Results 21 to 30 of about 10,264,567 (303)

Detection of focal electroencephalogram signals using higher-order moments in EMD-TKEO domain

Healthcare Technology Letters, 2019
Detection of epileptogenic focus based on electroencephalogram (EEG) signal screening is an important pre-surgical step to remove affected regions inside the human brain.
Soumya Chatterjee
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Multicolor high-resolution whole-brain imaging for acquiring and comparing the brain-wide distributions of type-specific and projection-specific neurons with anatomical annotation in the same brain

Frontiers in Neuroscience, 2022
Visualizing the relationships and interactions among different biological components in the whole brain is crucial to our understanding of brain structures and functions.
Zhangheng Ding, Zhangheng Ding, Jiangjiang Zhao, Tianpeng Luo, Bolin Lu, Xiaoyu Zhang, Siqi Chen, Anan Li, Anan Li, Xueyan Jia, Jianmin Zhang, Wu Chen, Jianwei Chen, Jianwei Chen, Qingtao Sun, Xiangning Li, Xiangning Li, Hui Gong, Hui Gong, Jing Yuan, Jing Yuan   +20 more
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Reliability Analysis of an Epileptic Seizure Detector Powered by an Energy Harvester

Micromachines, 2019
Due to a limited lifetime of a battery, energy harvesters have been studied as alternative energy sources for implantable biomedical devices such as an implantable stimulator for epileptic seizure suppression.
Sunhee Kim, Suna Ju, Chang-Hyeon Ji
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Detection and classification of ECG noises using decomposition on mixed codebook for quality analysis

Healthcare Technology Letters, 2020
In this Letter, a robust technique is presented to detect and classify different electrocardiogram (ECG) noises including baseline wander (BW), muscle artefact (MA), power line interference (PLI) and additive white Gaussian noise (AWGN) based on signal ...
Pramendra Kumar, Vijay Kumar Sharma
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Current Trend of Accreditation within Medical Education [PDF]

, 2020
Currently, accreditation within medical education is a priority on the agenda for many countries worldwide. The World Federation for Medical Education’s (WFME) launch of its first trilogy of standards in 2003 was a seminal event in promoting ...
Korean Medical Education Review (의학교육논단)
core   +1 more source

Low power millimeter wave radar system for the visually impaired

The Journal of Engineering, 2019
In order to help visually impaired people to avoid obstacles, a K-band millimetre wave (MMW) radar system based on the principle of frequency-modulated continuous wave (FMCW) is proposed in this study.
Ningbo Long, Kaiwei Wang, Ruiqi Cheng, Weijian Hu, Kailun Yang   +4 more
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Detection of Drug-Induced Thrombocytopenia Signals in Children Using Routine Electronic Medical Records [PDF]

Frontiers in Pharmacology, 2021
Background: Drug-induced thrombocytopenia (DITP) is a severe adverse reaction and a significantly under-recognized clinical problem in children. However, for post-marketing pharmacovigilance purposes, detection of DITP signals is crucial. This study aimed to develop a signal detection model for DITP using the pediatric electronic medical records (EMR ...
Xiaolu Nie, Xiaolu Nie, Lulu Jia, Xiaoxia Peng, Houyu Zhao, Yuncui Yu, Zhenping Chen, Liqiang Zhang, Xiaoling Cheng, Yaqi Lyu, Wang Cao, Xiaoling Wang, Xin Ni, Siyan Zhan, Siyan Zhan   +14 more
openaire   +3 more sources

Fault Detection of Gearbox from Inverter Signals Using Advanced Signal Processing Techniques [PDF]

, 2012
The gear faults are time-localized transient events so time-frequency analysis techniques (such as the Short-Time Fourier Transform, Wavelet Transform, motor current signature analysis) are widely used to deal with non-stationary and nonlinear signals ...
Gu, Fengshou, Pislaru, Crinela, Ball, Andrew, Lane, Mark, Ball, A. D., Gu, F., Pislaru, C., Lane, M.   +7 more
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Biopotential acquisition unit for energy-efficient wearable health monitoring

IET Cyber-Physical Systems, 2018
In wearable health monitoring system, the energy consumption is dominated by the transmitter. These systems generally use proprietary acquisition platforms that are incompatible with each other which makes this even more challenging.
Wazir Singh, Sujay Deb
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SeizureNet: a model for robust detection of epileptic seizures based on convolutional neural network

Cognitive Computation and Systems, 2020
Epilepsy is a neurological disorder and generally detected by electroencephalogram (EEG) signals. The manual inspection of epileptic seizures is a time-consuming and laborious process.
Wei Zhao, Wenfeng Wang, Wenfeng Wang
doaj   +1 more source