Aspects of the present invention generally relate to compression garments, and particularly to monitoring use of compression garments.
A major concern for immobile patients and like persons are medical conditions that form clots in the blood, such as, deep vein thrombosis (DVT) and peripheral edema. Such patients and persons include those undergoing surgery, anesthesia, extended periods of bed rest, etc. These blood clotting conditions generally occur in the deep veins of the lower extremities and/or pelvis. These veins, such as the iliac, femoral, popliteal and tibial return, deoxygenated blood to the heart. For example, when blood circulation in these veins is retarded due to illness, injury or inactivity, there is a tendency for blood to accumulate or pool. A static pool of blood may lead to the formation of a blood clot. A major risk associated with this condition is interference with cardiovascular circulation. Most seriously, a fragment of the blood clot can break loose and migrate. A pulmonary emboli can form from the fragment potentially blocking a main pulmonary artery, which may be life threatening. The current invention can also be applied to the treatment of other conditions, such as lymphedema.
Conventional vascular compression systems include a compression sleeve or garment fluidly connected to a controller for cyclically inflating the sleeve. The sleeve wraps around a patient's limb and has one or more chambers, or bladders, inflated to provide compressive pulses to the limb, typically starting around the most distal portion of the limb (e.g., the ankle) and progressing sequentially toward the heart. The cyclical inflation of the compression garment enhances blood circulation and decreases the likelihood of DVT. Also, vascular compression systems may be applied to the treatment of other conditions, such as lymphedema.
An important monitoring parameter for compression systems is the venous refilling time (VRT) calculated by the controller, which is the normal time taken for the veins in the limb to distend with blood after compression. Current devices, such as those disclosed in U.S. Pat. No. 6,231,532, detect pressure change (e.g., via a pressure sensor) in the sleeve as a function of the change in girth of the limb to measure VRT. In turn, the controller adjusts the cycle of compressive pulses accordingly based on the calculated VRT.
Patient compliance with a prescribed compression regimen and usage of a compression system is a common problem. Unfortunately, it is nearly impossible in a health service setting for a medical professional to constantly monitor a patient during use of the system. Therefore a need exists for improved compliance monitoring.
In general, aspects of the invention relate monitoring a patient's compliance with a compression therapy regimen based on a determined VRT. In one aspect, a signal is received from a pressure sensor coupled to a compression garment that is sized and shaped to be wrapped around substantially a limb of a wearer. The signal is indicative of a change of girth of the limb. A venous refill time of the limb is determined as a function of the received signal and monitored. When the monitored venous refill time exceeds a predetermined threshold, a patient compliance timer is incremented.
A system embodying aspects of the invention monitors patient compliance with a compression therapy regimen. The system includes a compression garment, a compression control unit, and a pressure sensor. The garment is sized and shaped to be wrapped around substantially a body part of a wearer and has one or more fasteners for use in securing the garment in a self-retaining wrapped configuration around the body part. And the garment comprises one or more selectively inflatable bladders for applying compression to the body part upon inflation. The compression control unit comprises a pump for pressurizing fluid and an outlet port in fluid communication with the pump. The outlet port has fluid tubing connected thereto for selectively delivering pressurized fluid to at least one of the inflatable bladders. The pressure sensor is coupled to at least one of the bladders and generates a signal indicative of a change of girth of the body part when the garment is in the wrapped configuration. The control unit also includes one or more processors receiving and responsive to the signal generated by the pressure sensor for determining a venous refill time of the body part. The processor monitors the determined venous refill time and increments a patient compliance timer in response to the monitored venous refill time exceeding a predetermined threshold.
In another aspect, a method of monitoring patient compliance with a compression therapy regimen includes receiving a signal from a pressure sensor coupled to a compression garment. The signal is indicative of a change of girth of a limb when a compression garment is wrapped substantially around the limb. The method includes determining a venous refill time of the limb as a function of the received signal and monitoring the determined venous refill time. The monitored venous refill time is compared to a predetermined range of normal venous refill times. The method also includes correlating the monitored venous refill time to determine patient compliance as a function of the comparing.
Other objects and features will be in part apparent and in part pointed out hereinafter.
Corresponding reference characters indicate corresponding parts throughout the drawings.
