The present disclosure is a device, system and method of providing rehabilitation to several types of patients in a rehabilitation hospital or outpatient clinic. The approach integrates an actuated tilting and lifting low-friction rehabilitation table, video or infrared tracking of the patient's arm, or arms, and opposite shoulder, one or two low-friction forearm support(s) with grasping force sensing and finger extension sensing, remote data transmission and additional weighting means, one or more large displays, a computer, a control box, and a plurality of video games.
A training system for arm rehabilitation is described in Yu-Luen Chen et al., “Aid Training System for Upper Extremity Rehabilitation,” 2001 Proceedings of the EMBS International Conference, Istanbul, Turkey. Patients exercise on a special table that incorporates reed relays and a hand support (“arm skate”) with small underside wheels. The movement of the arm in the arm skate on the supporting table is detected by the interaction of the magnet incorporated in the arm skate with the relays integrated in the table. A computer presents a variety of patterns on its monitor, which the patient needs to replicate to improve arm coordination, with performance data stored by the computer in a clinical database. The table is horizontal, not tilted, and does not use virtual reality simulations.
Another training system that uses a forearm support on a table for rehabilitation purposes is described by some of the inventors of the present specification in Kutuva et al., “The Rutgers Arm: An Upper-Extremity Rehabilitation System in Virtual Reality,” Proceedings of the Fourth International Workshop on Virtual Rehabilitation (IWVR '05), pp. 94-103, Catalina Island, Calif., September 2005. The table has a low-friction surface and a forearm support has a low-friction underside (made of TEFLON® studs). The tracking of the forearm movement is done by a magnetic tracker (Fastrack, Polhemus Inc.), with a sensor mounted on the forearm support, and an emitter mounted on the table away from the patient. Patients exercise sitting at the table and looking at a computer monitor, while playing a plurality of virtual reality games. The games are designed to improve motor coordination, as well as dynamic arm response. The table does not tilt.
Several tilting tables exist commercially and are used in rehabilitation. They are meant for people who have low blood pressure and who get dizzy when they stand up. Tilting tables are also used for the rehabilitation of patients who have to lie down for a long period of time. The person lies face up on a padded table with a footboard and is held in place with a safety belt. The table is tilted so that the angle is very slowly increased until the person is nearly upright. By slowly increasing the angle, the patient's blood vessels regain the ability to constrict.
A study describes development of a sensorized tilt table which measures and displays the knee bent angle and pressure for each foot during exercise in real time, as described in Kimet et al. “An Intelligent Tilt Table for Paralytic Patients,” 3rd Kuala Lumpur International Conference on Biomedical Engineering, Kuala Lumpur, Malaysia, 2006. It is expected that the patient's exercising effect can increase by monitoring these two values during exercise. Tilt tables are known for providing tilting manually or using an electrical motor, such as in a Rehab Electric Tilt Table manufactured by Cardon Rehab.
An automated stepping training developed with the tilting table is described in Colombo et al. “Novel Stepping Mechanism: Design Principles and Clinical Application,” Rehabilitation Robotics, ICORR 2005. Unlike the previous tilting tables it exercises the feet in stepping. No virtual reality simulation is incorporated and tilting is done manually, rather than determined by a simulation.
All of the above tilting-table based systems are for rehabilitation of the legs. The tilting tables described above do not incorporate virtual reality simulations and do not store/upload clinical data automatically. They have a single degree of freedom (the tilting angle).
