Results 71 to 80 of about 4,260,860 (287)

Heart Sound Signal Classification Algorithm: A Combination of Wavelet Scattering Transform and Twin Support Vector Machine

IEEE Access, 2019
By classifying the heart sound signals, it can provide very favorable clinical information to the diagnosis of cardiovascular diseases. According to the characteristics of heart sound signals which are complex and difficult to classify and recognize, a ...
Jinghui Li, Li Ke, Qiang Du, Xiaodi Ding, Xiangmin Chen, Danni Wang   +5 more
doaj   +1 more source

A Molecularly Defined Midbrain Circuit Mechanism for Sound‐Driven Defensive Behavior and Anxiety

Advanced Science, EarlyView.
Schematic diagram showing the Cbln2+ ICx–dPAG circuit for sound‐driven defensive and anxiety‐like behaviors. ABSTRACT The innate defense behaviors in response to threatening sounds play a fundamental role in survival. However, the neural circuits that detect threat‐relevant auditory cues and transform them into defensive behaviors remain poorly defined.
Jie Cao, Xingxing Lai, Lifang Huo, Zhouyuan Zheng, Qian Zhang, Zhimin Ye, Panpan Wan, Chao Ma, Congping Shang   +8 more
wiley   +1 more source

Bioengineered Stroma‐Camouflaged Nanovesicles Disrupt the IDO1/CD276 Immunosuppressive Circuit to Reinvigorate Antitumor Immunity

Advanced Science, EarlyView.
Bioengineered stroma‐camouflaged nanovesicles (AM@UIO‐BMS/DOX) convert the immunosuppressive tumor niche into an immunoresponsive milieu by disrupting the IDO1/CD276 circuit. Anti‐CD276 membrane camouflage guides tumor accumulation and deep penetration, enabling controlled co‐delivery of DOX and the IDO1 inhibitor BMS‐986205.
Ziqi Zhang, Jing Luo, Mengdi Zhang, Jingying Zhuang, Yating Zheng, Yang Zhang, Zhihong Huang, Xinhua Lin, Shuzhen Xu, Hong Yao, Gang Liu, Bing Chen   +11 more
wiley   +1 more source

KLASIFIKASI SUARA JANTUNG MENGGUNAKAN DEEP LEARNING INTEGRASI AI DALAM APLIKASI WEB UNTUK DETEKSI DINI GANGGUAN KARDIOVASKULAR

Jurnal Komputer Terapan
Heart disease is one of the leading causes of death worldwide, making early detection crucial to prevent more serious complications. One of the methods that can be used is heart sound analysis, which contains important information related to the ...
warnia nengsih, Mona Elviyenti, Mardhiah Fadhli, Galih Aleanda, Nuradila Utama   +4 more
doaj   +1 more source

Associated Students of the University of Puget Sound (ASUPS) Senate Minutes 2020-2021 [PDF]

, 2020
Meeting minutes of the Associated Students of the University of Puget Sound from 09/2020 - 05/2021.
Associated Students of the University of Puget Sound (ASUPS)
core  

Habitat‐Specific Design Strategies for Untethered Soft Robots

Advanced Science, EarlyView.
Habitat shapes the design of untethered soft robots. Across land, water, air, and living tissues, environmental constraints govern viable combinations of compliant structures, actuation mechanisms, and energy delivery. This review connects these constraints with robotic performance and identifies design principles for advancing adaptable, durable, and ...
Siyang Li, Zhikun Miao, Tuck‐Whye Wong, Tiefeng Li   +3 more
wiley   +1 more source

Heartbeat Sound Signal Classification Using Deep Learning

Sensors, 2019
Presently, most deaths are caused by heart disease. To overcome this situation, heartbeat sound analysis is a convenient way to diagnose heart disease. Heartbeat sound classification is still a challenging problem in heart sound segmentation and feature ...
Ali Raza, Arif Mehmood, Saleem Ullah, Maqsood Ahmad, Gyu Sang Choi, Byung-Won On   +5 more
doaj   +1 more source

Salivary Citrate Deficiency Defines an Endogenous Dentin Remineralization Failure State Through Glandular MT1/2‐Zn2+‐ACO2 Dysregulation

Advanced Science, EarlyView.
Salivary citrate deficiency in early‐stage Sjögren's syndrome accompanies impaired dentin remineralization despite preserved salivary flow and mineral availability. Matched‐ion experiments reveal disrupted mineral organization and reduced dentin recovery at disease‐associated citrate levels.
Ran You, Wenhui Wang, Franklin R. Tay, Haotian Dong, Mutong Wei, Ruoyun Wu, Xin Song, Chen Chen, Haifeng Xie   +8 more
wiley   +1 more source

DIAGNOSIS OF ARRHYTHMIA DISEASES USING HEART SOUNDS AND ECG SIGNALS

Российский кардиологический журнал, 2014
This paper presents a novel method for the detection of Arrhythmia diseases using both heart sounds and ECG signals. This automated classification and analysis system is aimed to assist the cardiologist to make the diagnosis faster and more efficient ...
V. Kalaivani
doaj   +1 more source

Temporal Convolutional Network Connected with an Anti-Arrhythmia Hidden Semi-Markov Model for Heart Sound Segmentation

Applied Sciences, 2020
Heart sound segmentation (HSS) is a critical step in heart sound processing, where it improves the interpretability of heart sound disease classification algorithms.
Yibo Yin, Kainan Ma, Ming Liu
doaj   +1 more source