Referring to
The garment 14, an exemplary embodiment of which is shown in
Referring again to
The pressure in the bladder 18b is then sensed by the pressure transducer 22 until it is determined that blood flow has been completely restored to the region of the limb underlying the bladder. The time elapsed to restore blood flow is characterized as a first venous refill time t1 and is stored by the controller 26. The bladder 18b is then pressurized to a second compression pressure (e.g., 30 mm Hg) and the same process is performed as was performed for the first compression pressure, resulting in a second venous refill time t2. The bladder 18b can then be pressurized to even more compression pressures (e.g., 45, 60 and 75 mm Hg) and the process performed for the first and second compression pressures can be repeated for each pressure level to produce venous refill times t3, t4, t5, tn, for each additional pressure level. It is understood that pressure amounts other than those described above and shown in
Alternatively, the bladder under inspection could be permitted to depressurize for a predetermined period of time, or to depressurize fully and then be repressurized until the pressure reaches the predetermined value, for example, 10 mm Hg. The pressure transducer 22 senses the pressure in bladder 18b for a time sufficient to allow the venous system in the limb to refill, i.e., engorge with blood again. The pressure as sensed by pressure transducer 22 rises as the limb expands upon filling with blood and reaches a generally steady state when the leg has refilled. The time between the start of depressurizing the bladder 18b and when this plateau occurs is measured to be the VRT.
For example, using the determined venous refill times t1-tn, the processor 54 determines a customized compression pressure by plotting the venous refill times for each selected pressure level on a graph as shown in
In the instance where multiple venous refill times are recorded for each selected compression pressure level, the refill times are averaged by the processor 54 to produce an average value for the given pressure level. These average values are then plotted and a best fit line is fit to the plot of the average values and the customized compression pressure and maximum venous refill time are extrapolated from the plot in the same manner as described above. If the garment 14 includes multiple bladders (e.g., ankle, calf and thigh bladders as shown in
In an additional or alternative embodiment, each time control unit 26 determines VRT, it cycles (i.e., inflates and deflates) bladder 18b through several values of compression pressure to obtain a corresponding VRT value for each value of compression pressure. The control unit 26 then calculates a maximum VRT, or Vmax. Vmax is ascertained by determining a best fit between the compression pressure values and the corresponding VRT values via any suitable fitting method (e.g., linear regression analysis). Specifically, a maxima of the best fit designated as Vmax. Desirably, instead of using individual VRT values, multiple VRTs are recorded and averaged for each compression pressure to provide an average VRT value for each compression pressure value.
A custom compression pressure Pc is then determined corresponding to Vmax and is designated as a target compression pressure of the compression therapy regimen of bladder 18b.
After applying compression therapy to the limb for a period of time the process for determining the customized compression pressure and maximum venous refill time can be repeated to determine new values. Additionally or alternatively, memory in the controller 26 can record the venous refill times sensed by the pressure transducer 22 during the compression therapy and, for example, average the recorded values to adjust the time between consecutive pressurizations of the bladder 18b based on the averaged refill times. These two processes ensure that the compression therapy being delivered to the limb adapts to the changing characteristics of the limb so that a customized compression therapy is delivered to the limb through the duration of the compression therapy.
As described above, processor 54 of the control unit 26 is responsive to the output signal of pressure sensor 22 for determining the VRT as described above. The unit 26 is further operable to monitor the determined VRT over time. Any aspect of the measured VRT may be monitored, including, but not limited to: individual VRT values, average VRT within a specific time window, average VRT within a moving time window. Variations in VRT over multiple VRT measurements and/or compressive cycles, the steady state pressure achieved during the VRT measurement, any compression cycle parameter, and so on.
Most patients have a normal VRT between 40-50 seconds for leg measurements, with inanimate leg forms generating VRT values as low as 30 seconds. A VRT of approximately 30 seconds is also typically observed when the garment 14 is not in use by the patient. Hence, the monitored VRT may be used for determining whether the patient is using the garment 14. Accordingly, in a preferred embodiment, control unit 26 stores and increments an active therapy time when the monitored VRT either falls within a normal range (e.g., 30-60 seconds), or simply exceeds a predetermined threshold (e.g., 30 seconds), both of which are indicative of normal usage of compression system 10. In this manner, the value of active therapy time is a measure of the patient wearing garment 14 and its sequential inflation and deflation. Alternatively, active therapy time is the cumulative time of controller operation during which the patient is deemed compliant.