Some of the inventors have used the BrightArm Duo tilting and lifting rehabilitation table for rehabilitation of chronic stroke survivors who are long term nursing home residents. House G, G. Burdea, K. Polistico, D. Roll, J. Kim, F. Damiani M D, S. Keeler, J. Hundal, S. Pollack. Integrative rehabilitation of stroke survivors in Skilled Nursing Facilities: the design and evaluation of the BrightArm Duo. Disability and Rehabilitation-Assistive Technology. November 2016. 11 (8):683-94. Patients exercise both arms supported by forearm supports while playing adaptable games. The system is designed to train both arms and mind. Two overhead cameras are used to track the forearms of the patients and are located on an overhead beam that maintains camera orientation versus the table surface regardless of tilt. Arm reach and grasp strength are measured at the start of session so as to adapt games to dissimilar arm capabilities. A similar setting was used for patients with chronic upper body pain, which affects the motor function, strength and range of the arms. House G, G Burdea, N Grampurohit, K Polistico, D Roll, F Damiani, J Hundal, D Demesmin. Integrative Virtual Reality Therapy Produces Lasting Benefits for a Young Woman Suffering from Chronic Pain and Depression Post Cancer Surgery: A Case Study. 11th Int Conference on Disability and Virtual Reality Technology, September 2016, Los Angeles. Since chronic pain is also associated with depression, study results have shown a reduction of depression severity in a group of 6 breast cancer survivors after 8 weeks of therapy on the BrightArm Duo. House G, Burdea G, N Grampurohit, K Polistico, D Roll, F Damiani, J Hundal, D Demesmin. A feasibility study to determine the benefits of upper extremity virtual rehabilitation therapy for coping with chronic pain post-cancer surgery. The British Journal of Pain, November 2016, 10(4):186-197. doi 10.1177/2049463716664370.
Systems for rehabilitating the arms are known, and are based on force feedback joysticks (such as those manufactured by Logitech or Microsoft), or various types of planar or 3D robots. Examples of planar robots are the MIT Manus or those described in Colombo et al., “Upper Limb Rehabilitation and Evaluation of Stroke Patients Using Robot-Aided Techniques”, Rehabilitation Robotics, 515-518 (2005). Other examples of 3D robots are the Reo robot manufactured by Motorika, N.J., or the Haptic Master manufactured by FCS, Holland.
Other upper limb rehabilitation systems have been described. U.S. Pat. No. 7,204,814 describes an orthotic system that performs predefined or user-controlled limb movements, collects data regarding the limb movement, performs data analysis and displays the data results, modifies operational parameters based on the data to optimize the rehabilitative process performed by the system. A force sensor data, torque data and angular velocity data can be collected using an external actuating device.
U.S. Patent Application Publication No. 2007/0060445 describes a method and apparatus for upper limb rehabilitation training of coordinated arm/forearm, forearm/forearm, and grasping movements comprising a non-robotic, passive support, an arm/forearm sensor, gripping device and sensor. A computer processes measurements of movements to control a graphical representation of the arm/forearm and grasping movements in interaction with a virtual environment.
It is desirable to provide a device, system and method for rehabilitation of one or both upper limbs in which an activated low-friction tilting and lifting table provides a plurality of degrees of freedom and grasping force and finger extension sensing are integrated into a video tracking system.
The present disclosure integrates an actuated tilting and lifting rehabilitation table, video tracking of one or both of the patient arm(s) and shoulder, low-friction forearm supports with grasping force and finger extension sensing, remote data transmission and additional weighing means, one or more large displays, a computer, a control box, and a plurality of simulation exercises, such as therapeutic video games. The patient can be monitored by a local or remote clinician. Online storage of data obtained by the rehabilitation tilting table can be provided. Automated session report can be generated. Additionally, the table surface can be constructed as a graphics display making a separate display unnecessary.
In one embodiment, a patient's arm rests on a forearm support that has infrared LEDs. The patient wears similar LEDs on the opposite shoulder, and an infrared video camera is used to track the patient's arm movement on the table. The table tilts in order to increase exercise difficulty due to gravity loading on the patient's arm. In one embodiment, the present the invention includes an actuated tilting table which tilts in four degrees of freedom. A large display, facing the patient presents a sequence of rehabilitation games with which the patient interacts by moving the arm resting on the low-friction support, on the table surface.
In another embodiment the patient sits in a wheel chair, while resting both arms which are tracked by infrared trackers, such as those available commercially. The shape of the table surface is such as to accommodate the trunk of the patient seated at the table. The underside of the table has a safety mechanism to detect a proximity of the knees and legs of a patient. The table actuators are elevated from the table frame, so as to allow a patient to stretch his or her legs in front of the wheelchair.
The foregoing features of the present disclosure will be apparent from the following Detailed Description of the Invention, taken in connection with the accompanying drawings, in which:
Reference will now be made in greater detail to a preferred embodiment of the invention, an example of which is illustrated in the accompanying drawings. Whenever possible, the same reference numerals will be used throughout the drawings and the description to refer to the same or like parts.
