The application of data gloves in the evaluation of patients with hand injuries
10.3760/cma.j.issn.0254-1424.2018.12.011
- VernacularTitle:数据手套在手外伤患者评估中的应用初探
- Author:
Peisong XIA
1
;
Jianhua LI
;
Liang ZHONG
;
Yinge CHEN
;
Yuxin PENG
Author Information
1. 浙江大学体育科学与技术研究所
- Keywords:
Data gloves;
Inertial sensors;
Hand injury
- From:
Chinese Journal of Physical Medicine and Rehabilitation
2018;40(12):919-922
- CountryChina
- Language:Chinese
-
Abstract:
Objective To develop a data glove evaluation system to assist rehabilitation physicians and therapists in assessing the degree of rehabilitation of hand-wounded patients. Methods A data glove containing 136-axis inertial sensors was designed and produced. It was tested on 10 healthy subjects and 3 hand trauma pa-tients admitted to the Department of Rehabilitation Medicine at Run Run Shaw Hospital. The glove transmitted ac-celeration and angular velocity components in the X, Y and Z directions to a computer terminal, allowing the ben-ding angles of the subject′s finger joints to be calculated. Traditional protractor measurements were used to verify to what extent the data glove accurately reflected the hand and joint activity. Results Compared with the traditional protractor measurement method, the data glove quickly gave accurate maximum bending angles both in healthy and hand-wounded subjects . Such data can facilitate the rehabilitation of hand injuries. Conclusions The data glove produced in this study can effectively assist rehabilitation doctors and therapists in assessing the recovery of hand-injured patients.
