Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Shao Li Han"'
Publikováno v:
Sensors, Vol 24, Iss 5, p 1519 (2024)
The study aims to construct an inertial measuring system for the application of amputee subjects wearing a prosthesis. A new computation scheme to process inertial data by installing seven wireless inertial sensors on the lower limbs was implemented
Externí odkaz:
https://doaj.org/article/bd740972521b496993c0f5373a3697a6
Publikováno v:
Sensor Review. 42:316-325
Purpose This study aims to leverage inertial sensors via a walk test to associate kinematic variables with functional assessment results among walkable subjects with chronic stroke. Design/methodology/approach Adults with first-ever stroke survivors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d853c91537efb083ae4efa8523b5387c
https://doi.org/10.1108/sr-10-2021-0357
https://doi.org/10.1108/sr-10-2021-0357
Publikováno v:
輔仁醫學期刊. 20:015-020
臨床上中風病患姿勢控制評估量表及柏格氏平衡量表常被使用於評估中風病患的平衡功能，柏格氏平衡量表因為地板效應，並不適合用來評估急性中風或嚴重失能的中風病患。本研究聚焦於
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fc3ff6e69d5d95d1d69c2e72abc96b6
https://doi.org/10.53106/181020932022032001002
https://doi.org/10.53106/181020932022032001002
Publikováno v:
Sensors, Vol 20, Iss 19, p 5588 (2020)
We study the foot plantar sensor placement by a deep reinforcement learning algorithm without using any prior knowledge of the foot anatomical area. To apply a reinforcement learning algorithm, we propose a sensor placement environment and reward sys
Externí odkaz:
https://doaj.org/article/284d2214a16c4725ab771a4787ad2e76
Publikováno v:
The journal of nursing research : JNR. 30(5)
Population aging has caused a rise in the institutionalization, disability, and mortality rates of older adults worldwide. Older adults are able to engage in muscle training. Elastic band exercises can safely and effectively improve the upper and low
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::7e21951e6f4f20e03fb845b47681256c
https://pubmed.ncbi.nlm.nih.gov/36018730
https://pubmed.ncbi.nlm.nih.gov/36018730
Publikováno v:
Sensors, Vol 20, Iss 5588, p 5588 (2020)
Sensors (Basel, Switzerland)
Sensors (Basel, Switzerland)
We study the foot plantar sensor placement by a deep reinforcement learning algorithm without using any prior knowledge of the foot anatomical area. To apply a reinforcement learning algorithm, we propose a sensor placement environment and reward sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab70bb797e6c75cbd69b967cdbc1d2f4
https://www.mdpi.com/1424-8220/20/19/5588
https://www.mdpi.com/1424-8220/20/19/5588
Publikováno v:
Journal of Physics: Conference Series. 1583:012010
The use of inertial measurement units associated with various algorithms has been proposed and developed to evaluate functional abilities and kinematics for stroke patients. In previous research, complex mathematical models were adopted successfully
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac131a5ac77f018ae904bf34d9e4ce83
https://doi.org/10.1088/1742-6596/1583/1/012010
https://doi.org/10.1088/1742-6596/1583/1/012010
Publikováno v:
2016 International Conference on Biomedical Engineering (BME-HUST).
This study is to develop an automatic classification system for lower limb Brunnstrom stage of hemiparetic patients. The measurement system is employed both IMU and sEMG to acquire the lower limb motion signals from patients. Afterward, this study ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::871e196988f181c52cbdd8cf044c5080
https://doi.org/10.1109/bme-hust.2016.7782096
https://doi.org/10.1109/bme-hust.2016.7782096