In another embodiment, control unit 26 comprises an alarm 58 indicating to a user when the monitored VRT falls below the predetermined threshold. At this point, processor 54 ceases incrementing the active therapy time until further action is taken. The alarm 58 may be one or more of an audio alarm and a visual alarm. The user, typically the patient or a clinician monitoring the patient, may respond to the alarm 58 by indicating that the patient is indeed compliant, such as the case where a patient changes positions and causes an intermittent dip in monitored VRT. In other words, the user overrides the alarm. The therapy time would then continue to be incremented.
When the clinician indicates continued compliance by overriding the alarm 58 triggered by a lower VRT value (than the predetermined threshold), control unit 26 resets or revises the predetermined threshold value to the lower VRT value measured at the time of the override. In this manner, alarm 58 will not be triggered again until the monitored VRT dips to the revised threshold value. This prevents alarm 58 from becoming bothersome in the event the patient has or often achieves a lower VRT value for a justifiable reason such as unique physiology, posture, etc.
Alternatively, in response to alarm 58, the clinician may determine that the patient is not wearing the garment 14 and is therefore not being compliant with the compression regimen. The clinician may respond by turning off control unit 26, at which point the therapy time ceases to increment. The therapy time may advantageously be stored in a memory 62, external or internal to processor 54, for continued measurement the next time the control unit 26 is started.
In yet another embodiment, control unit 26 has a configurable option that allows therapy time to continue to increment despite the monitored VRT falling below the predetermined threshold. In this embodiment, accumulation of therapy time is halted only when a clinician turns off the control unit 26, in response to alarm 58 or otherwise. Continuing to increment the therapy timer in this manner permits the clinician to closely track an operation time of control unit 26, referred to hereafter simply as controller operation time. This embodiment is beneficial when monitoring patients with uncharacteristically low VRT, such as those suffering from venous insufficiency, for example. In such a patient, low VRT measurements may erroneously indicate non-compliance during use. The clinician with knowledge of the patient's condition can then manually control accumulation of therapy time.
Determining patient compliance from active therapy time may be carried out in a number of ways. In one embodiment, patient compliance is simply the therapy time value. In another embodiment, patient compliance is specified as a ratio between active therapy time and controller operation time.
In another embodiment, a shift time is monitored and has a specified value, such as 24 hours. Compliance is specified as a ratio between active therapy time and shift time. Once monitoring is initiated, both active therapy time and shift time are continually evaluated. When the operation time of the controller reaches the shift time (i.e., operation time=24 hours), the compliance measurement is limited to a rolling 24-hour (shift time) window. At any time point thereafter, active therapy time and hence compliance is accounted for only over the last 24 hours of operation. Desirably, shift time is programmable and resettable by a user. In this manner, a clinician or other healthcare provider can specify his or her own shift time, and then observe how long the patient has been compliant during the shift.
The control unit 26 further includes a controller interface 66. A display 70 of the interface 66, as illustrated in
A user may further access a Compliance Graph 90 (see
According to aspects of the invention, a method of monitoring patient compliance is generally illustrated in
If, at 410, the monitored VRT does not exceed the threshold, the alarm 58 is initiated at 420. At 424, the user responds by either overriding the alarm 58 or stopping the control unit 26. If the user chooses to override the alarm, 58, the threshold is set to the monitored VRT value at 428, and the active therapy time continues to increment as described above. If the user chooses at 424 to stop the control unit 26, the active therapy time is stored to memory 62 at 430, and the control unit 26 shuts down at 432.
According to further aspects of the invention, a method of monitoring patient compliance is generally illustrated in
If, at 510, the monitored VRT does not exceed the threshold, the alarm 58 is initiated at 520. At 524, the user responds by either overriding the alarm 58 or stopping the control unit 26. If the user chooses to override the alarm, 58, the threshold is set to the monitored VRT value at 528, and the active therapy time continues to increment as described above. If the user chooses at 524 to stop the control unit 26, the active therapy time is stored to memory 62 at 530, and the control unit 26 shuts down at 532.
Having described aspects of the invention in detail, it will be apparent that modifications and variations are possible without departing from the scope of the invention defined in the appended claims. For example, an upper predetermined threshold (e.g., 60 seconds) of monitored VRT may be defined that triggers the alarm as well. In other words, the alarm may be triggered above and below a predetermined range of normal VRT values, typically 30-60 seconds. The upper predetermined threshold may be resettable as well. Additionally, more than one inflation bladder may be connected to a different pressure sensor each, and the pressure readings from several pressure sensors may then be combined in any way possible to determine VRT and/or compliance.
