This paper aims to explore the usefulness on hidden Markovian model for cough detection
from abdominal and thoracic respiratory signals. Time and frequency domains based …

Automated systems for disease identification have the potential to streamline the patient
diagnosis process and provide insight to physicians. Exploratory studies have developed …

Abstract Machine learning (ML) in healthcare has enabled the automatic detection of
diseases from medical images or sensors with high accuracy, often outperforming domain …

Introduction: The burden of diabetes mellitus is increasing in Africa. Wearables have a
proven track record of combating chronic diseases. However, little is known about patients' …

Recently, neural networks have acquired substantial relevance in defect location. The
widespread use of neural networks began in the late 1980s and early 1990s. Normally …

Early detection of adventitious lung sounds in pediatric population is of prime importance as
untreated respiratory disorders can become chronic and non-curable in adulthood. This …

2019 년 11 월 중국 우한시에서 발병한 코로나 19 는 2020 년 중국을 넘어 세계로 퍼져나가
2020 년 3 월에는 전 세계적으로 확산되었다. 코로나 19 와 같이 전염성이 강한 바이러스는 …

Pulmonary diseases are a leading cause of death worldwide. Much of their burden
disproportionately affects the developing world. The MIT Mobile Technology Lab has …

An audio-based classification model that differentiates between healthy vs pathological
respiratory symptoms using acoustic features extracted from phonated/A:/sounds is …

A new method for the classification of respiratory diseases is presented. The method is
based on a novel class of features, extracted from pulmonary sounds, by parameterizing …