Using Body-Worn Sensors for Preliminary Rehabilitation Assessment in Stroke Victims With Gait Impairment
Improving health is an important driving factor of sensor technology applications. To meet the demands of precision medicine for medical rehabilitation and elderly guardianship, using wearable sensors to get kinematics, kinetics, and biochemical information has become an interdisciplinary research h...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8318567/ |
| _version_ | 1818415024777986048 |
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| author | Sen Qiu Zhelong Wang Hongyu Zhao Long Liu Yongmei Jiang |
| author_facet | Sen Qiu Zhelong Wang Hongyu Zhao Long Liu Yongmei Jiang |
| author_sort | Sen Qiu |
| collection | DOAJ |
| description | Improving health is an important driving factor of sensor technology applications. To meet the demands of precision medicine for medical rehabilitation and elderly guardianship, using wearable sensors to get kinematics, kinetics, and biochemical information has become an interdisciplinary research hotspot recently. This paper proposed a low-cost, intelligent, and lightweight wearable platform for rehabilitation assessment in stroke victims with gait impairment. The paper starts from the sensor physical properties and human physiology structure, and aims to solve sensor drift problem by zero velocity update algorithm. A complementary filter based on proportional integral controller was adopted to eliminate computational errors. Preliminary clinical gait experiments results showed that the protocol we have designed according to the proposed guidelines had demonstrated to be operatively simple and efficient compared with existing methods. The expectation of this case study is to develop a dedicated tool for supporting diagnosis and rehabilitation in the hospital. |
| first_indexed | 2024-12-14T11:28:25Z |
| format | Article |
| id | doaj.art-ec17abe3bcae4cd3bd360ff23e03e41a |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T11:28:25Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-ec17abe3bcae4cd3bd360ff23e03e41a2022-12-21T23:03:26ZengIEEEIEEE Access2169-35362018-01-016312493125810.1109/ACCESS.2018.28168168318567Using Body-Worn Sensors for Preliminary Rehabilitation Assessment in Stroke Victims With Gait ImpairmentSen Qiu0https://orcid.org/0000-0001-6846-546XZhelong Wang1Hongyu Zhao2Long Liu3Yongmei Jiang4School of Control Science and Engineering, Dalian University of Technology, Dalian, ChinaSchool of Control Science and Engineering, Dalian University of Technology, Dalian, ChinaSchool of Control Science and Engineering, Dalian University of Technology, Dalian, ChinaSchool of Control Science and Engineering, Dalian University of Technology, Dalian, ChinaSecond Affiliated Hospital of Dalian Medical University, Dalian, ChinaImproving health is an important driving factor of sensor technology applications. To meet the demands of precision medicine for medical rehabilitation and elderly guardianship, using wearable sensors to get kinematics, kinetics, and biochemical information has become an interdisciplinary research hotspot recently. This paper proposed a low-cost, intelligent, and lightweight wearable platform for rehabilitation assessment in stroke victims with gait impairment. The paper starts from the sensor physical properties and human physiology structure, and aims to solve sensor drift problem by zero velocity update algorithm. A complementary filter based on proportional integral controller was adopted to eliminate computational errors. Preliminary clinical gait experiments results showed that the protocol we have designed according to the proposed guidelines had demonstrated to be operatively simple and efficient compared with existing methods. The expectation of this case study is to develop a dedicated tool for supporting diagnosis and rehabilitation in the hospital.https://ieeexplore.ieee.org/document/8318567/Body-worn sensorsrehabilitation assessmentprecision medicinestroke victimsgait impairment |
| spellingShingle | Sen Qiu Zhelong Wang Hongyu Zhao Long Liu Yongmei Jiang Using Body-Worn Sensors for Preliminary Rehabilitation Assessment in Stroke Victims With Gait Impairment IEEE Access Body-worn sensors rehabilitation assessment precision medicine stroke victims gait impairment |
| title | Using Body-Worn Sensors for Preliminary Rehabilitation Assessment in Stroke Victims With Gait Impairment |
| title_full | Using Body-Worn Sensors for Preliminary Rehabilitation Assessment in Stroke Victims With Gait Impairment |
| title_fullStr | Using Body-Worn Sensors for Preliminary Rehabilitation Assessment in Stroke Victims With Gait Impairment |
| title_full_unstemmed | Using Body-Worn Sensors for Preliminary Rehabilitation Assessment in Stroke Victims With Gait Impairment |
| title_short | Using Body-Worn Sensors for Preliminary Rehabilitation Assessment in Stroke Victims With Gait Impairment |
| title_sort | using body worn sensors for preliminary rehabilitation assessment in stroke victims with gait impairment |
| topic | Body-worn sensors rehabilitation assessment precision medicine stroke victims gait impairment |
| url | https://ieeexplore.ieee.org/document/8318567/ |
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