Machine learning (ML) allows the Internet of Things (IoT) to gain hidden insights from the
treasure trove of sensed data and be truly ubiquitous without explicitly looking for knowledge …

This article presents a systematic mapping study dedicated to conduct a literature review on
machine learning and IoT applied in the identification of diseases through heart sounds …

Cardiovascular diseases (CVDs) are a prominent cause of death globally. The introduction
of medical big data and Artificial Intelligence (AI) technology encouraged the effort to …

Heart sound analysis plays an important role in early detecting heart disease. However,
manual detection requires doctors with extensive clinical experience, which increases …

Heartbeat sounds are biological signals used in the early diagnosis of cardiovascular
diseases. Digital heartbeat sound recordings, called phonocardiogram (PCG), are used in …

Heart rate classification is a challenging problem primarily due to spectral overlap of normal
heart sound with internal sources like extra heart sounds, extra systole, murmurs, respiration …

Physiological conditions that prevent heart valves from functioning precisely to ensure
proper blood circulation are known as heart valve disorder (HVD). Detection of HVD is …

Automatic sound classification attracts increasing research attention owing to its vast
applications, such as robot navigation, environmental sensing, musical instrument …

Abstract Objective: Cardiovascular Diseases (CVDs) can be effectively treated when
detected early, reducing mortality rates significantly. Traditionally, Phonocardiogram (PCG) …

The growing prevalence and high mortality rate due to valvular heart diseases (VHD) are
concerned. Therefore, its accurate, rapid, and early diagnosis is important. This study …