Results 71 to 80 of about 5,548 (255)

Emerging Wearable Acoustic Sensing Technologies

open access: yesAdvanced Science, Volume 12, Issue 6, February 10, 2025.
This review summarizes recent advancements in wearable acoustic devices developed through interdisciplinary and bionic approaches. These applications include bio‐acoustic detection, ultrasound energy supply, and ultrasonic diagnosis. It highlights challenges and future directions, aiming to promote their use in the human body and explore integration ...
Tao Liu   +7 more
wiley   +1 more source

Звукові сигнали діяльності серця і їх аналіз у частотно-часовій області [PDF]

open access: yes, 2013
Дослідження звукових сигналів діяльності серця (аускультація) є одним з ефективних і недорогих методів ранньої діагностики захворювань серцево-судинної системи.
Поворознюк, Н. І.   +1 more
core  

Physiologic Status Monitoring via the Gastrointestinal Tract [PDF]

open access: yes, 2014
Reliable, real-time heart and respiratory rates are key vital signs used in evaluating the physiological status in many clinical and non-clinical settings.
Barman, Ross   +7 more
core   +1 more source

Advancements in wearable heart sounds devices for the monitoring of cardiovascular diseases

open access: yesSmartMat, Volume 6, Issue 1, February 2025.
This article presents the recent advancements in wearable and flexible heart sound devices, focusing on their mechanics, types of sensors, flexible sensing materials, and prospective denoising techniques. Furthermore, the potential applications of heart sounds for the monitoring of cardiovascular diseases are reviewed as well along with its future ...
Rafi u Shan Ahmad   +5 more
wiley   +1 more source

Fetal Gender Identification using Machine and Deep Learning Algorithms on Phonocardiogram Signals [PDF]

open access: green, 2021
Reza Khanmohammadi   +3 more
openalex   +1 more source

Bipartite Dynamic Pattern and Penta Pooling‐Based Valvular Heart Disorder Detection Model

open access: yesThe Journal of Engineering, Volume 2025, Issue 1, January/December 2025.
This study presents a self‐organised feature engineering (XFE) model for valvular heart disorder (VHD) detection. The proposed model integrates bipartite dynamic pattern (BDP) and penta pooling (PP) for feature extraction, neighbourhood component analysis (NCA) and Chi‐square (Chi2) for feature selection and shallow classifiers (kNN, SVM) for ...
Mehmet Nail Bilen   +5 more
wiley   +1 more source

Detection of the valvular split within the second heart sound using the reassigned smoothed pseudo Wigner–Ville distribution [PDF]

open access: yes, 2013
BACKGROUND: In this paper, we developed a novel algorithm to detect the valvular split between the aortic and pulmonary components in the second heart sound which is a valuable medical information.
Abdelghani Djebbari   +1 more
core   +1 more source

Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution [PDF]

open access: yes, 2003
Heart sounds and murmurs are time-varying signals that would best be analyzed using time-frequency analysis. Windowed Wigner-Ville distribution (WWVD) and smooth windowed Wigner-Ville distribution (SWWVD) are used to obtain the timefiequency ...
Daliman, Shaparas, Sha'ameri, Ahmad Zuri
core  

Beat-by-Beat Estimation of Hemodynamic Parameters in Left Ventricle Based on Phonocardiogram and Photoplethysmography Signals Using a Deep Learning Model: Preliminary Study

open access: yesBioengineering
Beat-by-beat monitoring of hemodynamic parameters in the left ventricle contributes to the early diagnosis and treatment of heart failure, valvular heart disease, and other cardiovascular diseases.
Jiachen Mi   +4 more
doaj   +1 more source

A phonocardiographic-based fiber-optic sensor and adaptive filtering system for noninvasive continuous fetal heart rate monitoring [PDF]

open access: yes, 2017
This paper focuses on the design, realization, and verification of a novel phonocardiographic-based fiber-optic sensor and adaptive signal processing system for noninvasive continuous fetal heart rate (fHR) monitoring.
Bilík, Petr   +8 more
core   +2 more sources

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