Results 51 to 60 of about 29,766 (248)

Classification of Heart Sound Signals Based on AR Model [PDF]

2016 Computing in Cardiology Conference (CinC), 2016
Heart sounds reflect information of the mechanical contraction of the heart in both of the physiological and pathological conditions. It is important to develop novel numerical algorithms to characterize the features of the heart sound as a helpful diagnostic tool of cardiovascular diseases.
Runnan He, Kuanquan Wang, Qince Li, Zhiqiang Sheng, Na Zhao 0002, Henggui Zhang   +5 more
openaire   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Research on heart sound segmentation algorithm based on adaptive threshold

四川大学学报. 自然科学版, 2019
Heart sound signal can reflect the activity of the human heart valve, and the heart sound classification can distinguish the pathological information of different heart sounds, which is of great significance for clinical diagnosis of different heart ...
ZENG Jin-Yun, HE Pei-Yu, PAN Fan
doaj  

Heart Sound Classification Using Bi⁃LSTM and Self⁃attention Mechanism

Shuju Caiji Yu Chuli
Heart sound auscultation is an effective diagnostic method for early screening of heart disease. In order to improve the performance of abnormal heart sound detection， this paper proposes a heart sound classification algorithm based on bi-directional ...
LU Guanming, LI Qijian, LU Junhe, QI Jirong, ZHAO Yuhang, WANG Yang, WEI Jinsheng   +6 more
doaj   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Advanced heart disease classification based on multi-channel heart sound coupling features.

PLoS ONE
Conventional heart sound classification methods often rely on single-channel, one-dimensional feature extraction, which inadequately captures pathological relationships across different auscultation zones, thereby limiting the accuracy of heart disease ...
Yu Fang, Dongbo Liu, Zijian Guo, Hongxia Leng, Xing Liu, Xiaochen Wu   +5 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 decision tree – based method for the differential diagnosis of Aortic Stenosis from Mitral Regurgitation using heart sounds

BioMedical Engineering OnLine, 2004
Background New technologies like echocardiography, color Doppler, CT, and MRI provide more direct and accurate evidence of heart disease than heart auscultation.
Loukis Euripides N, Stasis Antonis CH, Pavlopoulos Sotiris A   +2 more
doaj   +1 more source

A hybrid particle swarm optimization-SVM classification for automatic cardiac auscultation [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2017
Cardiac auscultation is a method for a doctor to listen to heart sounds, using a stethoscope, for examining the condition of the heart. Automatic cardiac auscultation with machine learning is a promising technique to classify heart conditions without ...
Prasertsak Charoen, Waree Kongprawechnon, Kanokvate Tungpimolrut   +2 more
doaj   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source