TY - JOUR
T1 - Internet of Things (IoT) Enables Robot-Assisted Therapy as a Home Program for Training Upper Limb Functions in Chronic Stroke
T2 - A Randomized Control Crossover Study
AU - Kuo, Li Chieh
AU - Yang, Kang Chin
AU - Lin, Yu Ching
AU - Lin, Yu Chen
AU - Yeh, Chien Hsien
AU - Su, Fong Chin
AU - Hsu, Hsiu Yun
N1 - Funding Information:
The work was supported by grants from the Ministry of Science and Technology (MOST) of Taiwan (Grant number: 108-2745-8-006-009) and from the National Cheng Kung University Hospital (Grant number: NCKUH-11008003). This work was also financially supported by the Medical Device Innovation Center, National Cheng Kung University, from the Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan.
Publisher Copyright:
© 2022 American Congress of Rehabilitation Medicine
PY - 2023/3
Y1 - 2023/3
N2 - Objective: To compare the effects of using an Internet of things (IoT)-assisted tenodesis-induced-grip exoskeleton robot (TIGER) and task-specific motor training (TSMT) as home programs for the upper-limb (UL) functions of patients with chronic stroke to overturn conventional treatment modes for stroke rehabilitation. Design: A randomized 2-period crossover study. Setting: A university hospital. Participants: Eighteen chronic stroke patients were recruited and randomized to receive either the IoT-assisted TIGER first or TSMT first at the beginning of the experiment (N=18). Intervention: In addition to the standard hospital-based therapy, participants were allocated to receive a 30-minute home-based, self-administered program of either IoT-assisted TIGER first or TSMT first twice daily for 4 weeks, with the order of both treatments reversed after a 12-week washout period. The exercise mode of the TIGER training included continuous passive motion and the functional mode of gripping pegs. The TSMT involved various movement components of the wrist and hand. Main Outcome Measures: The outcome measures included the box and block test (BBT), the Fugl-Meyer assessment for upper extremity (FMA-UE), the motor activity log, the Semmes-Weinstein Monofilament test, the range of motion (ROM) of the wrist joint, and the modified Ashworth scale. Results: Significant treatment-by-time interaction effects emerged in the results for the BBT (F(1.31)=5.212 and P=.022), the FMA-UE (F(1.31)=6.807 and P=.042), and the ROM of the wrist extension (F(1.31)=8.618 and P=.009). The participants who trained at home with the IoT-assisted TIGER showed more improvement of their UL functions. Conclusions: The IoT-assisted TIGER training has the potential for restoring the UL functions of stroke patients.
AB - Objective: To compare the effects of using an Internet of things (IoT)-assisted tenodesis-induced-grip exoskeleton robot (TIGER) and task-specific motor training (TSMT) as home programs for the upper-limb (UL) functions of patients with chronic stroke to overturn conventional treatment modes for stroke rehabilitation. Design: A randomized 2-period crossover study. Setting: A university hospital. Participants: Eighteen chronic stroke patients were recruited and randomized to receive either the IoT-assisted TIGER first or TSMT first at the beginning of the experiment (N=18). Intervention: In addition to the standard hospital-based therapy, participants were allocated to receive a 30-minute home-based, self-administered program of either IoT-assisted TIGER first or TSMT first twice daily for 4 weeks, with the order of both treatments reversed after a 12-week washout period. The exercise mode of the TIGER training included continuous passive motion and the functional mode of gripping pegs. The TSMT involved various movement components of the wrist and hand. Main Outcome Measures: The outcome measures included the box and block test (BBT), the Fugl-Meyer assessment for upper extremity (FMA-UE), the motor activity log, the Semmes-Weinstein Monofilament test, the range of motion (ROM) of the wrist joint, and the modified Ashworth scale. Results: Significant treatment-by-time interaction effects emerged in the results for the BBT (F(1.31)=5.212 and P=.022), the FMA-UE (F(1.31)=6.807 and P=.042), and the ROM of the wrist extension (F(1.31)=8.618 and P=.009). The participants who trained at home with the IoT-assisted TIGER showed more improvement of their UL functions. Conclusions: The IoT-assisted TIGER training has the potential for restoring the UL functions of stroke patients.
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U2 - 10.1016/j.apmr.2022.08.976
DO - 10.1016/j.apmr.2022.08.976
M3 - Article
C2 - 36122608
AN - SCOPUS:85140717600
SN - 0003-9993
VL - 104
SP - 363
EP - 371
JO - Archives of Physical Medicine and Rehabilitation
JF - Archives of Physical Medicine and Rehabilitation
IS - 3
ER -