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Multi-user smartglove for virtual environment-based rehabilitation

a virtual environment and multi-user technology, applied in the field of stroke hand and finger movement rehabilitation devices and systems, can solve the problems of stroke remaining the leading cause of disability among adults, loss of income and benefits such as health care, and the need for daily living assistance, and the length of physical therapy sessions to be shorter. , to achieve the effect of improving patient motivation and compliance, improving hand function, and improving hand function

Inactive Publication Date: 2012-06-21
NORTHEASTERN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0040]To meet the apparent need, a Multiple-User Virtual Environment for Rehabilitation (MOVER) is disclosed. The MUVER is structured and arranged to enable multiple patients and system users at remote locations to interact with each other in virtual space with activities designed to enhance UE and skilled-hand function. The intended application is for use as a supplemental, in-home rehabilitation tool for people with hand function and coordination disabilities, specifically the type of disability that would result from a stroke. Advantageously, MUVER will be the first inexpensive, VE-based system that patients could purchase, e.g., for home use, that is specifically designed to enhance finger and thumb movement in addition to arm movement.
[0042]The system includes a virtual reality game-type interface that will have “scenes” developed specifically for patients with stroke who need to practice finger, hand, and arm movements. The activities will be functional movements that involve the whole arm as well as hand, but with specific emphasis on hand and finger motions. Feedback features and training routines, based on principles of motor learning, facilitate motor recovery in patients at different levels of motor ability.
[0045]Another unique feature will be feedback lights placed on the back of the hand which will allow the patient to know if they are performing the correct motion while looking at their hand, as opposed to the screen. This will allow patients with impaired perceptual abilities to concentrate on the task while not having to interact as much with a computer interface.

Problems solved by technology

These effects may include an inability to return to work, which can lead to a loss of income and benefits such as health care, and / or the need for daily living assistance.
Thus, stroke remains the leading cause of disability among adults in the United States.
Rising health care costs, however, are causing stroke patients to be discharge from hospital sooner and causing the length of physical therapy sessions to be shorter.
Such a program saves time in transportation and cost for clinical fees.
A key component of poor or incomplete functional recovery remains the impaired use of the stroke patient's hand and fingers.
However, hand rehabilitation devices by others tend to be complex, expensive, and / or not readily available to clinicians.
Some of these products, such as the Cyberglove, are very precise, but too costly for in-home purposes ($10,000 per Cyberglove).
Others are more affordable, e.g., the P5 Glove™ (approximately $100 per glove), but, without modification, do not deliver data accurately enough for the intended application.
Hence there is tension and a necessary trade-off between cost and performance.
Although this arrangement makes it easy to use at home, because of the infrared control receptor, the work space is limited, which is to say that the range within which motion can be detected is limited to only about three or four feet between the glove and the receptor.
Although infrared positioning is accurate and relatively inexpensive it is not the most useful or most accurate method of determining the position of a P5 Glove™.
Indeed, because IR light detection is predicated on beams of light traveling between an emitter and a sensor, obstructions to the beam path limit this capability.
Consequently, because a patient / user's hands move in many directions and at many angles there is no guarantee that emitted IR beams will reach the sensor without being obstructed or reflected.
Although a large library of publicly-available Wii™ games exists, presently, there is no licensed software development kit available to the public.
The device 26 is adapted to sense multiple bends, e.g., finger flexion, but is unable to measure the attitude or orientation of the hand in space or with respect to the patient / user's body.
None of these devices, however, meets the need for a low-cost, simple, UE motor training device that patients could use easily in their homes, and, potentially, use with other patients over a network, the Internet, and the like.
Those that do exist are prohibitively expensive, and most are not commercially available.
Moreover, none is suitable for independent home use by patients and, furthermore, none provides for multiple patient / user interaction over the Internet.

Method used

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  • Multi-user smartglove for virtual environment-based rehabilitation
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Examples

Experimental program
Comparison scheme
Effect test

embodiment 70

[0120]Referring to FIG. 11, a first input device embodiment 70 includes bend sensors 71, 72, and 73, which are disposed on the back of the input device 92 on finger portions that are in registration with the patient / user's index, middle, and ring fingers. To reduce weight and cost, a sensor on the pinky finger, whose movement generally follows that of the adjacent ring finger very closely, is optional. As shown in FIG. 12, a bend sensor 74 can also be disposed on the back of the input device 92 in registration with the thumb and a bend sensor 75 can be disposed on the input device 92 at the base of the palm of the hand. The latter bend sensor 75 is adapted to bend as the heel of the thumb crosses the palm to oppose one or more of the fingers, e.g., during a pinch motion.

