Cardiovascular Disease Analysis by Multi-Parameters Method Using Neural Network-Based Method with Non-Invasive Photoplethysmography Signal

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簡歷

基本資料

Project title

Code/計畫編號

MOST108-2221-E150-022-MY3

Translated Name/計畫中文名

結合類神經網路與非侵入式光體積變化描記圖法建立多訊息生理參數之測量與評估系統

Project Coordinator/計畫主持人

Chih-Ta Yen

Funding Organization/主管機關

National Science and Technology Council

Co-Investigator(s)/共同執行人

鄭旭志
張勝南

Department/Unit

Department Of Electrical Engineering, NFU

Website

https://www.grb.gov.tw/search/planDetail?id=13319499

Year

2020

Start date/計畫起

01-08-2020

Expected Completion/計畫迄

31-07-2021

Bugetid/研究經費

811千元

ResearchField/研究領域

資訊科學--軟體

隨著社會經濟發展，高壓環境、飲食習慣與不良作息，使得罹患腦心血管疾病逐年攀升，日常監測與預防此時顯得異常重要，但目前居家醫療服務或儀器都傾向長照為主，因此計畫預期建立一套可以根據光體積變化描記圖量測九種生理指標的雲端輔助診斷系統，提供民眾與患者長時間進行居家量測，並提供專業醫學人士追蹤及參考，協助預先判斷病患病情，在病情產生變化前能夠先期提供幫助。計畫第一年設計使用感測模組偵測生理訊號，並使用嵌入式單板電腦作處理，建立脈搏率與血壓相關生理參數的計算演算法；第二年建立血氧濃度與重要的生理參數演算法，並架設雲端資料庫；第三年則利用設計的生理量測系統進行校內實驗，接著與醫院合作進行臨床實驗，同步與醫院醫療儀器量測腦心血管疾病患者，進行系統驗證與校準，最後將生理參數上傳至雲端網站完成大數據資料庫，供醫師日常觀察與追蹤，即時掌握病患身理狀態。計畫的困難點在於各項生理參數皆需要演算法轉換以及醫療專業知識長期校準而得，因此計畫為期三年並與台大醫院心臟內科進行長期合作，不僅可提供臨床上極高的使用價值，將來也可以成為居家照護中不可或缺的重要儀器，同時也能替台灣建立光體積變化描記圖信號的資料庫，以供全國研究人員使用。With the development of social economy, high-pressure environment, high oil and salty eating habits and bad work and rest, the brain and cardiovascular diseases are rising year by year. Daily monitoring and prevention are extremely important at this time, but at present, home medical services or instruments are prone to long-term care. Mainly, this project establishes a system that can measure nine physiological indicators according to the photoplethysmography, which can provide the public and patients with long-term home measurement, and set up a cloud system to record the physiological parameters of patients, provide medical professionals with more accurate and rational reference. In the first year of the project, we use sensing module to detect physiological signals, and the embedded single-board computer is used for processing to establish a calculation algorithm for pulse rate and blood pressure-related physiological parameters. The second year, we measure blood oxygen concentration and other important physiological parameters. The measured parameters are than saved to cloud database. In the third year, the experiment was carried out using the designed physiological measurement system. Then cooperate with the hospital to conduct clinical trials. Simultaneous measurement of proposed measured system and medical instruments for patients with cardiovascular and cardiovascular diseases to perform system verification and calibration. Finally, upload the physiological parameters to the cloud website for the daily observation and tracking of the doctor. Difficulties in the project are all physiological parameters require algorithmic transformation and long-term calibration of medical expertise. With the Long-term cooperation with the Department of Cardiology of National Taiwan University Hospital, it not only can provide a very high value for use on a trampoline, but it can also be an indispensable instrument in home care. At the same time, it can also establish a database of PPG tracing signals for Taiwan for use by national researchers.

Keyword(s)

光體積變化描計圖
生理參數量測
心腦血管疾病
雲端資料庫
遠距醫療
Photoplethysmography (PPG)
physiological parameter measurement
cardiovascular disease
cloud database
telemedicine.

DSpace CRIS

Cardiovascular Disease Analysis by Multi-Parameters Method Using Neural Network-Based Method with Non-Invasive Photoplethysmography Signal

基本資料

Description