4.7 Article

Development and evaluation of a novel flex sensor-based glenohumeral subluxation degree assessment for wearable shoulder sling

期刊

SENSORS AND ACTUATORS A-PHYSICAL
卷 337, 期 -, 页码 -

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.sna.2022.113405

关键词

Flex sensor; Glenohumeral subluxation assessment; Stroke rehabilitation; Wearable shoulder sling

资金

  1. National Natural Science Foundation of China [52075177]
  2. Joint Fund of the Ministry of Education for Equipment Pre-Research [6141A02033124]
  3. Research Foundation of Guangdong Province [2019A050505001, 2018KZDXM002]
  4. Guangzhou Research Foun-dation [202002030324, 201903010028]
  5. Zhongshan Research Foundation [2020B2020]
  6. Shenzhen Institute of Artificial Intelligence and Robotics for Society [AC01202005011]

向作者/读者索取更多资源

A GHS assessment method based on a flex sensor was developed for stroke patients, and it showed strong correlation and good reliability compared to the gold-standard radiographic assessment.
Glenohumeral subluxation (GHS) is reported in as many as 81% of patients with stroke. To ensure that the glenohumeral joint head is in the socket, an orthosis is required to automatically adjust the degree of orthosis according to the degree of GHS. However, there is currently no wearable method for assessing the degree of GHS. This study aims to develop a GHS assessment method for patients with stroke that has the potential to be integrated into a wearable shoulder sling. To that end, we developed a GHS assessment method for patients with stroke based on a flex sensor. Seventeen patients with stroke in a diverse degree of GHS were recruited for the study. The GHS degree of patients was assessed by the flex sensor and gold-standard radiographic assessment. The GHS degree measurement by flex sensor (AGHS) and radiographic assessment (AGTD) has strongly correlated (r = 0.92,p < 0.01). The relationship of AGTD and AGHS is linear according to an interpolating curve with an equation: AGTD = 1.091AGHS-0.702 (R2 = 0.84, RMSE = 1.92mm). The method has excellent reliability with R = 0.87, CI = 95% for assessment of GHS degrees. The proposed method demonstrates good performance, is wearable, easy to use, and allows automatic measurements, so as to be a valuable method to assessment of GHS.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据