TY - JOUR
T1 - Automating provision of feedback to stroke patients with and without information on compensatory movements
T2 - A pilot study
AU - Fruchter, Daphne
AU - Feingold Polak, Ronit
AU - Berman, Sigal
AU - Levy-Tzedek, Shelly
N1 - Funding Information:
The research was partially supported by the Helmsley Charitable Trust through the Agricultural, Biological and Cognitive Robotics Initiative, by the Marcus Endowment Fund and the Paul Ivanier Center for Production Management, all at the Ben-Gurion University of the Negev. Financial support was provided by the Rosetrees Trust, the Borten Family Foundation, the Robert Bergida bequest, and the Consolidated Anti-Aging Foundation. This research was also supported by the Israeli Ministry of Health, by the National Insurance Institute of Israel, the Negev Lab in Adi-Negev, and received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie grant agreement No: 754340.
Publisher Copyright:
Copyright © 2022 Fruchter, Feingold Polak, Berman and Levy-Tzedek.
PY - 2022/8/8
Y1 - 2022/8/8
N2 - Providing effective feedback to patients in a rehabilitation training program is essential. As technologies are being developed to support patient training, they need to be able to provide the users with feedback on their performance. As there are various aspects on which feedback can be given (e.g., task success and presence of compensatory movements), it is important to ensure that users are not overwhelmed by too much information given too frequently by the assistive technology. We created a rule-based set of guidelines for the desired hierarchy, timing, and content of feedback to be used when stroke patients train with an upper-limb exercise platform which we developed. The feedback applies to both success on task completion and to the execution of compensatory movements, and is based on input collected from clinicians in a previous study. We recruited 11 stroke patients 1–72 months from injury onset. Ten participants completed the training; each trained with the rehabilitation platform in two configurations: with motor feedback (MF) and with no motor feedback (control condition) (CT). The two conditions were identical, except for the feedback content provided: in both conditions they received feedback on task success; in the MF condition they also received feedback on making undesired compensatory movements during the task. Participants preferred the configuration that provided feedback on both task success and quality of movement (MF). This pilot experiment demonstrates the feasibility of a system providing both task-success and movement-quality feedback to patients based on a decision tree which we developed.
AB - Providing effective feedback to patients in a rehabilitation training program is essential. As technologies are being developed to support patient training, they need to be able to provide the users with feedback on their performance. As there are various aspects on which feedback can be given (e.g., task success and presence of compensatory movements), it is important to ensure that users are not overwhelmed by too much information given too frequently by the assistive technology. We created a rule-based set of guidelines for the desired hierarchy, timing, and content of feedback to be used when stroke patients train with an upper-limb exercise platform which we developed. The feedback applies to both success on task completion and to the execution of compensatory movements, and is based on input collected from clinicians in a previous study. We recruited 11 stroke patients 1–72 months from injury onset. Ten participants completed the training; each trained with the rehabilitation platform in two configurations: with motor feedback (MF) and with no motor feedback (control condition) (CT). The two conditions were identical, except for the feedback content provided: in both conditions they received feedback on task success; in the MF condition they also received feedback on making undesired compensatory movements during the task. Participants preferred the configuration that provided feedback on both task success and quality of movement (MF). This pilot experiment demonstrates the feasibility of a system providing both task-success and movement-quality feedback to patients based on a decision tree which we developed.
KW - compensatory movements
KW - exergames
KW - human-computer interface
KW - human-machine interface
KW - patient-centered design
KW - serious games
KW - stroke
KW - user experience
UR - http://www.scopus.com/inward/record.url?scp=85136474600&partnerID=8YFLogxK
U2 - 10.3389/fnhum.2022.918804
DO - 10.3389/fnhum.2022.918804
M3 - Article
C2 - 36003313
AN - SCOPUS:85136474600
SN - 1662-5161
VL - 16
JO - Frontiers in Human Neuroscience
JF - Frontiers in Human Neuroscience
M1 - 918804
ER -