Results 21 to 30 of about 5,699,484 (294)

EEG-Based Seizure Detection Using Variable-Frequency Complex Demodulation and Convolutional Neural Networks

Signals, 2023
Epilepsy is a complex neurological disorder characterized by recurrent and unpredictable seizures that affect millions of people around the world. Early and accurate epilepsy detection is critical for timely medical intervention and improved patient ...
Yedukondala Rao Veeranki, Riley McNaboe, Hugo F. Posada-Quintero   +2 more
doaj   +1 more source

Time frequency analysis of olfactory induced EEG-power change. [PDF]

PLoS ONE, 2017
The objective of the present study was to investigate the usefulness of time-frequency analysis (TFA) of olfactory-induced EEG change with a low-cost, portable olfactometer in the clinical investigation of smell function.A total of 78 volunteers ...
Valentin Alexander Schriever, Pengfei Han, Stefanie Weise, Franziska Hösel, Robert Pellegrino, Thomas Hummel   +5 more
doaj   +1 more source

Radar Detection-Inspired Signal Retrieval from the Short-Time Fourier Transform

Sensors, 2022
This paper presents a novel adaptive algorithm for multicomponent signal decomposition from the time–frequency (TF) plane using the short-time Fourier transform (STFT).
Karol Abratkiewicz
doaj   +1 more source

Fine Classification Method for Massive Microseismic Signals Based on Short-Time Fourier Transform and Deep Learning

Remote Sensing, 2023
Numerous microseismic signals are produced by rock mass fracture during earthquakes, geological disasters, or underground excavations. Moreover, a large amount of noise signals are captured during microseismic signal monitoring.
Chunchi Ma, Xuefeng Ran, Weihao Xu, Wenjin Yan, Tianbin Li, Kunkun Dai, Jiangjun Wan, Yu Lin, Ke Tong   +8 more
doaj   +1 more source

Micro-Doppler Feature Extraction of Rotating Structures of Aircraft Targets with Terahertz Radar

Remote Sensing, 2022
The micro-Doppler features formed by the micro-motion of rotating blades of rotors and turbines are of great significance for aircraft target detection and recognition.
Xiaoyu Qin, Bin Deng, Hongqiang Wang
doaj   +1 more source

Borneo Lute ‘Sape’: The Frequency Spectrum and Time Frequency Analysis (TFA)

BioResources, 2023
Sound elements were studied for a six strings sape, a traditional instrument. The frequency was evaluated using a frequency spectrum and a time frequency plane. PicoScope oscilloscopes and Adobe Audition version 3 were used to record the acoustic spectra.
Sinin Hamdan, Khairul Anwar Mohamad Said, Md Rezaur Rahman, Marini Sawawia, Aaliyawani Ezzerin Sinin   +4 more
doaj   +2 more sources

Carcinomas and Carcinoid Tumors of the Lungs and Bronchi in Children and Adolescents: The EXPeRT Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele, Calogero Virgone, Michaela Kuhlen, Sabine Irtan, Yves Reguerre, Malgorzata Krawczyk, Ewa Bien, Tal Ben‐Ami, Maja Cesen, Ricardo Lopez‐Almaraz, Andrea Ferrari, Gianni Bisogno, Dominik T. Schneider, Abbas Agaimy, Constantin Lapa, Hubert Ducou le Pointe, Rainer Claus, Catherine Daniel, Ines B. Brecht, Daniel Orbach   +19 more
wiley   +1 more source

Adaptive noise cancelling and time–frequency techniques for rail surface defect detection [PDF]

, 2015
Adaptive noise cancelling (ANC) is a technique which is very effective to remove additive noises from the contaminated signals. It has been widely used in the fields of telecommunication, radar and sonar signal processing.
Liang, B., Young, Andrew E, Ball, Andrew, Liang, Bo, A. Ball, Young, A. E., Young, A.E., A.E. Young, Ball, A., S. Iwnicki, Iwnicki, S., B. Liang   +11 more
core   +1 more source

Health‐Related Quality of Life and Symptom Severity Among Patients With PIK3CA‐Related Overgrowth Spectrum: A Mixed‐Methods Study to Understand Real‐World Experience With Alpelisib Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu, Kaitlin LaGasse, Cory D. Saucier, Kimberly Raymond, Miranda Lauher‐Charest, Lauren Crowder, Beilei Cai, Mary Lisha Paul, Denise Adams   +8 more
wiley   +1 more source

A 1D Cascaded Denoising and Classification Framework for Micro-Doppler-Based Radar Target Recognition

Remote Sensing
Micro-Doppler signatures play a crucial role in capturing target features for the radar classification task, and the time–frequency distribution method is widely used to represent micro-Doppler signatures in many applications including human activities ...
Beili Ma, Baixiao Chen
doaj   +1 more source