Stroke Patients’ Acceptance of a Smart Garment for Supporting Upper Extremity Rehabilitation

October 31, 2018

Qi WangAnnick TimmermansWei ChenJie JiaLi DingLi XiongJifeng RongPanos Markopoulos

Early Access Note:
Early Access articles are new content made available in advance of the final electronic or print versions and result from IEEE’s Preprint or Rapid Post processes. Preprint articles are peer-reviewed but not fully edited. Rapid Post articles are peer-reviewed and edited but not paginated. Both these types of Early Access articles are fully citable from the moment they appear in IEEE Xplore.

Abstract

Fig.2 (a). Back view of the garment; (b) Adjustable design; (c) Sensor embedded in the strip.
Objective: The objective is to evaluate to which extent that Zishi a garment equipped with sensors that can support posture monitoring can be used in upper extremity rehabilitation training of stroke patients. Method: 17 stroke survivors (mean age: 55 years old, SD =13.5) were recruited in three hospitals in Shanghai. Patients performed 4 tasks (analytical shoulder flexion, functional shoulder flexion placing a cooking pot, analytical flexion in the scapular plane, functional flexion in the scapular plane placing a bottle of water) with guided feedback on a tablet that was provided through inertial sensors embedded in the Zishi system at the scapula and the thoracic spine region. After performing the training tasks patients completed four questionnaires for assessing their motivation, their acceptance of the system, its credibility and usability. Results: The study participants were highly motivated to train with Zishi and the system was rated high usability, while the subjects had moderate confidence with technology supported training in comparison to the training with therapists. Conclusions: Patients respond positively to using Zishi to support rehabilitation training in a clinical setting. Further developments need to address more on engaging and adaptive feedback. Clinical Impact: This study paves the way for larger scale effectiveness studies.

READ FULL ARTICLE ON IEEE XPLORE

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