Patient 5 sits in chair 6 and rests arm 7 to be rehabilitated in low-friction forearm support 25. Patient 5 exercises while watching display 8 placed at the opposite side of tilting table 2. Preferably, display 8 is a large display having dimensions of at least about 9 ft by 6 ft. Video camera 9 is attached to vertical support 10. Vertical support 10 can be U-shaped and rigid. Vertical support 10 extends from and is attached to top surface 3. This arrangement allows video camera 9 to view tilting table 2 and patient 5 simultaneously. Video camera 9 can be a conventional digital camera. Infrared filter 11 can be attached to lens 12 of video camera 9. LEDs 13 are mounted at the corners of top surface 3 and can be wired to direct current source (not shown). For example, three LEDs can be used for providing calibration of video camera 9. Vertical support 10 is mounted to top surface 3 such that it keeps the same relative orientation regardless of tilt angle 15 of top surface 3, thereby making re-calibration of video camera 9 unnecessary once tilt angle 15 changes during a rehabilitation session.
Computer 16 renders exercise simulation 17 and displays them on display 8. For example, exercise simulation 17 can be an animated or virtual reality sequence. Computer 16 is preferably a multi-core PC workstation. Computer 16 also receives input from video camera 9. Computer 16 runs tracking software 18 and communicates with controller 19. Controller 19 activates actuators 20 to provide tilt of top surface 3. Computer 16 is connected to Internet 66 and transparently uploads clinical data 67 to remote clinical database server 68. Remote computer 181 connected to clinical database server 68 over Internet 66 is used to execute remote graphing software 180.
Tilt angle 15 is produced by two or more actuators 20 placed under top surface 3, as shown in
A side view of the patient 5 sitting in chair 6 and using of forearm support assembly 25 used by patient 5 is shown in
A system block diagram for the tilting rehabilitation table system 1 is illustrated in
The tilting and lifting table 214 has a top surface 216 and an underside surface 218. The tilting and lifting table 214 may have a shape matching the perimeter of a person's arm span reaching forward and sweeping back, with a parabolic entry 215 to accommodate a patient 202 when seated at the tilting and lifting table 214 of the tilting rehabilitation table system 200. The parabolic entry 215 accommodates a torso of the patient 202. In addition, the parabolic entry 215 may also accommodate a manually operated (e.g., a wheel chair) or a power-driven device designed for use by a patient 202 with a mobile disability. The parabolic entry 215 is placed such that the tilting axis 3000 of the top surface 216 passes through the torso of patient 202.
A sensor 222a may be positioned on an interior wall 220a of the parabolic entry 215 and another sensor 222b may be positioned on an interior wall 220b of the parabolic entry 215. The sensors 222a and 222b may be infrared or LED sensors or the like. The sensors 222a and 222b may detect whether a patient 202 is properly seated at the tilting and lifting table 214 of the tilting rehabilitation table system 200 by detecting whether a beam between the sensors 222a and 222b is interrupted when the patient 202 is seated. In addition, at least one sensor 226 (not illustrated) may be positioned on the underside surface 218 of the tilting and lifting table 214. The sensor 226 (not illustrated) may be also be an infrared or LED sensor or the like. The sensor 226 may detect a position of the legs of the patient 202 via an infrared beam such that the tilting and lifting table 214 does not immediately contact the legs of the patient 202.
The tilting and lifting table 214 may be symmetrical, light weight and have a low-friction top surface. For example, the tilting and lifting table 214 may be carbon fiber or another durable and light weight material wherein the top surface 216 has a low-friction coating. Suitable low-friction coatings may include TEFLON® sheets or Formica or other such materials.
To use the tilting rehabilitation table system 200, the patient 202 rests at least one arm to be rehabilitated on the top surface 216 of the tilting and lifting table 214 wherein the at least one arm is positioned in a low-friction forearm controller (not illustrated) to allow for pronation and supination forearm rotation. The low-friction underside of the forearm controller minimizes friction between the at least one arm of the patient 202 and the top surface 216 of the tilting and lifting table 214 as the patient 202 moves the forearm controller over the top surface 216. For example, the low-friction forearm controller may be a controller as disclosed in U.S. patent application Ser. No. 15/669,952. It is appreciated that the tilting and lifting rehabilitation table system 200 may benefit a patient 202 with at least one weak arm such as a patient 202 who has survived a stroke. The tilting and lifting rehabilitation system 200 may also benefit a patient 202 having chronic upper body pain (e.g., nerve pain), a traumatic brain injury (e.g., a brain concussion) and/or arthritis (e.g., rheumatoid arthritis), or any patient in need of physical and/or mental rehabilitation.
