Image Analysis on Fingertip Video To Obtain PPG

Author:

Chatterjee Ayan1ORCID,Prinz Andreas1ORCID

Affiliation:

1. Department of ICT - e Health the University of Agder, Grimstad, Norway.

Abstract

Cardiovascular problems are evolving as the chief cause of death worldwide. Heart Rate, Blood Pressure, Respiratory Rate, Oxygen Saturation, Systolic Upstroke Time, Heart Beat duration, Diastolic time, RR intervalare some important physiological parameters that help to monitor our daily health condition. Those parameters are very useful to determine if a person is suffering from any cardiovascular problems or not based on daily data collection and monitoring over a certain period of time and in this context machine learning algorithms will be very helpful for developing a smart cardiovascular tele-monitoring & recommendation system for better lifestyle. Irregularities in the heart signal can pop up a serious indication for upcoming cardiac problem. Here, we have concentrated on intensity variation based heart rate calculation process from PPG with major analysis on captured contact video. Here we have used normal handy smart phone camera which is available to everyone and able to capture fingertip videos of flowing blood in the vessels with visible light wavelength. In this paper, we have performed analysis on captured videos for accurate health parameter capturing and compared it with standard devices (FDA approved).

Publisher

Oriental Scientific Publishing Company

Subject

Pharmacology

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Monitoring of Blood Pressure with Video Processing;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

2. Analysis of i-PPG signals acquired using smartphones for the calculation of pulse transit time and oxygen saturation;2023 10th International Conference on Signal Processing and Integrated Networks (SPIN);2023-03-23

3. Real-Time Hemoglobin Measurement Using Smartphone Video and Artificial Neural Network;2022 4th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE);2022-12-29

4. DNN Based Blood Glucose Level Estimation Using PPG Characteristic Features of Smartphone Videos;2022 25th International Conference on Computer and Information Technology (ICCIT);2022-12-17

5. Prospective validation of smartphone-based heart rate and respiratory rate measurement algorithms;Communications Medicine;2022-04-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3