The compliance percentage may, in addition to being indicated numerically as illustrated, also be displayed via graphical elements such as a pie chart (not shown). Interface 66 is desirably an integrated display with associated soft keys as illustrated, allowing the user to select and browse various elements described above using the soft keys. However, other constructions of the interface 66 are within the scope of the invention.
To improve patient compliance with compression therapy, there is a need for increasing clinician participation while providing the clinician a utility for compliance notification and monitoring. Several requirements must be fulfilled to achieve this goal. The clinician should be notified when compliance is purportedly not being achieved. Further, the clinician should be able to decide whether to deem the patient compliant or not, and adjust compliance parameters to each patient. Finally, the clinician should be able to monitor the duration of compliance for specific time periods, since they are more likely to be concerned with patient compliance during their work shift(s). A user-friendly compliance monitoring interface is provided for this purpose.
In view of the above, it will be seen that the several objects of the invention are achieved and other advantageous results attained.
Embodiments of the invention translate this detectable change in pressure to VRT and for indication of compliance, thereby providing a strong correlation between actual use and estimated compliance.
Additionally, by using the same pressure sensor and output to monitor VRT and usage, a controller is able to determine compliance without requiring additional, cumbersome hardware on the garment itself.
When introducing elements of the present invention or the preferred embodiments(s) thereof, the articles “a”, “an”, “the” and “said” are intended to mean that there are one or more of the elements. The terms “comprising”, “including” and “having” are intended to be inclusive and mean that there may be additional elements other than the listed elements.
As various changes could be made in the above constructions, products and methods without departing from the scope of the invention, it is intended that all matter contained in the above description and shown in the accompanying drawings shall be interpreted as illustrative and not in a limiting sense.
This application is a continuation of U.S. Ser. No. 12/894,826, filed Sep. 30, 2010, the entire contents of which is incorporated herein by reference.
Number | Name | Date | Kind |
---|---|---|---|
3866604 | Curless et al. | Feb 1975 | A |
4016868 | Allison | Apr 1977 | A |
4353359 | Milbauer | Oct 1982 | A |
4396010 | Arkans | Aug 1983 | A |
4469099 | McEwen | Sep 1984 | A |
4492234 | Arkans | Jan 1985 | A |
4605010 | McEwen | Aug 1986 | A |
4671290 | Miller et al. | Jun 1987 | A |
4679144 | Cox et al. | Jul 1987 | A |
4686998 | Robbins | Aug 1987 | A |
5010893 | Sholder | Apr 1991 | A |
5020527 | Dessertine | Jun 1991 | A |
5050613 | Newman et al. | Sep 1991 | A |
5052375 | Stark et al. | Oct 1991 | A |
5103833 | Apple | Apr 1992 | A |
5167237 | Rabin et al. | Dec 1992 | A |
5233987 | Fabian et al. | Aug 1993 | A |
5284133 | Burns et al. | Feb 1994 | A |
5307791 | Senoue et al. | May 1994 | A |
5331548 | Rollema et al. | Jul 1994 | A |
5337750 | Walloch | Aug 1994 | A |
5339825 | McNaughton et al. | Aug 1994 | A |
5443440 | Tumey et al. | Aug 1995 | A |
5459700 | Jacobs | Oct 1995 | A |
5474083 | Church et al. | Dec 1995 | A |