A size of the tilting and lifting table 214 may meet at least the ninetieth percentile of an average adult's reach when seated at the tilting and lifting table 214 of the tilting rehabilitation table system 200. Accordingly, the tilting rehabilitation table system 200 requires less clinical space for operation, transport when stowed (e.g., the system 200 may fit through a doorway) and storage when stowed. For example, tilting and lifting table 214 has reduced size than tilting table 224 of other aspects of the tilting and lifting rehabilitation table system.
The patient 202 exercises via the forearm controller while viewing a graphic display 208 on a display 206. The display 206 may be a medical grade monitor or television (e.g., a high-definition television (HDTV)), have any suitable dimensions, large or small, such as a television of 43″ diagonal, or larger, or smaller, and include at least one speaker to provide sounds associated with the graphic display 208. The display 206 is mounted on a vertical support 210 such that the patient 202 may view the graphic display 208 on the display 206 when seated at the tilting and lifting table 214 even when the tilting and lifting table 214 is positioned at an angle. The vertical support 210 may be rigid, hollow and houses a lift and tilt mechanism 212 for modifying a position of the tilting and lifting table 214 relative to the patient 202. Infrared emitters 204 are also mounted on the vertical support 210, or on the TV, via a rigid U-shaped support 228, or other suitable mounting means, wherein the infrared emitters 204 are fixed on the support 228 and positioned at or above the display 206. The infrared emitters 204 may also be positioned to be even with sides of the display 206. The infrared emitters 204 may be HTC VIVE infrared emitters, which are commercially available. Alternatively, the infrared emitters 204 may be conventional digital cameras having infrared filters attached to the lenses thereof.
The arrangement of the infrared emitters 204 and display 206 relative to the patient 202 allows the infrared emitters 204 to be directed to the tilting and lifting table 214 and patient 202 simultaneously. Infrared receivers/detectors may be mounted on the top surface 216 of the tilting and lifting table 214 to calibrate the infrared emitters 204 and to locate movement and position on the patient's arms during use. The support bar 228 is mounted to the vertical support 210 such that the support bar 228 maintains the same relative orientation regardless of a tilt angle of the top surface 216, thereby making re-calibration of the infrared emitters 204 unnecessary if a tilt angle of the tilting and lifting table 214 changes during a rehabilitation session. The vertical support 210 is positioned on a top frame 234 of the base 230 such that the legs of the patient 202 may be accommodated under the tilting and lifting table 214 without interference from a base of the vertical support 210.
Computer 232 may be enclosed in a box for safety and protection, while a control box 233 (
The computer 232 may be a multi-core PC workstation. To render graphics quickly, it is appreciated that computer 232 may incorporate a graphics card (not shown). Computer 232 receives an input from the forearm supports based on signals from the infrared emitters 204. As mentioned above with reference to
Accordingly, the tilting and lifting rehabilitation table system 200 provides advantages over conventional systems and methods relating to an elevated intensity of a rehabilitation session and lower costs of a rehabilitation session based on the automated collection, compilation and transmission of clinical data regarding the rehabilitation session. Further advantages of the system 200 is that the system 200 allows for training both arms simultaneously, which is associated with a higher level of brain training and physical exercise. Yet another advantage of the system 200 is increased patient 202 safety. The system 200 is passive wherein actuators are not connected directly to the arms of a patient 202, unlike rehabilitation robots which are active elements.
