Results 61 to 70 of about 4,885 (281)

Construction and validation of a method for automated time label segmentation of heart sounds

Frontiers in Artificial Intelligence
Heart sound detection technology plays an important role in the prediction of cardiovascular disease, but the most significant heart sounds are fleeting and may be imperceptible.
Liuying Li, Min Huang, Ling Dao, Ling Dao, Xixi Feng, Yifeng Liu, Changyou Wei, Fangfang Liu, Jing Zhang, Fan Xu   +9 more
doaj   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Application of End-to-End Convolutional Kolmogorov-Arnold Networks in Atrial Fibrillation Heart Sound Recognition [PDF]

Jisuanji kexue
Atrial fibrillation(AF) is a severe cardiac arrhythmia that requires early diagnosis.Traditional diagnostic methods typically involve cardiologists using electrocardiograms(ECG) and echocardiograms to make diagnostic conclusions.To address issues such as
DENG Hong, CHEN Yan, YANG Hongbo, ZHAO Feng, JIANG Yongzhuo, GUO Tao, WANG Weilian
doaj   +1 more source

S2 Heart Sound Detects Aortic Valve Calcification Independent of Hemodynamic Changes in Mice

Frontiers in Cardiovascular Medicine, 2022
BackgroundCalcific aortic valve disease (CAVD) is often undiagnosed in asymptomatic patients, especially in underserved populations. Although artificial intelligence has improved murmur detection in auscultation exams, murmur manifestation depends on ...
Valentina Dargam, Hooi Hooi Ng, Hooi Hooi Ng, Sana Nasim, Daniel Chaparro, Camila Iansen Irion, Suhas Rathna Seshadri, Armando Barreto, Zachary C. Danziger, Lina A. Shehadeh, Lina A. Shehadeh, Joshua D. Hutcheson, Joshua D. Hutcheson   +12 more
doaj   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 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

Time-Frequency Analysis, Denoising, Compression, Segmentation, and Classification of PCG Signals

IEEE Access, 2020
Phonocardigraphy (PCG) is the graphical representation of heart sounds. The PCG signal contains useful information about the functionality and the condition of the heart. It also provides an early indication of potential cardiac abnormalities. Extracting
Tanzil Hoque Chowdhury, Khem Narayan Poudel, Yating Hu   +2 more
doaj   +1 more source

Testing and Simulation of Multilayer Polyvinylidene Fluoride‐Based Piezoelectric Energy Harvester Devices

Advanced Materials Technologies, EarlyView.
The study considers the use of polymer/dielectric‐based multilayers piezoelectric Energy Harvesters (EH) to produce an output voltage and current, by exploiting the mechanical energy provided by human organs movements. In particular, the heart motion is considered from the kinematic viewpoint, and a multiphysics theoretical model is developed to assess
Hamdi Ezzin, Silvia Monchetti, Paolo Emilio Puddu, Luciano Teresi, Antonio DeSimone, Roberto Brighenti   +5 more
wiley   +1 more source

Automatic Recognition of Fundamental Heart Sound Segments From PCG Corrupted With Lung Sounds and Speech

IEEE Access, 2020
Automated recognition of fundamental heart sound segments (FHSS) from Phonocardiogram (PCG) is the preliminary step before clinical parameters extraction to detect the presence of abnormality if any.
K. Ajay Babu, Barathram Ramkumar
doaj   +1 more source

Heart sound segmentation algorithm based on instantaneous energy of electrocardiogram [PDF]

, 2003
This paper presents an algorithm to detect the first heart sound (S1) and second heart sound (S2). The algorithm utilizes Instantaneous Energy of electrocardiogram (ECG) to estimate the presence of S1 and S2. Thus, heart sound segmentation can be done as
M. B., Malarvili, S., Hussain, D., Helmi, Ismail, Kamarul Afizam   +3 more
core