5514079 | Dillon | May 1996 | A |
5575762 | Peeler et al. | Nov 1996 | A |
5591200 | Cone et al. | Jan 1997 | A |
5622180 | Tammi et al. | Apr 1997 | A |
5718232 | Raines et al. | Feb 1998 | A |
5769801 | Tumey et al. | Jun 1998 | A |
5800458 | Wingrove | Sep 1998 | A |
5806512 | Abramov et al. | Sep 1998 | A |
5810735 | Halperin et al. | Sep 1998 | A |
5840049 | Tumey et al. | Nov 1998 | A |
5843007 | McEwen et al. | Dec 1998 | A |
5929782 | Stark et al. | Jul 1999 | A |
5968073 | Jacobs | Oct 1999 | A |
5982285 | Bueche et al. | Nov 1999 | A |
6047203 | Sackner et al. | Apr 2000 | A |
6051016 | Mesaros et al. | Apr 2000 | A |
6102874 | Stone et al. | Aug 2000 | A |
6135106 | Dirks et al. | Oct 2000 | A |
6171270 | Gau | Jan 2001 | B1 |
6188407 | Smith et al. | Feb 2001 | B1 |
6200265 | Walsh et al. | Mar 2001 | B1 |
6231532 | Watson | May 2001 | B1 |
6338719 | Drzewiecki et al. | Jan 2002 | B1 |
6381482 | Jayaraman et al. | Apr 2002 | B1 |
6387065 | Tumey | May 2002 | B1 |
6416471 | Kumar et al. | Jul 2002 | B1 |
6436058 | Krahner et al. | Aug 2002 | B1 |
6440093 | McEwen et al. | Aug 2002 | B1 |
6450981 | Shabty et al. | Sep 2002 | B1 |
6468237 | Lina | Oct 2002 | B1 |
6514200 | Khouri | Feb 2003 | B1 |
6527711 | Stivoric et al. | Mar 2003 | B1 |
6544202 | McEwen et al. | Apr 2003 | B2 |
6551252 | Sackner et al. | Apr 2003 | B2 |
6616579 | Reinbold et al. | Sep 2003 | B1 |
6736787 | McEwen et al. | May 2004 | B1 |
6775577 | Crnkovich et al. | Aug 2004 | B2 |
6926667 | Khouri | Aug 2005 | B2 |
6953440 | Porrata et al. | Oct 2005 | B2 |
7115104 | Van Brunt et al. | Oct 2006 | B2 |
7118534 | Ward et al. | Oct 2006 | B2 |
7125383 | Hoctor et al. | Oct 2006 | B2 |
7207959 | Chandran | Apr 2007 | B1 |
7214192 | Poliac et al. | May 2007 | B2 |
7244225 | Loeb et al. | Jul 2007 | B2 |
7354411 | Perry et al. | Apr 2008 | B2 |
7395109 | Drakulic | Jul 2008 | B2 |
7398803 | Newton | Jul 2008 | B2 |
7410475 | Krensky et al. | Aug 2008 | B2 |
7425203 | Van Brunt et al. | Sep 2008 | B2 |
7426157 | Arnold et al. | Sep 2008 | B2 |
7593765 | Rapoport et al. | Sep 2009 | B2 |
7618384 | Nardi et al. | Nov 2009 | B2 |
7637879 | Barak et al. | Dec 2009 | B2 |
7909786 | Bonnefin et al. | Mar 2011 | B2 |
7947003 | Bonnefin et al. | May 2011 | B2 |
8025632 | Einarsson | Sep 2011 | B2 |
8128584 | Brown | Mar 2012 | B2 |
8257289 | Vess | Sep 2012 | B2 |
8578939 | Kimani Mwangi et al. | Nov 2013 | B1 |
8630699 | Baker et al. | Jan 2014 | B2 |
9044372 | Wild et al. | Jun 2015 | B2 |
20020045804 | Christopherson et al. | Apr 2002 | A1 |
20020087054 | Lin et al. | Jul 2002 | A1 |
20030078528 | Rahman et al. | Apr 2003 | A1 |
20030125649 | McIntosh et al. | Jul 2003 | A1 |
20030135127 | Sackner et al. | Jul 2003 | A1 |
20030216651 | Burns et al. | Nov 2003 | A1 |
20040030270 | Johnson | Feb 2004 | A1 |
20040054306 | Roth et al. | Mar 2004 | A1 |
20040127937 | Newton | Jul 2004 | A1 |
20040199232 | Wallace et al. | Oct 2004 | A1 |
20050033351 | Newton | Feb 2005 | A1 |
20050107725 | Wild et al. | May 2005 | A1 |
20050159690 | Barak et al. | Jul 2005 | A1 |
20060058716 | Hui et al. | Mar 2006 | A1 |
20060122544 | Ciluffo | Jun 2006 | A1 |
20070010749 | Meng | Jan 2007 | A1 |
20070049853 | Adams et al. | Mar 2007 | A1 |
20070083152 | Williams, Jr. et al. | Apr 2007 | A1 |
20070088239 | Roth et al. | Apr 2007 | A1 |
20070173886 | Rousso et al. | Jul 2007 | A1 |
20070249977 | Bonnefin et al. | Oct 2007 | A1 |
20080033307 | Baudoin et al. | Feb 2008 | A1 |
20080177159 | Gavriely | Jul 2008 | A1 |