A height of the tilting and lifting table 214 may be modified by the first actuator 250a in combination with the rolling assembly 256 An angle of the tilting and lifting table 214 may be modified by the second actuator 250b in combination with the slit-pinion mechanism 262. The first actuator 250a and the second actuator 250b may be linear electrical actuators. For example, the first actuator 250a may be a Progressive Automations PA-18_10 linear actuator and the second actuator 250b may be a Progressive Automations PA-18-30 linear actuator. A control box 233 (
The rolling assembly 256 includes a plurality of plastic roller pairs 270, a metal plate 272 having an extension 274 and an opening 276, and a mating bar 278 positioned within the opening 276. The plurality of plastic roller pairs 270 are configured such that respective rollers of a pair are positioned on opposite sides of the metal plate 272. In addition, half of the plurality of plastic roller pairs 270 may be positioned within the vertical support 210 and half of the plurality of plastic roller pairs 270 may be positioned outside of the vertical support 210. The plurality of plastic roller pairs 270 may include plastic rollers similar to those known in the art (e.g., roller blade rollers). It is envisioned that such plastic rollers reduce the noise generated when lifting or lowering the table 214. The extension 274 couples the rolling assembly 256 to the first vertical shuttle 252a and the opening 276 couples the rolling assembly 256 to the lateral linkage system 258. Specifically, the mating bar 278, positioned within the opening 276, may be positioned within the first support 260a to couple the rolling assembly 256 to the first support 260a of the lateral linkage system 258. The first actuator 250a and first vertical shuttle 252a in combination with the rolling assembly 256 may modify the height of the tilting and lifting table 214 with minimal noise and/or vibration. It is appreciated that the plurality of plastic roller pairs 270 may be vibration dampeners and motion guides.
It is to be understood that the above-described embodiments are illustrative of only a few of the many possible specific embodiments, which can represent applications of the principles of the invention. Numerous and varied other arrangements can be readily devised in accordance with these principles by those skilled in the art without departing from the spirit and scope of the present disclosure.
The present application is a continuation-in-part of U.S. patent application Ser. No. 14/575,519, filed Dec. 18, 2014, now U.S. Pat. No. 9,868,012 which is a continuation of U.S. patent application Ser. No. 12/192,818, filed Aug. 15, 2008, both of which claim the benefit of and priority to U.S. Provisional Patent Application No. 60/964,861, filed Aug. 15, 2007, all of which are hereby incorporated by reference in their entirety.
This invention was made with government support under grant 2R44AG044639-04 awarded by The National Institutes of Health. The United States government has certain rights in the invention.
Number | Name | Date | Kind |
---|---|---|---|
4002165 | Lind | Jan 1977 | A |
4337050 | Engalitcheff, Jr. | Jun 1982 | A |
4375674 | Thornton | Mar 1983 | A |
4471957 | Engalitcheff, Jr. | Sep 1984 | A |
4637789 | Netznik | Jan 1987 | A |
4773639 | Graves | Sep 1988 | A |
4861051 | Napper | Aug 1989 | A |
4885687 | Carey | Dec 1989 | A |
4976426 | Szabo | Dec 1990 | A |
5186695 | Mangseth | Feb 1993 | A |
5241952 | Ortiz | Sep 1993 | A |
5265589 | Wang | Nov 1993 | A |
