One-Month Evaluation of Blood Pressure Estimation Using a Fine-Tuned Model With Wristband-Type Photoplethysmograms
Author:
Affiliation:
1. Graduate School of Science and Technology, Tokyo University of Science (TUS), Chiba, Japan
2. Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan
Funder
Japan Society for the Promotion of Science (JSPS) KAKENHI Grant-in-Aid for Scientific Research
Japan Science and Technology Agency (JST)-Mirai Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7361/10577556/10541920.pdf?arnumber=10541920
Reference30 articles.
1. Hypertension as a Risk Factor: Is It Different in Ischemic Stroke and Acute Myocardial Infarction Comparative Cross-Sectional Study?
2. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants
3. Correction to: 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines
4. Blood Pressure Estimation from Photoplethysmogram Using a Spectro-Temporal Deep Neural Network
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