20080183095 | Austin et al. | Jul 2008 | A1 |
20080188781 | Carkner et al. | Aug 2008 | A1 |
20080281630 | Sekura | Nov 2008 | A1 |
20080312522 | Rowlandson et al. | Dec 2008 | A1 |
20090005703 | Fasciano | Jan 2009 | A1 |
20090024062 | Einarsson | Jan 2009 | A1 |
20090036786 | Gough et al. | Feb 2009 | A1 |
20090048525 | Rogers et al. | Feb 2009 | A1 |
20090063194 | Rosneck et al. | Mar 2009 | A1 |
20090234265 | Reid, Jr. et al. | Sep 2009 | A1 |
20090259169 | Loori et al. | Oct 2009 | A1 |
20110190675 | Vess | Aug 2011 | A1 |
20120083712 | Watson et al. | Apr 2012 | A1 |
20130231596 | Hornbach et al. | Sep 2013 | A1 |
Number | Date | Country |
---|---|---|
201516113 | Jun 2010 | CN |
0898475 | Aug 2002 | EP |
1645254 | Apr 2006 | EP |
2359785 | Aug 2011 | EP |
08280635 | Oct 1996 | JP |
2008114048 | May 2008 | JP |
0000155 | Jan 2000 | WO |
03007855 | Jan 2003 | WO |
2004062724 | Jul 2004 | WO |
2006043080 | Apr 2006 | WO |
2007041806 | Apr 2007 | WO |
2011112442 | Sep 2011 | WO |
2016055992 | Apr 2016 | WO |
Entry |
---|
Bogatin, “PCB Directions,” Printed Circuit Design & Manufacture, Oct. 2003, vol. 20, Issue 10, Atlanta, GA, 1 page. |
Gungor et al., “A New Micro-Controller based Wear-Time Monitor for Use with Removable Orthodontic Appliances”, Proceedings of the 19th Annual International Conference—IEEE/EMBS, Oct. 30 thru Nov. 2, 1997. Chicago, IL, USA. 3 pages. |
Kadiallah et al, “Impedance Control is Tuned to Multiple Directions of Movement,” Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2008:5358-61, Aug. 2008, 4 pages. |
Prance, “Novel Sensor Enables Remote Biometric-Data Acquisition,” Department of Engineering and Design—University of Sussex, 2008 SPIE, 2 pages. |
SCD Response Compression System Controller. http://www.kendallvasculartherapy.com/VascularTherapy/ . . . Feb. 9, 2009, 1 page. |
“Doctor Life Health Care”. www.dsmaref.com as known as 2010, 41 pgs. |
Aircast Inc., VenaFlow Operator's Manual, Apr. 4, 2001. 26 pgs. |
“Compression Devices” www.mweb.com. vol. 67, No. 2, Feb. 2004. 2 pgs. |
Orthofix Vascular Novamedix, “Take a step into the world of foot impulse technology” www.orthofix.com/avimpulse. as known as 2008, 4 pgs. |
Tyco/Healthcare KENDALL, “SCD Express Compression System”. as known as 2001, 24 pgs. |
Patel et al., “Detecting Human Movement by Differential Air Pressure Sensing in HVAC System Ductwork: An Exploration in Infrastructure Mediated Sensing,” Proceeding Pervasive '08 Proceedings of the 6th International Conference on Pervasive Computing, Sydney, Australia—May 19-22, 2008, 18 pages. |
Asada, H. Harry, et al., “Mobile Monitoring with Wearable Photoplethysmographic Biosensors”, IEEE Engineering in Medicine and Biology Magazine, May/Jun. 2003, 13 pages. |
Breault, Martine, “A Biomechanical Investigation of Blood Flow Occlusion Achieved With the Use of Surgical Pneumatic Tourniquets”, B.A.Sc., McGill University, Montreal, 1985, University of British Columbia, Oct. 1988, 252 pages. |
Coppin, Rhiannon, et al., “Functional Specifications for an Infant Monitoring System”, http://www.sfu.ca/˜rtrost/zentech, Feb. 16, 1999, 24 pages. |
Côté, MD Johanne et al., “Compliance With Peak Expiratory Flow Monitoring in Home Management of Asthma”, Clinical Investigations, CHEST / 113 / 4 / Apr. 1998, 5 pages. |
Fahrenberg, J. & Myrtek, M (Eds.), “Origins and Developments of Ambulatory Monitoring and Assessment”, Progress in Ambulatory Assessment, Computer-assisted Psychological and Psychophysiological Methods in Monitoring and Field Studies, Forschungsgruppe Psychophysiologie, Department of Psychology, University of Freiburg, Germany Chapter 35, 2001, pp. 587-616, 30 pages. |