5350304 | Fula | Sep 1994 | A |
5435728 | Fula | Jul 1995 | A |
5466213 | Hogan | Nov 1995 | A |
5518475 | Garland | May 1996 | A |
5692517 | Junker | Dec 1997 | A |
5700201 | Bellows | Dec 1997 | A |
5728030 | Hsieh | Mar 1998 | A |
5827072 | Neufer | Oct 1998 | A |
5846086 | Bizzi | Dec 1998 | A |
5871445 | Bucholz | Feb 1999 | A |
5913749 | Harmon | Jun 1999 | A |
5954621 | Joutras | Sep 1999 | A |
5976063 | Joutras | Nov 1999 | A |
5980435 | Joutras | Nov 1999 | A |
5986224 | Kent | Nov 1999 | A |
6162189 | Girone | Dec 2000 | A |
6302037 | Del Frari | Oct 2001 | B1 |
6334778 | Brown | Jan 2002 | B1 |
6413190 | Wood | Jul 2002 | B1 |
6416447 | Harmon | Jul 2002 | B1 |
6454681 | Brassil et al. | Sep 2002 | B1 |
6592315 | Osborne, Jr. | Jul 2003 | B2 |
6613000 | Reinkensmeyer | Sep 2003 | B1 |
6682139 | Bellows | Jan 2004 | B2 |
6685480 | Nishimoto | Feb 2004 | B2 |
6749432 | French | Jun 2004 | B2 |
6817864 | Martinez | Nov 2004 | B1 |
7204814 | Peles | Apr 2007 | B2 |
7252644 | Dewald | Aug 2007 | B2 |
7257237 | Luck et al. | Aug 2007 | B1 |
7394459 | Bathiche | Jul 2008 | B2 |
7401783 | Pryor | Jul 2008 | B2 |
7452336 | Thompson | Nov 2008 | B2 |
7476102 | Maples | Jan 2009 | B2 |
7523984 | Steininger | Apr 2009 | B2 |
7525538 | Bathiche | Apr 2009 | B2 |
7648473 | Peruvingal | Jan 2010 | B1 |
7725175 | Koeneman | May 2010 | B2 |
7856264 | Firlik | Dec 2010 | B2 |
7880717 | Berkley | Feb 2011 | B2 |
7907128 | Bathiche | Mar 2011 | B2 |
8012108 | Bonutti | Sep 2011 | B2 |
9351857 | Carignan | May 2016 | B2 |
9724598 | Burdea | Aug 2017 | B2 |
9868012 | Burdea et al. | Jan 2018 | B2 |
10722784 | Burdea et al. | Jul 2020 | B2 |
20010034014 | Nishimoto et al. | Oct 2001 | A1 |
20020103429 | deCharms | Aug 2002 | A1 |
20020143277 | Wood | Oct 2002 | A1 |
20020169058 | Harmon | Nov 2002 | A1 |
20030028130 | Wunderly | Feb 2003 | A1 |
20030077556 | French et al. | Apr 2003 | A1 |
20030120183 | Simmons | Jun 2003 | A1 |
20040006287 | Epley | Jan 2004 | A1 |
20050065452 | Thompson | Mar 2005 | A1 |
20050091749 | Humbles | May 2005 | A1 |
20050113652 | Stark et al. | May 2005 | A1 |
20050167907 | Curkendall | Aug 2005 | A1 |
20050181347 | Barnes | Aug 2005 | A1 |
20050187071 | Yamashita | Aug 2005 | A1 |
20050216243 | Graham et al. | Sep 2005 | A1 |
20050283053 | deCharms | Dec 2005 | A1 |
20060001296 | Riach | Jan 2006 | A1 |
20060003877 | Harmon | Jan 2006 | A1 |
20060079817 | Dewald et al. | Apr 2006 | A1 |
20060161218 | Danilov | Jul 2006 | A1 |
20060195018 | Guillen | Aug 2006 | A1 |
20060241718 | Tyler | Oct 2006 | A1 |
20060293617 | Einav | Dec 2006 | A1 |
20070003915 | Templeman | Jan 2007 | A1 |
20070043308 | Lee | Feb 2007 | A1 |
20070060445 | Reinkensmeyer | Mar 2007 | A1 |
20070060849 | Bluman | Mar 2007 | A1 |
20070066918 | Dewald | Mar 2007 | A1 |
20070087901 | Brassil et al. | Apr 2007 | A1 |
20070100214 | Steinert | May 2007 | A1 |
20070136093 | Rankin et al. | Jun 2007 | A1 |
20070191141 | Weber | Aug 2007 | A1 |
20070250119 | Tyler | Oct 2007 | A1 |
20070254787 | Matsubara | Nov 2007 | A1 |
20070282228 | Einav | Dec 2007 | A1 |
20080004550 | Einav | Jan 2008 | A1 |
20080009771 | Perry | Jan 2008 | A1 |
20080009772 | Tyler | Jan 2008 | A1 |
20080036737 | Hernandez-Rebollar | Feb 2008 | A1 |
20080061949 | Ferguson et al. | Mar 2008 | A1 |
20080132383 | Einav | Jun 2008 | A1 |
20080139975 | Einav | Jun 2008 | A1 |
20080242521 | Einav | Oct 2008 | A1 |
20080281633 | Burdea | Nov 2008 | A1 |
20080319349 | Zilberman | Dec 2008 | A1 |
20090023122 | Lieberman | Jan 2009 | A1 |
20090062698 | Einav | Mar 2009 | A1 |
