Integration of Augmented Reality and Assistive Devices for Post-Stroke Hand Opening Rehabilitation

Impairment of hand function is prevalent among stroke survivors, motivating the search for effective rehabilitation therapy. Recent studies have suggested that for upper extremity functional recovery, repetitive training with virtual reality is helpful. Repetitive training can be facilitated with assistance from mechanical devices. Thus, we have developed a training environment that integrates augmented reality (AR) with assistive devices for post-stroke hand rehabilitation. The AR element of our environment utilizes head mounted display and virtual objects for reach-and-grasp task training. The assistive device consists of either a body-powered orthosis (BPO) or a pneumatic-powered device (PPD), both of which are incorporated into gloves. This environment can be easily set up and calibrated, is customizable for individual users, and requires active user participation. Additionally, it can be used with both real and virtual objects, as desired. We are currently conducting pilot case studies to assess ease of use and efficacy. At present, one stroke survivor from each of the three training conditions, AR-with-BPO, AR-with-PPD and AR-only (acting as the control), has completed the 6-week training paradigm. Preliminary findings suggest user acceptance of the technology and some potential for beneficial effects

[1]  L. Sperling,et al.  Grip function of the healthy hand in a standardized hand function test. A study of the Rancho Los Amigos test. , 1977, Scandinavian journal of rehabilitation medicine.

[2]  D. Wade,et al.  Loss of arm function after stroke: measurement, frequency, and recovery. , 1986, International rehabilitation medicine.

[3]  C. A. Trombly,et al.  Occupational Therapy for Physical Dysfunction , 1989 .

[4]  P. Stratford,et al.  Measuring Physical Impairment and Disability With the Chedoke‐McMaster Stroke Assessment , 1993, Stroke.

[5]  R. Hébert,et al.  Validation of the Box and Block Test as a measure of dexterity of elderly people: reliability, validity, and norms studies. , 1994, Archives of physical medicine and rehabilitation.

[6]  M. Gulliford,et al.  Health Care Needs Assessment: The Epidemiologically Based Needs Assessment Reviews , 1994 .

[7]  A. Stevens,et al.  Health Care Needs Assessment: The Epidemiologically Based Needs Assessment Reviews , 1996 .

[8]  E. Taub,et al.  Constraint-induced movement therapy: A new approach to treatment in physical rehabilitation. , 1998 .

[9]  H. F. Machiel van der Loos,et al.  Development of robots for rehabilitation therapy: the Palo Alto VA/Stanford experience. , 2000, Journal of rehabilitation research and development.

[10]  B. Bhakta,et al.  Impact of botulinum toxin type A on disability and carer burden due to arm spasticity after stroke: a randomised double blind placebo controlled trial , 2000, Journal of neurology, neurosurgery, and psychiatry.

[11]  W. Rymer,et al.  Impairment of voluntary control of finger motion following stroke: Role of inappropriate muscle coactivation , 2001, Muscle & nerve.

[12]  W. Rymer,et al.  Comparison of Robot-Assisted Reaching to Free Reaching in Promoting Recovery From Chronic Stroke , 2001 .

[13]  S. Adamovich,et al.  Virtual reality-augmented rehabilitation for patients following stroke. , 2002, Physical therapy.

[14]  W. Rymer,et al.  Extrinsic flexor muscles generate concurrent flexion of all three finger joints. , 2002, Journal of biomechanics.

[15]  E. G. Cruz,et al.  Stereotypical fingertip trajectories during grasp. , 2003, Journal of neurophysiology.

[16]  W. Rymer,et al.  Relative contributions of neural mechanisms versus muscle mechanics in promoting finger extension deficits following stroke , 2003, Muscle & nerve.

[17]  G. Burdea,et al.  Low-cost Virtual Rehabilitation of the Hand for Patients Post-Stroke , 2006, 2006 International Workshop on Virtual Rehabilitation.