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).
Highlights
PPG signal can be described as noninvasive, inexpensive, portable and convenient tool for calculatingOxygen saturation (SPO2), blood pressure, Heart Rate, Arterial age, vascular disease etc
PPG signal can be measured with conventional pulse oximetry devices or smart phone camera
In our experiment we have used smart phone camera to capture fingertip red image video for 30 sec. on average in visible wavelength (400-700 nm) under normal physical & environmental condition for obtaining brightness signal to plot & analyze the PPG signal.Infrared is a special form of invisible electromagnetic wave that can be felt by heat
Summary
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. Bad Frame with average pixel intensity > 254-255 on red channel: So, it shows that images of captured video depends on the quality of the camera and circumstances. For captured fingertip video without flash, intensity variation is abrupt (more than 5) and not fit for calculating heart rate.For contact fingertip videos without flash, histogram analysis shows blue and green channel intensity per frame shifts left and for blue channel the range becomes > 0 &< 10 and for blue channel it ranges in between > 0 &< 1 From this pattern and comparing same to the Captured by Samsung J7 Gen for a 31 years of healthy man with flash: Fig. 14.1. It can be concluded as a part of future research paper
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