[0121]Referring to FIG. 13, a two-dimensional bend sensor 77, which is disposed on the back of the input device 92 in registration with the wrist and oriented along the axis of the ulna, is provided to capture wrist ...

embodiment 60

[0124]Referring to FIG. 15, a second glove embodiment 60 is shown. The glove 60 includes bend sensors 61 and 62 that are disposed, respectively, on the metacarpalphalangeal (MCP) joint and the proximal interphalangeal (PIP) joint of the thumb and of each finger, including the pinky finger. The MCP and PIP bend sensors 61 and 62 are adapted to record arcuate bend data associated with the motion or movement of each finger. A third bend sensor 63 is disposed on the back of the hand at the base of the thumb. For measuring wrist flexion / extension, a bi-directional bend sensor (not shown) is disposed to extend across the wrist on the palm side of the glove 60.

[0125]Optionally, a switch pad 64, e.g., a capacitive touch sensor, can be disposed on or within the tip of the thumb portion of the glove 60 for providing and recording pinch data. In operation, when the tip of one or more of the glove fingers contacts, i.e., activates, the switch pad 64, the controller is adapted to use the touch d...

embodiment 50

[0128]A Hall effect glove embodiment 50 is shown in FIGS. 17-19. Single bend sensors covering both the MCP and PIP joints 51 are disposed on each of the finger portions of the glove 50. A plurality, e.g., three, bend sensors 52-54 are disposed on the thumb portion of the glove 50. A bend sensor 52 is disposed between the thumb portion and the index finger portion of the glove 50 to track relative movement between the fingers and the thumb, another bend sensor 53 is disposed along the axis of the thumb portion to track movement of the thumb, and a third bend sensor 54 is disposed at the base of the thumb portion of the glove 50 to measure roll of the wrist joint as the patient / user's thumb reaches across the palm.

[0129]To measure finger pinch, on the palm side of the glove 50, Hall effect sensors 56 are disposed on the tips of each glove finger and a magnetic field generating device 57, e.g., a magnet, is disposed at or near the tip of the glove thumb. When the magnetic field from th...

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PUM

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Abstract

A low-cost, virtual environment, rehabilitation system and a glove input device for patients suffering from stroke or other neurological impairments for independent, in-home use, to improve upper extremity motor function, including hand and finger control. The system includes a low-cost input device for tracking arm, hand, and finger movement; an open source gaming engine; and a processing device. The system is controllable to provide four types of multiple patient / user interactions: competition, cooperation, counter-operative, and mixed.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]Priority to U.S. provisional patent application No. 61 / 145,825 entitled “Multiple User Virtual Environment for Rehabilitation (MUVER)”, which was filed on. Jan. 20, 2009, and U.S. provisional patent application No. 61 / 266,543 entitled “Low Cost Smart Glove for Virtual Reality Based Rehabilitation”, which was filed on Dec. 4, 2009 is claimed.STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT[0002]N / ABACKGROUND OF THE INVENTION[0003]1. Field of the Invention[0004]A device and system for rehabilitating hand and finger movements of stroke patients with neurological or orthopedic problems is disclosed, and, more specifically, a device and system that are structured and arranged to capture hand and wrist motion for the purpose of guiding a patient / user through rehabilitation exercises.[0005]2. Summary of the Related Art[0006]Every year, between 700,000 and 800,000 Americans suffer a new or a recurring stroke in which a sudden varia...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): A63B24/00G16H20/30G16H50/50G16Z99/00
CPCA61H1/0285G06F3/014A61H2201/5058A61B5/0022G06F3/011A61B2505/09A63B2225/20A63F2300/1012A63F2300/105A61B5/7475A61B5/1114A61B5/6806A63B23/08A63B23/16A63B2022/0094A63B2024/0096A63B2071/0638A63B2071/0655A63B2220/10A63B2220/16A63B2220/40A63B2220/51A63B2220/805A63B2220/89A63B2225/50A63B2225/54G09B19/003A63F13/212G16H40/63G16H50/50G16H20/30G16Z99/00
Inventor SIVAK, MARKHOLDEN, MAUREEN K.MAVROIDIS, CONSTANTINOSBAJPAI, AVIBINTZ, CAITLYNCHRISOS, JASONCLARK, ANDREWLENTZ, DREW
Owner NORTHEASTERN UNIV
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