IoT-enabled Heart Monitoring Device with Signal De-noising and Segmentation using Discrete Wavelet Transform

This paper describes an implementation of a BLE-enabled smart heart monitoring system by incorporating synchronous capturing of critical heart physiological signals in a single device, allowing the heart condition of a heart patient to be monitored from home, as well as allowing the captured signals to be stored in a smartphone and subsequently uploaded onto a cloud storage for further processing and analysis. The system aims to reduce the time needed for heart patients to visit hospitals in their regular check-ups for monitoring of their heart condition. With this device, heart patients will be able to monitor two important heart signals, namely the Electrocardiogram (ECG) and Phonocardiogram (PCG), concurrently and conveniently at home, and send the signals to medical professionals for consultation. Several wavelets were evaluated in this work and they were used for signal enhancement and segmentation. The same technique is also deployed to detect the QRS-peaks from the ECG, and S1 & S2 heart sounds from the PCG, to assist medical professionals in diagnosis of the heart condition. The device will benefit heart patients significantly in terms of reduction in travel time as they will be able to get their regular check-ups carried out conveniently and comfortably at home. It also helps the medical professionals in their diagnosis of heart condition as the signals are segmented with S1 and S2 marked accordingly. The hospitals will also gain through productivity improvement where non-critical heart patients could be evaluated without the need for them to visit hospitals for their regular check-ups, thus freeing up their resources for patients with more critical conditions.