Felton, Kevin, CO, LO, “The Use of Adherence Monitors with Orthoses”, JPO 1999; vol. 11, No. 4, p. 98, 3 pages. |
Finkelstein, Joseph, et al., “Home Automated Telemanagement (HAT) System to Facilitate Self-Care of Patients with Chronic Diseases”, Medical Information Systems Unit, Boston University, Boston, MA, Systemics, Cybernetics and Informatics, 2003, vol. 1, No. 3, 5 pages. |
Havey, Robert, BS, et al., “A Reliable and Accurate Method for Measuring Orthosis Wearing Time”, SPINE vol. 27, No. 2, pp. 211-214, © 2002, Lippincott Williams & Wilkins, Inc., 4 pages. |
Lou, E., et al., “The daily force pattern of spinal orthoses in subjects with adolescent idiopathic scoliosis”, Prosthetics and Orthotics International, 2002, 26, 58-63, 6 pages. |
Scanlon, Michael V., “Acoustic Sensor for Health Status Monitoring”, Army Research Laboratory, Night Vision and Electronic Sensors Directorate, Security Team, 1998, 10221 Burbeck Rd., Ft. Belvoir, VA22060-5806, 19 pages. |
Verschelden, P., et al., “Compliance with and accuracy of daily self-assessment of peak expiratory flows (PEF) in asthmatic subjects over a three month period”, European Respiratory Journal, 1996, 9, pp. 880-885, 6 pages. |
Office action dated Feb. 17, 2012 in related U.S. Appl. No. 12/894,826, 13 pages. |
Response filed May 10, 2012 to Office Action dated Feb. 17, 2012 in related U.S. Appl. No. 12/894,826, 9 pages. |
Office action dated Jul. 23, 2012 in related U.S. Appl. No. 12/894,826, 11 pages. |
Response filed Sep. 24, 2012 to Office Action dated Jul. 23, 2012 in related U.S. Appl. No. 12/894,826, 5 pages. |
Appeal brief dated Dec. 26, 2012 in related U.S. Appl. No. 12/894,826, 14 pages. |
Examiner's answer dated Mar. 22, 2013 to Appeal brief dated Dec. 26, 2012 in related U.S. Appl. No. 12/894,826, 20 pages. |
Reply brief dated May 21, 2013 to Examiner's answer dated Mar. 22, 2013 in related U.S. Appl. No. 12/894,826, 6 pages. |
Decision of appeal dated Mar. 17, 2016 in related U.S. Appl. No. 12/894,826, 7 pages. |
Office action dated Aug. 12, 2016 in related U.S. Appl. No. 12/894,826, 5 pages. |
Response filed Nov. 10, 2016 to Office Action dated Aug. 12, 2016 in related U.S. Appl. No. 12/894,826, 9 pages. |
English Translation of Notice of Reasons for Rejection dated Mar. 1, 2013 in related Japanese patent application No. 2011-215391, 6 pages. |
English Translation of Office Action dated Nov. 26, 2013 in related Chinese Patent Application No. 201110303696.1, 5 pages. |
Office Action dated May 6, 2014 in related Australian Patent Application No. 2013201701, 3 pages. |
Office Action with English Translation of Office Action dated Aug. 3, 2016 in related Chinese Application No. 201410555763.2, 11 pages. |
European Search Report for Application No. EP11182113, dated on Jan. 20, 2012, 4 pages. |
European Search Report for Application No. EP13187415, dated on Jan. 14, 2014, 4 pages. |
Patel, Shwetak N., et al., “Detecting Human Movement by Differential Air Pressure Sending in HVAC System Ductwork: An Exploration in Infrastructure Mediated Sensing”, College of Computing, School of Interactive computing, !!. GVU Center, Georgia Institute of Technology, Springer-Verlag Berlin Heidelberg, 2008, 18 pages. |
Number | Date | Country | |
---|---|---|---|
20170196502 A1 | Jul 2017 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 12894826 | Sep 2010 | US |
Child | 15452971 | US |