20090091229 | Karl | Apr 2009 | A1 |
20090131225 | Burdea | May 2009 | A1 |
20090227888 | Salmi | Sep 2009 | A1 |
20090233769 | Pryor | Sep 2009 | A1 |
20090305207 | Ueshima | Dec 2009 | A1 |
20100016766 | Zhang | Jan 2010 | A1 |
20100068686 | Ueshima | Mar 2010 | A1 |
20100125033 | Harmon | May 2010 | A1 |
20100179453 | Schweighofer | Jul 2010 | A1 |
20100182220 | Bathiche | Jul 2010 | A1 |
20100204616 | Shears | Aug 2010 | A1 |
20100234182 | Hoffman | Sep 2010 | A1 |
20100271315 | Bathiche | Oct 2010 | A1 |
20110112441 | Burdea | May 2011 | A1 |
20110167563 | Humbles | Jul 2011 | A1 |
20110319166 | Bathiche | Dec 2011 | A1 |
20120108909 | Slobounov et al. | May 2012 | A1 |
20120157263 | Sivak et al. | Jun 2012 | A1 |
20130061395 | Karl | Mar 2013 | A1 |
20130109549 | Harmon | May 2013 | A1 |
20150099614 | Tekulve | Apr 2015 | A1 |
20150105222 | Burdea et al. | Apr 2015 | A1 |
20160038075 | Burdea et al. | Feb 2016 | A1 |
20160144229 | Aluru | May 2016 | A1 |
20160166451 | Tekulve | Jun 2016 | A1 |
20180214761 | Olds et al. | Aug 2018 | A1 |
20180228407 | Olds et al. | Aug 2018 | A1 |
Entry |
---|
Office Action dated Aug. 18, 2011, issued in connection with U.S. Appl. No. 12/192,818 (20 pages). |
Office Action dated Apr. 11, 2012, issued in connection with U.S. Appl. No. 12/192,818 (14 pages). |
Office Action dated Jun. 18, 2014, issued in connection with U.S. Appl. No. 12/192,818 (19 pages). |
Office Action dated Jul. 29, 2016, issued in connection with U.S. Appl. No. 14/575,519 (22 pages). |
Office Action dated Feb. 9, 2017, issued in connection with U.S. Appl. No. 14/575,519 (16 pages). |
Applicant-Initiated Interview Summary dated Jul. 7, 2017, issued in connection with U.S. Appl. No. 14/575,519 (3 pages). |
Notice of Allowance dated Sep. 11, 2017, issued in connection with U.S. Appl. No. 14/575,519 (9 pages). |
Ausenda, CD., et al., “Transfer of Motor Skill Learning from the Healthy Hand to the Paretic Hand in Stroke Patients: A Randomized Controlled Trial,” Eur. J. Rehabil Med., 2011; vol. 47(3), pp. 417-425. |
Brooks, CA., et al., “Traumatic Brain Injury: Designing and Implementing a Population-Based Follow-Up System,” Arch Phys Med. Rehabil. 1997; vol. 78(8), pp. 26-30. |
Burdea et al., The Rutgers Arm II Rehabilitation System, Jul. 23, 2008. |
Burdea, GC., et al., “The Rutgers Arm II Rehabilitation System—A Feasibility Study,” IEEE Trans Neural Sys Rehab Eng., vol. 18(5), pp. 505-514. |
Burdea, GC., “Virtual Rehabilitation-Benefits and Challenges,” Methods Inf Med. 2003; vol. 42(5), pp. 519-523. |
Burke, J.W., et al., “Optimising Engagement for Stroke Rehabilitation Using Serious Games,” Vis. Comput, 2009, pp. 1085-1099. |
Cameirao MS, et al., “The Rehabilitation Gaming System: A Review,”. Stud Health Technol Inform. 2009; vol. 145, pp. 65-83. PubMed PMID: 19592787. |
Cameirao, et al., “Neurorehabilitation Using the Virtual Reality Based Rehabilitation Gaming System: Methodology, Design, Psychometrics, Usability and Validation” 2010 (14 pages). |
Cauraugh, JH., et al., “Bilateral Movement Training and Stroke Motor Recovery Progress: A Structured Review and Meta-Analysis,” Hum. Mov. Sci., 2010; vol. 29(5), pp. 853-870. |
Chen et al., Aid Training System for Upper Extremity Rehabilitation, 2001 Proceedings of the 23rd Annual EMBS International Conference, Oct. 25-28, 2001. |
CNet Leap Motion Controller Review: Virtual Reality for Your Hands, Jul. 22, 2013 http://www.cnet.com/products/leap-motion-controller/ (9 pages). |
