Smartphone IoT-Based Point of Care Method for Arrhythmia Detection

In this paper, a novel method for continuously monitoring heart rate to detect arrhythmia is proposed. According to modern trends, wearable sensors have become promising for their use in the healthcare industry due to their convenience, ubiquity for patients, and the ability to gather real-time data. Technological advancements in new heart rate monitoring devices, such as wearable sensors and wireless monitors, are needed to help improve arrhythmia detection for patients. We propose a novel non-invasive, portable, and wireless method for monitoring heart rate by using Electrocardiogram (ECG) signals gathered using a Smartphone IoT-based system. Our experimental approach uses the measurement of peak-to-peak intervals between two successive signal peaks to estimate the heart rate of a test subject. The hardware used in the experiment includes a Node MCU Arduino platform to gather the raw data that is analyzed in MATLAB. Furthermore, a combination of filtering algorithms and peak detection of Electrocardiogram (ECG) signals is performed to remove noise and process the signals appropriately. The algorithm is tested on a healthy subject for seven minutes. Statistical data analysis is performed and the performance in terms of accuracy, sensitivity, and specificity was 96.1%, 95.2%, and 94.8% respectively.