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Signal Processing Using Non-invasive Physiological Sensors

Non-invasive biomedical sensors for monitoring physiological parameters from the human body for potential future therapies and healthcare solutions. Today, a critical factor in providing a cost-effective healthcare system is improving patients' quality of life and mobility, which can be achieve...

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Bibliographic Details
Main Author: Niazi, Imran Khan
Other Authors: Naseer, Noman, Santosa, Hendrik
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Machine Learning
Neurorehabilitation
Feature Selection And Reduction
Ecg Derived Respiration (edr)
Brain-computer Interface
Electroencephalogram (eeg)
Medical Equipment And Techniques / Bicssc
Response
Support Vector Machines
Empirical Mode Decomposition
Acoustic
Image Processing
Phonocardiogram
Channel Of Interest
Amr Voice
Biomedical Signal Processing
Reaction
Ecg
Z-score Method
Multiscale Principal Component Analysis
Eye Blink
Deep Neural Network
Myoelectric Control
Mental Imagery
Successive Decomposition Index
Congenital Heart Disease
Reflex
Computer Aided Diagnosis
Raspberry Pi
Respiratory Rate (rr)
Human Machine Interface (hmi)
Motor Imagery
Short-time Fourier Transform (stft)
Electroencephalography
Emotion Recognition
Feature Extraction
Movement Intention
Electrocardiogram (ecg)
Auscultation Sites
Steady-state Visually Evoked Potential (ssvep)
Long Short-term Memory (lstm)
Hypertension
Convolution Neural Network (cnn)
Discrete Wavelet Transform
Rehabilitation
Sound
Pulse Plethysmograph
Emg
Image Gradient
Region Of Interest
Eeg
Channel Selection
Blink
Quadriplegia
Stroke
Hybrid Brain-computer Interface (bci)
Physiological Signals
Home Automation
Startle
Gsr
Classification
Convolutional Neural Network (cnn)
Mobile
Statistical Analysis
Pattern Recognition
Open-cv
Movement-related Cortical Potential
Functional Near-infrared Spectroscopy
Mel-frequency Cepstral Coefficients
Wheelchair
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:Non-invasive biomedical sensors for monitoring physiological parameters from the human body for potential future therapies and healthcare solutions. Today, a critical factor in providing a cost-effective healthcare system is improving patients' quality of life and mobility, which can be achieved by developing non-invasive sensor systems, which can then be deployed in point of care, used at home or integrated into wearable devices for long-term data collection. Another factor that plays an integral part in a cost-effective healthcare system is the signal processing of the data recorded with non-invasive biomedical sensors. In this book, we aimed to attract researchers who are interested in the application of signal processing methods to different biomedical signals, such as an electroencephalogram (EEG), electromyogram (EMG), functional near-infrared spectroscopy (fNIRS), electrocardiogram (ECG), galvanic skin response, pulse oximetry, photoplethysmogram (PPG), etc. We encouraged new signal processing methods or the use of existing signal processing methods for its novel application in physiological signals to help healthcare providers make better decisions.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (222 p.)
ISBN:books978-3-0365-3719-1
9783036537191
9783036537207

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