apr 1987 | A |
4707027 | Horvath | Nov 1987 | A |
4840425 | Noble | Jun 1989 | A |
4928090 | Yoshimi | May 1990 | A |
5069214 | Samaras | Dec 1991 | A |
5155685 | Kishi | Oct 1992 | A |
5462515 | Tseng | Oct 1995 | A |
6055473 | Zwolinski | Apr 2000 | A |
6087942 | Sleichter, III | Jul 2000 | A |
6120468 | Tseng | Sep 2000 | A |
6212719 | Thomas | Apr 2001 | B1 |
6273810 | Rhodes, Jr. | Aug 2001 | B1 |
6422087 | Potter | Jul 2002 | B1 |
7206631 | Kawachi | Apr 2007 | B2 |
7239945 | Hiemer | Jul 2007 | B2 |
7322652 | Tache | Jan 2008 | B1 |
7774052 | Burton | Aug 2010 | B2 |
7862113 | Knoll | Jan 2011 | B2 |
8123290 | Aiken | Feb 2012 | B1 |
8181292 | Pellettiere | May 2012 | B1 |
8328279 | Brncick | Dec 2012 | B2 |
8430817 | Al-Ali | Apr 2013 | B1 |
8616654 | Zenk | Dec 2013 | B2 |
8672411 | Gomes | Mar 2014 | B2 |
8725311 | Breed | May 2014 | B1 |
8757726 | Oota | Jun 2014 | B2 |
8919874 | Ota | Dec 2014 | B2 |
9135803 | Fields | Sep 2015 | B1 |
9440657 | Fields | Sep 2016 | B1 |
9475389 | Fung | Oct 2016 | B1 |
9505402 | Fung | Nov 2016 | B2 |
9717345 | Caruso | Aug 2017 | B1 |
9771003 | Kolich | Sep 2017 | B2 |
9848814 | Benson | Dec 2017 | B2 |
10179525 | Arata | Jan 2019 | B2 |
10235859 | Hiles | Mar 2019 | B1 |
10258535 | Lem | Apr 2019 | B2 |
10471864 | Tait | Nov 2019 | B1 |
20020091473 | Gardner | Jul 2002 | A1 |
20040243368 | Hiemer | Dec 2004 | A1 |
20050027416 | Basir | Feb 2005 | A1 |
20050124864 | MacK | Jun 2005 | A1 |
20050248184 | Piffaretti | Nov 2005 | A1 |
20060025698 | Nakagawa | Feb 2006 | A1 |
20060068693 | Kono | Mar 2006 | A1 |
20060175877 | Alionte | Aug 2006 | A1 |
20070029862 | Bargheer | Feb 2007 | A1 |
20070251749 | Breed | Nov 2007 | A1 |
20080296946 | Reynolds | Dec 2008 | A1 |
20090030576 | Periot | Jan 2009 | A1 |
20090164241 | Racioppo | Jun 2009 | A1 |
20100185068 | Park | Jul 2010 | A1 |
20100229181 | Ahuja | Sep 2010 | A1 |
20110015468 | Aarts | Jan 2011 | A1 |
20110066292 | Moriya | Mar 2011 | A1 |
20110133755 | Griffin | Jun 2011 | A1 |
20110156453 | Matsushima | Jun 2011 | A1 |
20110186560 | Kennedy | Aug 2011 | A1 |
20110304465 | Boult | Dec 2011 | A1 |
20120078123 | Futatsuyama | Mar 2012 | A1 |
20120212353 | Fung | Aug 2012 | A1 |
20130070043 | Geva | Mar 2013 | A1 |
20140031703 | Rayner | Jan 2014 | A1 |
20140039330 | Seo | Feb 2014 | A1 |
20140228649 | Rayner | Aug 2014 | A1 |
20140240132 | Bychkov | Aug 2014 | A1 |
20140276112 | Fung | Sep 2014 | A1 |
20150008710 | Young | Jan 2015 | A1 |
20150051526 | Wang | Feb 2015 | A1 |
20150151658 | Burris | Jun 2015 | A1 |
20150231991 | Yetukuri | Aug 2015 | A1 |
20150239321 | Muller | Aug 2015 | A1 |
20150313475 | Benson | Nov 2015 | A1 |
20160001781 | Fung | Jan 2016 | A1 |
20160019813 | Mullen | Jan 2016 | A1 |
20160029940 | Iizuka | Feb 2016 | A1 |
20160086500 | Kaleal, III | Mar 2016 | A1 |
20160339801 | Pereny | Nov 2016 | A1 |
20160339802 | Hanlon | Nov 2016 | A1 |
20170136842 | Anderson | May 2017 | A1 |
20170136922 | Von Ballmoos | May 2017 | A1 |
20170158202 | Yang | Jun 2017 | A1 |
20170282930 | Kochhar | Oct 2017 | A1 |
20170285641 | Goldman-Shenhar | Oct 2017 | A1 |
20170312534 | Cao | Nov 2017 | A1 |
20170326013 | Hyde | Nov 2017 | A1 |
20170340214 | Benson | Nov 2017 | A1 |
20180037236 | Yamaguchi | Feb 2018 | A1 |
20180178808 | Zhao | Jun 2018 | A1 |
20180229674 | Heinrich | Aug 2018 | A1 |
Number | Date | Country |
---|---|---|
1572575 | Feb 2005 | CN |
1956680 | May 2007 | CN |
103565429 | Feb 2014 | CN |
104837403 | Aug 2015 | CN |
0104875744 | Sep 2015 | CN |
102005038289 | Mar 2007 | DE |
102007053119 | May 2009 | DE |
102009021532 | Nov 2010 | DE |
1447070 | Aug 2004 | EP |
2010264092 | Nov 2010 | JP |
1020010061858 | Jul 2001 | KR |
1020140027641 | Mar 2014 | KR |
0101642697 | Aug 2016 | KR |
2013109154 | Jul 2013 | WO |
2013109154 | Jul 2013 | WO |
