Processing the ECG signal with band-pass filters

A graph of Electrocardiograph(ECG) recorded with the help of Polar H10 device. The sample duration is 1 minute.
Figure — 1 : Raw ECG signal recorded on Polar H10 device (duration = 60 seconds, fs = 130 Hertz)

Introduction

With a plethora of Biofeedback apps emerging in the health and fitness space, wearable biosensing devices are becoming pivotal in determining the “Active” state of the users. The active state of the user could be defined as the mood; between happy-sad-neutral or stress state; between relaxed-stressed-neutral, or even health state…

Plotting a live Accelerometer data-stream with Python using Polar Fitness Tracker

Introduction

With a plethora of Biofeedback apps emerging in the health and fitness space, wearable biosensing devices are becoming pivotal in determining the “Active” state of the users. The active state of the user could be defined as the mood; between happy-sad-neutral or stress state; between relaxed-stressed-neutral, or even health…

Plotting a live ECG data-stream with Python using Polar Fitness Tracker

Fig — 1: ECG data stream visualized in a Python Application (Github)

Introduction

With a plethora of Biofeedback apps emerging in the health and fitness space, wearable biosensing devices are becoming pivotal in determining the “Active” state of the users. The active state of the user could be defined as the…

Pareeknikhil

I am Computer Scientist by profession and a Neuroscientist by heart !! Writing Intelligent Software is my area of interest

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