Wearable Device for Residential Elbow Joint Rehabilitation with Voice Prompts and Tracking Feedback APP

In this paper, we propose a wearable device for residential elbow joint rehabilitation with voice prompts and a tracking feedback app (WDRTFAPP). We have developed the app as well as the Arduino embedded system, which we have integrated together. In this research, the patients were simulated by our...

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Autores principales:	Yi-Chao Wu, Zhen-Di Shao, Hsuan-Kai Kao
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	APP Arduino embedded system cloud wearable device elbow joint rehabilitation voice prompts tracking feedback Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/fa3019227ba742598c434312eb79e1a5
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id	oai:doaj.org-article:fa3019227ba742598c434312eb79e1a5
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spelling	oai:doaj.org-article:fa3019227ba742598c434312eb79e1a52021-11-11T15:16:28ZWearable Device for Residential Elbow Joint Rehabilitation with Voice Prompts and Tracking Feedback APP10.3390/app1121102252076-3417https://doaj.org/article/fa3019227ba742598c434312eb79e1a52021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10225https://doaj.org/toc/2076-3417In this paper, we propose a wearable device for residential elbow joint rehabilitation with voice prompts and a tracking feedback app (WDRTFAPP). We have developed the app as well as the Arduino embedded system, which we have integrated together. In this research, the patients were simulated by our team not real patients. By using this wearable device, the elbow joint rehabilitation could be executed at home for the simulated patients with mild and moderately mild elbow joint symptoms. During the rehabilitation, data captured by the wearable device were sent to the tracking feedback APP, using automatic real time via Bluetooth transmission. After TFAPP received the rehabilitation data from the wearable device, the rehabilitation data was sent to the cloud database by Wi-Fi or 5G communication automatically in real time. When the performance of the elbow joint rehabilitation was incorrect the patients received a voice prompt by TFAPP. The simulated patients could query their rehabilitation data using different search strategies, namely by date or TFAPP, at any time or location. In the experimental results, it showed that the correct detecting rate of elbow joint rehabilitation could be up to 90% by WDRTFAPP. The medical staff also could track the rehabilitation status of each simulated patient by the tracking feedback APP (TFAPP) with remote accessing, such as the Internet. Moreover, the rehabilitation appointments could be set up by the clinical staff with TFAPP, using the Internet. Furthermore, the medical staff could track the rehabilitation status of each simulated patient and give feedback at any time and location. The costs of the rehabilitation could be reduced (in terms of time and money spent by the simulated patients) and the manpower required by the hospital.Yi-Chao WuZhen-Di ShaoHsuan-Kai KaoMDPI AGarticleAPPArduino embedded systemcloud wearable deviceelbow joint rehabilitationvoice promptstracking feedbackTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10225, p 10225 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	APP Arduino embedded system cloud wearable device elbow joint rehabilitation voice prompts tracking feedback Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	APP Arduino embedded system cloud wearable device elbow joint rehabilitation voice prompts tracking feedback Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Yi-Chao Wu Zhen-Di Shao Hsuan-Kai Kao Wearable Device for Residential Elbow Joint Rehabilitation with Voice Prompts and Tracking Feedback APP
description	In this paper, we propose a wearable device for residential elbow joint rehabilitation with voice prompts and a tracking feedback app (WDRTFAPP). We have developed the app as well as the Arduino embedded system, which we have integrated together. In this research, the patients were simulated by our team not real patients. By using this wearable device, the elbow joint rehabilitation could be executed at home for the simulated patients with mild and moderately mild elbow joint symptoms. During the rehabilitation, data captured by the wearable device were sent to the tracking feedback APP, using automatic real time via Bluetooth transmission. After TFAPP received the rehabilitation data from the wearable device, the rehabilitation data was sent to the cloud database by Wi-Fi or 5G communication automatically in real time. When the performance of the elbow joint rehabilitation was incorrect the patients received a voice prompt by TFAPP. The simulated patients could query their rehabilitation data using different search strategies, namely by date or TFAPP, at any time or location. In the experimental results, it showed that the correct detecting rate of elbow joint rehabilitation could be up to 90% by WDRTFAPP. The medical staff also could track the rehabilitation status of each simulated patient by the tracking feedback APP (TFAPP) with remote accessing, such as the Internet. Moreover, the rehabilitation appointments could be set up by the clinical staff with TFAPP, using the Internet. Furthermore, the medical staff could track the rehabilitation status of each simulated patient and give feedback at any time and location. The costs of the rehabilitation could be reduced (in terms of time and money spent by the simulated patients) and the manpower required by the hospital.
format	article
author	Yi-Chao Wu Zhen-Di Shao Hsuan-Kai Kao
author_facet	Yi-Chao Wu Zhen-Di Shao Hsuan-Kai Kao
author_sort	Yi-Chao Wu
title	Wearable Device for Residential Elbow Joint Rehabilitation with Voice Prompts and Tracking Feedback APP
title_short	Wearable Device for Residential Elbow Joint Rehabilitation with Voice Prompts and Tracking Feedback APP
title_full	Wearable Device for Residential Elbow Joint Rehabilitation with Voice Prompts and Tracking Feedback APP
title_fullStr	Wearable Device for Residential Elbow Joint Rehabilitation with Voice Prompts and Tracking Feedback APP
title_full_unstemmed	Wearable Device for Residential Elbow Joint Rehabilitation with Voice Prompts and Tracking Feedback APP
title_sort	wearable device for residential elbow joint rehabilitation with voice prompts and tracking feedback app
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/fa3019227ba742598c434312eb79e1a5
work_keys_str_mv	AT yichaowu wearabledeviceforresidentialelbowjointrehabilitationwithvoicepromptsandtrackingfeedbackapp AT zhendishao wearabledeviceforresidentialelbowjointrehabilitationwithvoicepromptsandtrackingfeedbackapp AT hsuankaikao wearabledeviceforresidentialelbowjointrehabilitationwithvoicepromptsandtrackingfeedbackapp
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Wearable Device for Residential Elbow Joint Rehabilitation with Voice Prompts and Tracking Feedback APP

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