Results 131 to 140 of about 108,032 (305)

The Effect of Signal Duration on the Classification of Heart Sounds: A Deep Learning Approach. [PDF]

Sensors (Basel), 2022
Bao X, Xu Y, Kamavuako EN.
europepmc   +1 more source

Observation of Optical Precursor in Time‐Energy‐Entangled W Triphotons

Advanced Science, EarlyView.
This study reports the observation of optical precursors at the triphoton level through the SSWM process. By appropriately adjusting the optical depth (OD), optical precursors are effectively separated from the main wave through utilizing the slow‐light effect to manipulate the triphoton temporal correlations in the group delay regime.
Zhou Feng, Rui Zhuang, Sinong Liu, Guobin Liu, Kangkang Li, Yanpeng Zhang   +5 more
wiley   +1 more source

Acoustic cardiac signals analysis: a Kalman filter–based approach

International Journal of Nanomedicine, 2012
Sheik Hussain Salleh,1 Hadrina Sheik Hussain,2 Tan Tian Swee,2 Chee-Ming Ting,2 Alias Mohd Noor,2 Surasak Pipatsart,3 Jalil Ali,4 Preecha P Yupapin31Department of Biomedical Instrumentation and Signal Processing, Universiti Teknologi Malaysia, Skudai ...
Salleh SH, Hussain HS, Swee TT, Ting CM, Noor AM, Pipatsart S, Ali J, Yupapin PP   +7 more
doaj  

A novel intelligent system based on adjustable classifier models for diagnosing heart sounds. [PDF]

Sci Rep, 2022
Sun S, Huang T, Zhang B, He P, Yan L, Fan D, Zhang J, Chen J.   +7 more
europepmc   +1 more source

A Soft‐Soft Contact Triboelectric Nanogenerator with a Ternary Four‐Phase Structure for Self‐Powered High‐Efficiency Dust Removal on Mars

Advanced Science, EarlyView.
The frequent dust storms and charged dust particles on Mars pose significant challenges to the power generation efficiency and service life of solar panels during exploration missions. This paper proposes a novel wind‐driven ternary four‐phase soft‐soft contact triboelectric nanogenerator (FPS‐TENG) for dust removal.
Fei Yang, Zheping Wang, Boyi Xu, Yifan Lu, Xuyan Hou, Jinsui Xu, Zhijie Xie   +6 more
wiley   +1 more source

Ultrasound‐Responsive Piezoelectric Membrane Promotes Osteoporotic Bone Regeneration via the “Two‐Way Regulation” Bone Homeostasis Strategy

Advanced Science, EarlyView.
Patients with osteoporosis face a higher risk of bone injury, mainly due to weakened osteogenic differentiation and bone formation, along with increased osteoclast differentiation and bone resorption activity, leading to bone homeostasis imbalance.
Xinhui Wu, Tianlong Wang, Jinhui Zhao, Lei Zhang, Zhiqing Liu, Yixing Chen, Yiping Luo, Yaqi Liu, Yan Chen, Hui Jiang, Dilixiati Duolikun, Junjian Liu, Wentao Cao, Longpo Zheng   +13 more
wiley   +1 more source

Deep Learning Methods for Heart Sounds Classification: A Systematic Review. [PDF]

Entropy (Basel), 2021
Chen W, Sun Q, Chen X, Xie G, Wu H, Xu C.   +5 more
europepmc   +1 more source

A MODE OF INTENSIFYING HEART-SOUNDS [PDF]

, 1872
Poore
openalex   +1 more source

Moisture Harvesting by the Structure Regulation of Hygroscopic Hydrogel for Energy and Water Sustainability

Advanced Electronic Materials, EarlyView.
Hygroscopic hydrogels are capable of utilizing the moisture from air, which can transfer the gaseous water to liquid by a surface phase transition. Taking advantage of this water, sustainable water production, thermal management, and electricity generation can be realized.
Yujie Du, Yongliang Zheng, Hong Liu, Shujing Zhao, Xiaomian Wang, Lin Yang   +5 more
wiley   +1 more source

ENACT-Heart -- ENsemble-based Assessment Using CNN and Transformer on Heart Sounds [PDF]

arXiv
This study explores the application of Vision Transformer (ViT) principles in audio analysis, specifically focusing on heart sounds. This paper introduces ENACT-Heart - a novel ensemble approach that leverages the complementary strengths of Convolutional Neural Networks (CNN) and ViT through a Mixture of Experts (MoE) framework, achieving a remarkable ...
arxiv