INTEGRATION OF SIGNAL PROCESSING AND ARTIFICIAL INTELLIGENCE TO DETERMINE HEART RATE ESTIMATION FROM HEART SOUNDS
IGBERASE, R. AND OSAREMWINDA, O.
ABSTRACT
Heart activity monitoring using non-electrical principles is becoming increasingly popular due to its numerous benefits in applications such as telemedicine, whole-day monitoring, simple sensors, and measurement in specialized situations. To meet these current requirements, several research have begun to focus on the creation and integration of diverse sensors into unobtrusive monitoring systems. Measurement of essential indicators, such heart rate (HR) using PCG, or other machine leaning techniques, can help with health monitoring, illness prevention, and screening for certain chronic conditions. Since therapy for heart disease is most successful when the condition is still in its early stages, early detection is crucial. Thus, it is critical to evaluate how well wearable device (accelerometer)-generated data may be used to monitor…