A senior citizens home care and rehabilitation system with cloud computing

碩士 === 樹德科技大學 === 資訊工程系碩士班 === 101 === There has been an increase in traffic accidents and chronic joint diseases, which correlates to an rise in the demand and expenses for hospital rehabilitation personnel. Therefore, this paper will research into “Domestic healthcare and rehabilitation system” th...

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Main Authors: Tsung-Hsin Lee, 李宗信
Other Authors: Yu-Chang Chen
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/54458898769545976499
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spelling ndltd-TW-101STU053920192017-03-09T04:13:40Z http://ndltd.ncl.edu.tw/handle/54458898769545976499 A senior citizens home care and rehabilitation system with cloud computing 雲端運算輔助之居家保健與復健系統 Tsung-Hsin Lee 李宗信 碩士 樹德科技大學 資訊工程系碩士班 101 There has been an increase in traffic accidents and chronic joint diseases, which correlates to an rise in the demand and expenses for hospital rehabilitation personnel. Therefore, this paper will research into “Domestic healthcare and rehabilitation system” that aims to reduce the burden on hospital’s medical personnel and resources. This research will combine Kinect, EEG, and ECG with cloud computing service related strategies, defining the basic functionalities of the three main Machine, and the signals will be collected, analyzed, and stored via the cloud system. The system will be composed of two categories, post-injury rehabilitation and senior rehabilitation. The rehabilitation process will be monitored by Kinect, EEG, and ECG simultaneously. Signals collected from the EEG such as pain, concentration, stress and relaxation, as well as HF and LF from the ECG will be synchronized to the medical cloud servers during the rehabilitation process, so that its usage would not be confined to a single computer terminal. Using cloud computing concept to achieve mobile healthcare service, and provide the patient and the attending physician with easy access to rehabilitation status, and actions that aids the rehabilitation process will be recorded on the EEG and ECG and be used to determine the next step of rehabilitation as well as documented with the progress and result of the rehabilitation. Combining the three Machine, employing the use of Kinect to simulate different rehabilitation actions and incorporated with the signals from EEG and ECG, and communicate with the medical cloud server via Internet for diagnostic and performing commands. This will allow doctors to quickly review rehabilitation information, and achieve improved safety and convenience of patient and senior domestic rehabilitation. It is believed that the research result of this paper can improve the situation of Taiwan’s current medical personnel and resources shortage. and reduce patient’s or senior citizen’s dependency on hospitals, thus decrease the misuse of medical resources and achieve a more effective domestic healthcare and rehabilitation. Yu-Chang Chen 陳毓璋 2013 學位論文 ; thesis 124 zh-TW
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description 碩士 === 樹德科技大學 === 資訊工程系碩士班 === 101 === There has been an increase in traffic accidents and chronic joint diseases, which correlates to an rise in the demand and expenses for hospital rehabilitation personnel. Therefore, this paper will research into “Domestic healthcare and rehabilitation system” that aims to reduce the burden on hospital’s medical personnel and resources. This research will combine Kinect, EEG, and ECG with cloud computing service related strategies, defining the basic functionalities of the three main Machine, and the signals will be collected, analyzed, and stored via the cloud system. The system will be composed of two categories, post-injury rehabilitation and senior rehabilitation. The rehabilitation process will be monitored by Kinect, EEG, and ECG simultaneously. Signals collected from the EEG such as pain, concentration, stress and relaxation, as well as HF and LF from the ECG will be synchronized to the medical cloud servers during the rehabilitation process, so that its usage would not be confined to a single computer terminal. Using cloud computing concept to achieve mobile healthcare service, and provide the patient and the attending physician with easy access to rehabilitation status, and actions that aids the rehabilitation process will be recorded on the EEG and ECG and be used to determine the next step of rehabilitation as well as documented with the progress and result of the rehabilitation. Combining the three Machine, employing the use of Kinect to simulate different rehabilitation actions and incorporated with the signals from EEG and ECG, and communicate with the medical cloud server via Internet for diagnostic and performing commands. This will allow doctors to quickly review rehabilitation information, and achieve improved safety and convenience of patient and senior domestic rehabilitation. It is believed that the research result of this paper can improve the situation of Taiwan’s current medical personnel and resources shortage. and reduce patient’s or senior citizen’s dependency on hospitals, thus decrease the misuse of medical resources and achieve a more effective domestic healthcare and rehabilitation.
author2 Yu-Chang Chen
author_facet Yu-Chang Chen
Tsung-Hsin Lee
李宗信
author Tsung-Hsin Lee
李宗信
spellingShingle Tsung-Hsin Lee
李宗信
A senior citizens home care and rehabilitation system with cloud computing
author_sort Tsung-Hsin Lee
title A senior citizens home care and rehabilitation system with cloud computing
title_short A senior citizens home care and rehabilitation system with cloud computing
title_full A senior citizens home care and rehabilitation system with cloud computing
title_fullStr A senior citizens home care and rehabilitation system with cloud computing
title_full_unstemmed A senior citizens home care and rehabilitation system with cloud computing
title_sort senior citizens home care and rehabilitation system with cloud computing
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/54458898769545976499
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