This paper describes the implementation and early evaluation of a physiological sensing tool that collects and processes photoplethysmography data from a ...
This paper describes the implementation and early evaluation of a physiological sensing tool that collects and processes photoplethysmography data from a ...
Abstract—The ubiquity of wearable devices together with areas like internet of things, big data and machine learning have promoted the development of ...
Jan 24, 2020 · This paper describes the implementation and early evaluation of a physiological sensing tool that collects and processes photoplethysmography ...
This chapter describes the theory, research and evidence relating to values-based recruitment (VBR) in the context of healthcare selection. First, ...
This paper presents a simple, inexpensive and easily available approach for the detection of the human heart beats per minute and computation of heart rate ...
The aim of this paper is to present a smartphone based system for real-time pulse-to-pulse (PP) interval time series acquisition by frame-to-frame camera ...
Missing: Implementation Detection Personalized Healthcare.
Aug 16, 2024 · This application performs real-time monitoring of the patient's condition to reduce patient care delays. In addition, it is oriented to ...
Nov 29, 2023 · AI algorithms can be used to analyze the massive amount of data collected by wearable devices, enabling healthcare providers to identify ...
The IPHMS framework aims to revolutionize personal health monitoring through real-time alerts, comprehensive tracking, and personalized insights.
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