Colombo G, et al., “Novel tilt table with integrated robotic stepping mechanism: Design principles and clinical application”, Proceedings of the 2005 IEEE, 9th International Conference on Rehabilitation Robotics, 2005, pp. 227-230. |
Colombo R, et al., “Upper limb rehabilitation and evaluation of stroke patients using robot-aided techniques”, Proceedings of the 2005 IEEE, 9th Intemaitonal Conference on Rehabilitation Robotics, 2005, pp. 515-518. |
Dewald et al., Upper-Limb Discoordination in Hemiparetic Stroke: Implications for Neurorehabilitation, Top Stroke Rehabil, 2001; vol. 8(1), pp. 1-12. |
Duncan, PW., et al., “Reliability of the Fugl-Meyer Assessment of Sensorimotor Recovery Following Cerebrovascular Accident,” Phys Ther., 1983; vol. 63(10), pp. 1606-1610. |
House, G et al. “A feasibility study to determine the benefits of upper extremity virtual rehabilitation therapy for coping with chronic pain post-cancer surgery ” The British Journal of Pain, Nov. 2016, vol. 10(4), pp. 186-197. |
House, G et al. “Integrative rehabilitation of stroke survivors in skilled nursing facilities: the design and evaluation of the BrightArm Duo.” Disability and Rehabilitation-Assistive Technology. Nov. 2016. vol. 11(8), pp. 683-694. |
House, G. et al. “Integrative Virtual Reality Therapy Produces Lasting Benefits for a Young Woman Suffering from Chronic Pain and Depression Post Cancer Surgery: A Case Study.” 11th Int Conference on Disability and Virtual Reality Technology, Sep. 2016. (9 pages). |
Kim S.H., et al., “An intelligent tilt table for paralytic patients”, Biomed 06, IFMBE Proceedings, 2007, vol. 15, pp. 615-617. |
Kuttuva M, et al., “The Rutgers Arm: An upper-extremity rehabilitation system in virtual reality”, Fourth Int. Workshop on Virtual Rehabilitation, 2005, pp. 1-8. |
Lin, KC., et al., “The Effects of Bilateral Arm Training on Motor Control and Functional Performance in Chronic Stroke: A Randomized Controlled Study,” Neurorehabil Neural Repair, 2010; vol. 24(1), pp. 42-51. |
Liu, Huajun, et al. “Realtime human motion control with a small number of inertial sensors.” Symposium on Interactive 3D Graphics and Games. ACM, 2011 (8 pages). |
Loureiro et al., Robot Aided Therapy: Challenges Ahead for Upper Limb Stroke Rehabilitation, Proc. 5th Intl. Conf. Disability, Virtual Reality & Assoc. Tech., Oxford, UK, 2004. |
Optale, G., et al., “Controlling Memory Impairment in Elderly Adults Using Virtual Reality Memory Training: A Randomized Controlled Pilot Study,” Neurorehabil Neural Repair, 2010; vol. 24(4), pp. 348-357. |
Rabadi, MH, et al., “Intensive Nutritional Supplements Can Improve Outcomes in Stroke Rehabilitation,” Neurology, 2008, pp. 1856-1861. |
Roger, VL., et al., “Executive Summary: Heart Disease and Stroke Statistics—2012 Update: A Report from the American Heart Association,” Circulation, 2012; vol. 125(1), pp. 188-197. |
Sixense Entertainment, Razer Hydra Master Guide, 2011, pp. 1-11. |
Wang, M., et al., “Neuronal Basis of Age-Related Working Memory Decline,” Nature, 2011; vol. 476(7359), pp. 210-213. |
Wu, CY. et al., “Randomized Trial of Distributed Constraint-Induced Therapy Versus Bilateral Arm Training for the Rehabilitation of Upper-Limb Motor Control and Function After Stroke,” Neurorehabil Neural Repair, 2011, vol. 25(2), pp. 130-139. |
Number | Date | Country | |
---|---|---|---|
20180237284 A1 | Aug 2018 | US |
Number | Date | Country | |
---|---|---|---|
60964861 | Aug 2007 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 12192848 | Aug 2008 | US |
Child | 14575519 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 14575519 | Dec 2014 | US |
Child | 15872964 | US |