Achieving High Accuracy in Predicting Blood Flow Volume at the Arteriovenous Fistulas of Hemodialysis Patients by Intelligent Quality Assessment on PPGs

Author:

Nguyen Duc Huy1ORCID,Chao Paul C. -P.2ORCID,Shuai Hong-Han2ORCID,Fang Yu-Wei3,Lin Bing Shi3ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

2. Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

3. Division of Nephrology, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan

Funder

Ministry of Science and Technology, Taiwan

Department of Biological Science and Technology, College of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

Center For Intelligent Drug Systems and Smart Bio-Devices (IDS2B), National Yang Ming Chiao Tung University

IDS2B from the Featured Areas Research Center Program within the Framework of the Higher Education Sprout Project by the Ministry of Education (MOE), Taiwan

Hsinchu and Southern Taiwan Science Park Bureaus, Ministry of Science and Technology, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Reference59 articles.

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4. Analysis and detection of motion artifact in photoplethysmographic data using higher order statistics

5. The combination of Kaiser window and moving average for the low-pass filtering of the remote ECG signals;bai;Proc 17th IEEE Symp Comput -Based Med Syst,2004

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