Proceedings ArticleDOI
Detection of Vital Parameters using Cloud Computing Technology
R Karthiga.,Mythil Asaithambi,Madhan Mohan +2 more
- pp 0691-0694
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TLDR
Cloud computing technology is used in order to monitor the patient and retrieve the data by Alexa which has been connected to it, and AWS cloud is used for the storage of the PPG signal and also for running the algorithm inside the cloud.Abstract:
The basic vital parameters of the Human body can be detected from Plethysmography. The PPG signal helps in determining the heart rate of the person, along with SPo2,Blood Pressure and Blood Glucose. Through this monitoring system the doctors could identify the health status of the patient. In this paper, we have used Cloud computing technology in order to monitor the patient and retrieve the data by Alexa which has been connected to it. Considering the cloud computing technology, we have used AWS cloud for the storage of the PPG signal and also for running the algorithm inside the cloud. The smart watch (wearable) is used to collect the PPG data. This could be passed over the cloud for determining the heart rate and the parameter are retrieved with the help of Alexa. Here the Alexa also involved in giving the alert in case of abnormal rangesread more
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Journal ArticleDOI
I and i
TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
References
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Journal ArticleDOI
I and i
TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
Journal ArticleDOI
A review on wearable photoplethysmography sensors and their potential future applications in health care.
TL;DR: Some of the current developments and challenges of wearable PPG-based monitoring technologies are considered and some of the potential applications of this technology in clinical settings are discussed.
Proceedings ArticleDOI
Estimation of heart rate from photoplethysmography during physical exercise using Wiener filtering and the phase vocoder
TL;DR: The proposed system for estimation of the heart rate from the photoplethysmographic signal during intensive physical exercises is shown to be robust to strong motion artifact, produces high accuracy results and has very few free parameters, in contrast to other available approaches.
Journal ArticleDOI
Robust heart rate estimation using wrist-type photoplethysmographic signals during physical exercise: an approach based on adaptive filtering.
Sibylle Fallet,Jean-Marc Vesin +1 more
TL;DR: The proposed two-step processing scheme to estimate heart rate (HR) from wrist-type PPG signals strongly corrupted by motion artifacts is fully automatic, induces an average estimation delay of 0.93, and is therefore suitable for real-time monitoring applications.