Results 201 to 210 of about 154,354 (268)

Uncertainty-Aware Probabilistic Fusion Post-Processing for Continuous Wrist Motion Estimation in Myoelectric Control. [PDF]

Sensors (Basel)
Feng S, Xu G, Li Y.
europepmc   +1 more source

A Physics-Grounded Multi-Modal Sensor Fusion Framework for Pedestrian Impact Kinematic Reconstruction Under Uncertainty: Phase 1 Design and Theoretical Evaluation. [PDF]

Sensors (Basel)
Barua N, Hitosugi M.
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Anti-vibration method for sensing ring of fiber optical current transformer integrating structural design and adaptive signal processing. [PDF]

PLoS One
Cheng L, Luo J, Si W, Han Y, Zuo K, Sun H, Niu B, Ren S.   +7 more
europepmc   +1 more source

A Deep Neural Network Based on Two-Stage Training for Estimating Heart Rate Variability From Camera Videos. [PDF]

Health Care Sci
Lan L, Yin J, Zhang H, Jiang H, Qin R, Zhao X, Zhang Y, Wang Y, Qiu J.   +8 more
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Hybrid Feature Learning for Wearable Stress Detection: Combining Domain Knowledge with Supervised Deep Learning. [PDF]

Sensors (Basel)
Birkenmaier D, Kanuganti SR, Stork W.
europepmc   +1 more source

Self-supervised Deep Learning for Denoising in Ultrasound Microvascular Imaging. [PDF]

Biomed Signal Process Control
Huang L, Yin J, Zhang J, Lok UW, DeRuiter RM, Jin J, Knoll KM, Petersen KE, Krier JD, Zhu XY, Hesley GK, Robinson KA, Bentall AJ, Atwell TD, Rule AD, Lerman LO, Chen S, Huang C.   +17 more
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Vortex signal model based Kalman filter of vortex signal processing method

Review of Scientific Instruments, 2022
To improve the performance of the vortex flowmeter, a vortex signal model based Kalman filter of the vortex signal processing method is proposed. According to the characteristics of the vortex signal, a linear vortex signal model is designed. Combining the fuzzy search and iterative algorithm, the Kalman filter algorithm is improved by analyzing the ...
Jie Chen, Zhen-Yu Hou, Bin Li, Si-Cheng Wang   +3 more
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Neural filtering method for stationary signal processes

Artificial Life and Robotics, 1997
In this paper a new method of neural filtering using artificial neural network systems is presented for the filtering problems of linear and nonlinear, stationary and nonstationary stochastic signals. The neural filter (denoted neurofilter) developed in this paper has either finite impulse response (FIR) structure or infinite impulse response (IIR ...
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A Preferable Method on Digital Filter in ECG Signal's Processing Based on FPGA

2010 Third International Symposium on Intelligent Information Technology and Security Informatics, 2010
Digital filter is one of the most important components in electrocardiogram (ECG) signal’s processing. This research method combined Fast Fourier Transform (FFT) & Wavelet Threshold De-noising (WTD) to meet the demand that the ECG signal’s sampling and processing must be exact, real-time and steady. Meanwhile, the high performance of Field Programmable
Nianqiang Li, Yongbing Wang, Guoyi Zhao
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Robust, Automated Methods for Filtering and Processing Neural Signals

2013
This dissertation presents novel tools for robust filtering and processing of neural signals. These tools improve upon existing methods and were shown to be effective under a variety of conditions. They are also simple to use, allowing researchers and clinicians to focus more time on the analysis of neural data and making many tasks accessible to non ...
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