» Articles » PMID: 20667083

Development and Pilot Testing of HEXORR: Hand EXOskeleton Rehabilitation Robot

Overview
Publisher Biomed Central
Date 2010 Jul 30
PMID 20667083
Citations 33
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Following acute therapeutic interventions, the majority of stroke survivors are left with a poorly functioning hemiparetic hand. Rehabilitation robotics has shown promise in providing patients with intensive therapy leading to functional gains. Because of the hand's crucial role in performing activities of daily living, attention to hand therapy has recently increased.

Methods: This paper introduces a newly developed Hand Exoskeleton Rehabilitation Robot (HEXORR). This device has been designed to provide full range of motion (ROM) for all of the hand's digits. The thumb actuator allows for variable thumb plane of motion to incorporate different degrees of extension/flexion and abduction/adduction. Compensation algorithms have been developed to improve the exoskeleton's backdrivability by counteracting gravity, stiction and kinetic friction. We have also designed a force assistance mode that provides extension assistance based on each individual's needs. A pilot study was conducted on 9 unimpaired and 5 chronic stroke subjects to investigate the device's ability to allow physiologically accurate hand movements throughout the full ROM. The study also tested the efficacy of the force assistance mode with the goal of increasing stroke subjects' active ROM while still requiring active extension torque on the part of the subject.

Results: For 12 of the hand digits'15 joints in neurologically normal subjects, there were no significant ROM differences (P > 0.05) between active movements performed inside and outside of HEXORR. Interjoint coordination was examined in the 1st and 3rd digits, and no differences were found between inside and outside of the device (P > 0.05). Stroke subjects were capable of performing free hand movements inside of the exoskeleton and the force assistance mode was successful in increasing active ROM by 43 +/- 5% (P < 0.001) and 24 +/- 6% (P = 0.041) for the fingers and thumb, respectively.

Conclusions: Our pilot study shows that this device is capable of moving the hand's digits through nearly the entire ROM with physiologically accurate trajectories. Stroke subjects received the device intervention well and device impedance was minimized so that subjects could freely extend and flex their digits inside of HEXORR. Our active force-assisted condition was successful in increasing the subjects' ROM while promoting active participation.

Citing Articles

An Intelligent Hand-Assisted Diagnosis System Based on Information Fusion.

Li H, Zhou Y Sensors (Basel). 2024; 24(14).

PMID: 39066141 PMC: 11281165. DOI: 10.3390/s24144745.


Will Your Next Therapist Be a Robot?-A Review of the Advancements in Robotic Upper Extremity Rehabilitation.

Fareh R, Elsabe A, Baziyad M, Kawser T, Brahmi B, Rahman M Sensors (Basel). 2023; 23(11).

PMID: 37299781 PMC: 10255591. DOI: 10.3390/s23115054.


Design and Development of a Spherical 5-Bar Thumb Exoskeleton Mechanism for Poststroke Rehabilitation.

Ketkar V, Wolbrecht E, Perry J, Farrens A J Med Device. 2023; 17(2):021002.

PMID: 37152413 PMC: 10158975. DOI: 10.1115/1.4056864.


Two-Dof Upper Limb Rehabilitation Robot Driven by Straight Fibers Pneumatic Muscles.

Durante F, Raparelli T, Beomonte Zobel P Bioengineering (Basel). 2022; 9(8).

PMID: 36004902 PMC: 9405197. DOI: 10.3390/bioengineering9080377.


Hand Rehabilitation Devices: A Comprehensive Systematic Review.

Kabir R, Haque Sunny M, Ahmed H, Rahman M Micromachines (Basel). 2022; 13(7).

PMID: 35888850 PMC: 9325203. DOI: 10.3390/mi13071033.


References
1.
Kwakkel G, Kollen B, van der Grond J, Prevo A . Probability of regaining dexterity in the flaccid upper limb: impact of severity of paresis and time since onset in acute stroke. Stroke. 2003; 34(9):2181-6. DOI: 10.1161/01.STR.0000087172.16305.CD. View

2.
Rathore S, Hinn A, Cooper L, Tyroler H, Rosamond W . Characterization of incident stroke signs and symptoms: findings from the atherosclerosis risk in communities study. Stroke. 2002; 33(11):2718-21. DOI: 10.1161/01.str.0000035286.87503.31. View

3.
Waldvogel D, van Gelderen P, Ishii K, Hallett M . The effect of movement amplitude on activation in functional magnetic resonance imaging studies. J Cereb Blood Flow Metab. 1999; 19(11):1209-12. DOI: 10.1097/00004647-199911000-00004. View

4.
Reinkensmeyer D, Kahn L, Averbuch M, Schmit B, Rymer W . Understanding and treating arm movement impairment after chronic brain injury: progress with the ARM guide. J Rehabil Res Dev. 2001; 37(6):653-62. View

5.
Kamper D, Harvey R, Suresh S, Rymer W . Relative contributions of neural mechanisms versus muscle mechanics in promoting finger extension deficits following stroke. Muscle Nerve. 2003; 28(3):309-18. DOI: 10.1002/mus.10443. View