Results 71 to 80 of about 108,032 (305)
Segmental Convolutional Neural Networks for Detection of Cardiac Abnormality With Noisy Heart Sound Recordings [PDF]
arXiv, 2016 Heart diseases constitute a global health burden, and the problem is exacerbated by the error-prone nature of listening to and interpreting heart sounds. This motivates the development of automated classification to screen for abnormal heart sounds. Existing machine learning-based systems achieve accurate classification of heart sound recordings but ...
arxiv
Segmentation-free Heart Pathology Detection Using Deep Learning [PDF]
arXiv, 2021 Cardiovascular (CV) diseases are the leading cause of death in the world, and auscultation is typically an essential part of a cardiovascular examination. The ability to diagnose a patient based on their heart sounds is a rather difficult skill to master. Thus, many approaches for automated heart auscultation have been explored.
arxiv
Advanced Materials, EarlyView.The sidechain doped polymer is investigated to have great potential for pressure detection due to the advantages including molecular rearrangement and charge‐density perturbance induced by micro‐mechanical deformation. This sensor displayed low‐pressure detection limit of 0.7 Pa as well as a rapid response time of 18.8 ms, enabling multi‐mode motion ...
Huimin Lu +14 more
wiley +1 more source
A Novel Method for Measuring the Timing of Heart Sound Components through Digital Phonocardiography
Sensors, 2019 The auscultation of heart sounds has been for decades a fundamental diagnostic tool in clinical practice. Higher effectiveness can be achieved by recording the corresponding biomedical signal, namely the phonocardiographic signal, and processing it by ...
Noemi Giordano, Marco Knaflitz
doaj +1 more source
Unperceivable Designs of Wearable Electronics
Advanced Materials, EarlyView.Unperceivable wearable technologies seamlessly integrate into everyone's daily life, for healthcare and Internet‐of‐Things applications. By remaining completely unnoticed both visually and tactilely, by the user and others, they ensure medical privacy and allow natural social interactions.
Yijun Liu +2 more
wiley +1 more source
A Low-Cost, Portable, High-Throughput Wireless Sensor System for Phonocardiography Applications
Sensors, 2012 This paper presents the design and testing of a wireless sensor system developed using a Microchip PICDEM developer kit to acquire and monitor human heart sounds for phonocardiography applications.
Akkarapol Sa-ngasoongsong +4 more
doaj +1 more source
Advanced Materials Interfaces, EarlyView.This article provides a comprehensive overview of electroless plating, covering its basic mechanisms, bath composition, operating parameters, and metal layer characterization. It also addresses recent advancements, current limitations, and potential improvements, as well as the technology's applications in various industries.
Na Kyoung Kim +4 more
wiley +1 more source
Research on heart and lung sound separation method based on DAE–NMF–VMD
EURASIP Journal on Advances in Signal ProcessingAuscultation is the most effective method for diagnosing cardiovascular and respiratory diseases. However, stethoscopes typically capture mixed signals of heart and lung sounds, which can affect the auscultation effect of doctors.
Wenhui Sun, Yipeng Zhang, Fuming Chen
doaj +1 more source
Advanced Materials Interfaces, EarlyView.This review article explores applications in wearable sensors such as mechanical, electrophysiological, and gas sensors, highlighting advancements that improve device performance and predictability. In addition to analyzing graphene's synthesis techniques, including traditional and advanced laser‐based methods, the article discusses fabrication ...
Fatemeh Saeedi +2 more
wiley +1 more source
Assessing methods of Normal heart sounds
نشریه پرستاری ایران, 1989 Listen to the heart sounds gives us valuable information about existence of disorder in heart rate and rhythm, ventricular fibrillation and movement of blood through valves. This required a lot of skills.
Salemi S
doaj