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Clinometric Gait Analysis Using Smart Insoles in Patients With Hemiplegia After Stroke: Pilot Study

Clinometric Gait Analysis Using Smart Insoles in Patients With Hemiplegia After Stroke: Pilot Study

We investigated whether in-depth gait analysis using smart insole technology reflects the functional status of patients with hemiplegia due to stroke. To investigate the reliability of gait analysis using the smart insole device, healthy control subjects wore the insoles in their shoes and completed a Timed Up and Go (TUG) test. The spatiotemporal gait parameters were compared with the values calculated by manually measuring the TUG time and step count.

Minseok Seo, Myung-Jun Shin, Tae Sung Park, Jong-Hwan Park

JMIR Mhealth Uhealth 2020;8(9):e22208

Evaluating the Effectiveness and Safety of the Electroencephalogram-Based Brain-Machine Interface Rehabilitation System for Patients With Severe Hemiparetic Stroke: Protocol for a Randomized Controlled Trial (BEST-BRAIN Trial)

Evaluating the Effectiveness and Safety of the Electroencephalogram-Based Brain-Machine Interface Rehabilitation System for Patients With Severe Hemiparetic Stroke: Protocol for a Randomized Controlled Trial (BEST-BRAIN Trial)

Although recent improvements in rehabilitation have succeeded in promoting functional recovery from poststroke hemiplegia, no effective interventions have been established for finger motor function [7]. The standardized mean difference in motor outcomes in the above-mentioned interventions is all around zero without statistical significance. Therefore, an important clinical challenge is development of a rehabilitation method for recovery of finger function.

Katsuhiro Mizuno, Takayuki Abe, Junichi Ushiba, Michiyuki Kawakami, Tomomi Ohwa, Kazuto Hagimura, Miho Ogura, Kohei Okuyama, Toshiyuki Fujiwara, Meigen Liu

JMIR Res Protoc 2018;7(12):e12339