2014147828 | Sep 2014 | WO |
02014147828 | Sep 2014 | WO |
2015127193 | Aug 2015 | WO |
2015200224 | Dec 2015 | WO |
2016070981 | May 2016 | WO |
Entry |
---|
Chinese Rejection Decision for Chinese App. No. 201380064313.2 sent on May 17, 2018, 3376 CN, 13 pages. |
PCT International Search Report and Written Opinion completed by the ISA/US dated Apr. 22, 2014 and issued in connection with PCT/US2013/071620. |
Chinese Office Action for Chinese App. No. 201380064313.2 dated Apr. 12, 2017, 3376 CN, 21 pages. |
PCT Search Report and Written Opinion completed by the ISA/EP dated May 21, 2015 and issued in connection with PCT/US2015/016803, 13 pages. |
Chinese Office Action for Chinese App. No. 201380064313.2 dated Sep. 28, 2017, 3376 CN, 19 pages. |
Office Action dated Nov. 29, 2017 for U.S. Appl. No. 15/235,882; (pp. 1-7). |
European Examination Report for European App. No. 15 707 235.6 dated Feb. 6, 2018, 3619 EP, 7 pages. |
Chinese Office Action for Chinese App. No. 201710799929.9 dated Sep. 27, 2019, 4112 CN, 14 pages. |
Office Action dated Oct. 29, 2019 for U.S. Appl. No. 15/692,396, 4112 US-U (pp. 1-37). |
Office Action dated May 1, 2019 for U.S. Appl. No. 15/692,396, 4112 US-U (pp. 1-27). |
Office Action dated May 16, 2019 for U.S. Appl. No. 15/626,525, 4081 US-U (pp. 1-12). |
Office Action dated Sep. 3, 2019 for U.S Appl. No. 15/613,578, 4078 US-U, (pp. 1-20). |
Chinese Office Action for Chinese Pat. App. No. 201580011844.9 dated Nov. 19, 2619, 3619 CN, 13 pages, (brief summary included in English). |
Office Action dated Mar. 4, 2020 fo U.S. Appl. No. 15/678,710, 3376 US-U, (pp. 1-14). |
Chinese Office Action for Chinese Pat. App. No. 201580011844.9 dated Jul. 12, 2019, 3619 CN, 13 pages, (brief summary included in English). |
Chinese Office Action for Chinese Pat. App. No. 201580011844.9 dated Mar. 14, 2019, 3619 CN, 12 pages, (brief summary included in English). |
Chinese Office Action for Chinese Pat. App. No. 201580011844.9 dated Aug. 28, 2018, 3619 CN, 19 pages, (brief summary included in English). |
N. Mizuno and K. Washino, “A model based filtering technique for driver's heart rate monitoring using seat-embedded vibration sensors,” 2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP), Athens, 2014, pp. 137-140, doi: 10.1109/ISCCSP.2014.6877834. (Year: 2014). |
Second Chinese Office Action for Chinese App. No. 201710799929.9 dated Jul. 1, 2020, 4112 CN, 6 pages. |
Fifth Chinese Office Action for Chinese Pat. App. No. 201580011844.9 dated Mar. 13, 2020, 3619 CN, 13 pages, (brief summary included in English). |
Choi et al., “Noninvaisive cuffless blood pressure estimation usingpulse transit time and Hilbert-Huang transform,” Computers and Electridal Engineering Journal, 39, 103-111 (Nov. 8, 2012), 9 pages. |
Wong et al., “The Effects of Exercises on teh Relationship between Pulse Transit Time and Arterial Blood Pressure,” Proceedings of the 2005 IEEE Enginering in Medicine and Biology 27th Annual Conference, Shanghai, China , Sep. 1-4, 2005, 3 pages. |
Office Action dated Apr. 27, 2020 for U.S. Appl. No. 15/626,525, 4081 US-U (pp. 1-11). |
Office Action dated Apr. 30, 2020 for U.S. Appl. No. 15/873,034, 4296 US-U (pp. 1-24). |
European Examination Report for European App. No. 15 707 235.6 dated Apr. 15, 2020, 3619 EP, 5 pages. |
Office Action dated May 8, 2020 for U.S. Appl. No. 15/613,578, 4078 US-U (pp. 1-23). |
Office Action dated Sep. 24, 2020 for U.S. Appl. No. 15/626,525, 4081 US-U (pp. 1-10). |
Office Action dated Sep. 3, 2020 for U.S. Appl. No. 15/873,034, 4296 US-CON1 (pp. 1-17). |
Office Action dated Feb. 1, 2021 for U.S. Appl. No. 15/873,034, 4296 US-CON1 (pp. 1-19). |
Number | Date | Country | |
---|---|---|---|
20190038229 A1 | Feb 2019 | US |
Number | Date | Country | |
---|---|---|---|
62540133 | Aug 2017 | US |