Results 21 to 30 of about 1,572,835 (188)
Ultra-Wideband Radar-Based Indoor Activity Monitoring for Elderly Care
Sensors, 2021 In this paper, we propose an unobtrusive method and architecture for monitoring a person’s presence and collecting his/her health-related parameters simultaneously in a home environment.
Matti Hämäläinen +6 more
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Explainable artificial intelligence for heart rate variability in ECG signal
Healthcare Technology Letters, 2020 Electrocardiogram (ECG) signal is one of the most reliable methods to analyse the cardiovascular system. In the literature, there are different deep learning architectures proposed to detect various types of tachycardia diseases, such as atrial ...
Sanjana K. +4 more
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Sensors, 2021 The automated quantification of the behaviour of freely moving animals is increasingly needed in applied ethology. State-of-the-art approaches often require tags to identify animals, high computational power for data collection and processing, and are ...
Alexandre Dore +9 more
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A real time classification algorithm for EEG-based BCI driven by self-induced emotions [PDF]
, 2015 Background and objective: The aim of this paper is to provide an efficient, parametric, general, and completely automatic real time classification method of electroencephalography (EEG) signals obtained from self-induced emotions.
IACOVIELLO, Daniela +3 more
core +1 more source
ECG Signal Classification Review
IJITEE (International Journal of Information Technology and Electrical Engineering), 2021 The heart is an important part of the human body, functioning to pump blood through the circulatory system. Heartbeats generate a signal called an ECG signal. ECG signals or electrocardiogram signals are basic raw signals to identify and classify heart function based on heart rate. Its main task is to analyze each signal in the heart, whether normal or
Fikri, Muhammad Rausan +2 more
openaire +3 more sources
Radiometric Identification of Signals by Matched Whitening Transform
Sensors, 2021 Radiometric identification is the problem of attributing a signal to a specific source. In this work, a radiometric identification algorithm is developed using the whitening transformation.
Bijan G. Mobasseri, Amro Lulu
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Underwater Target Signal Classification Using the Hybrid Routing Neural Network
Sensors, 2021 In signal analysis and processing, underwater target recognition (UTR) is one of the most important technologies. Simply and quickly identify target types using conventional methods in underwater acoustic conditions is quite a challenging task.
Xiao Cheng, Hao Zhang
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Classification of ultrasonic signals [PDF]
International Journal of Materials and Product Technology, 2006 In ultrasonic non-destructive testing it is very difficult to detect flaws in materials with coarse-grain structure. The ultrasonic signals measured on these materials contain echoes which are very similar to fault echoes. These echoes arise from grains which are contained in the material.
Vaclav Matz +2 more
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Target classification using Renyi entropy features of cyclic bispectrum
The Journal of Engineering, 2019 In this study, a target classification method is proposed based on a third-order cyclic statistics technique. The authors introduce cyclic bispectrum (CBS) to reveal the non-linear cyclic nature contained by the micro-Doppler signal, and it is observed ...
Cai Wang, Yan Li, Meiguo Gao
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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 +5 more
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