Biomedical Sensors for Functional Mapping: Techniques, Methods, Experimental and Medical Applications

Biomedical sensors stand at the forefront of modern medical technologies, serving as indispensable components in diverse instruments and equipment. These sensors unravel the intricacies of biological processes and medical interventions. The recent surge in high-density sensor systems, characterized...

Full description

Saved in:
Bibliographic Details
Other Authors: Mastropietro, Alfonso (Editor), Scano, Alessandro (Editor), Rivolta, Massimo W. (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000naaaa2200000uu 4500
001 doab_20_500_12854_132463
005 20240108
003 oapen
006 m o d
007 cr|mn|---annan
008 20240108s2023 xx |||||o ||| 0|eng d
020 |a books978-3-0365-9824-6 
020 |a 9783036598239 
020 |a 9783036598246 
040 |a oapen  |c oapen 
024 7 |a 10.3390/books978-3-0365-9824-6  |c doi 
041 0 |a eng 
042 |a dc 
072 7 |a TB  |2 bicssc 
072 7 |a TBX  |2 bicssc 
100 1 |a Mastropietro, Alfonso  |4 edt 
700 1 |a Scano, Alessandro  |4 edt 
700 1 |a Rivolta, Massimo W.  |4 edt 
700 1 |a Mastropietro, Alfonso  |4 oth 
700 1 |a Scano, Alessandro  |4 oth 
700 1 |a Rivolta, Massimo W.  |4 oth 
245 1 0 |a Biomedical Sensors for Functional Mapping: Techniques, Methods, Experimental and Medical Applications 
260 |a Basel  |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2023 
300 |a 1 electronic resource (254 p.) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a Biomedical sensors stand at the forefront of modern medical technologies, serving as indispensable components in diverse instruments and equipment. These sensors unravel the intricacies of biological processes and medical interventions. The recent surge in high-density sensor systems, characterized by arrangements in matrix arrays and other configurations, has ushered in a new era of functional evaluation. This spans electrophysiological activity, the metabolic responses of organs and tissues, and motor control analysis, all enriched with crucial spatial information. Functional mapping, a burgeoning approach in various biomedical techniques such as EEG, EMG, ECG, NIRS, and MEG, is proving to be transformative. Its integration enhances our comprehension of complex biological behaviors, where the precise spatial localization of sensing methodologies becomes paramount. The applications of functional mapping using biomedical sensors extend across multiple fields, including neuroscience, neuromuscular physiology, rehabilitation, and cardiology. Its utility ranges from diagnostic purposes to assessing the effectiveness of therapeutic interventions. The primary objective of this reprint was to collect papers that delineate the forefront of techniques, methods, and applications in the realm of biomedical sensors. Additionally, the focus extends to specific algorithms for data processing, ensuring a robust understanding of functional information intricately associated with spatial localization. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by/4.0/ 
546 |a English 
650 7 |a Technology: general issues  |2 bicssc 
650 7 |a History of engineering & technology  |2 bicssc 
653 |a EMG 
653 |a EEG 
653 |a rehabilitation 
653 |a neuromotor 
653 |a evaluation 
653 |a assessment 
653 |a review 
653 |a machine learning 
653 |a biofeedback 
653 |a transfer learning 
653 |a random forest classifier 
653 |a COVID-19 
653 |a intubation 
653 |a tracheoesophageal fistula 
653 |a tracheal lesions 
653 |a acute respiratory distress syndrome 
653 |a modeling 
653 |a intensive care unit 
653 |a muscle synergies 
653 |a whole body FES 
653 |a neurological patients 
653 |a photodynamic therapy 
653 |a fluorescence 
653 |a laser 
653 |a fluorophores 
653 |a enamel 
653 |a effective connectivity 
653 |a kurtosis 
653 |a resting-state connectivity 
653 |a stationarity 
653 |a sleep monitoring 
653 |a pressure bed sensor (PBS) 
653 |a unobtrusive measure 
653 |a multi-scale analysis 
653 |a sleep apnea-hypopnea syndrome (SAHS) 
653 |a shift-working 
653 |a optically detected magnetic resonance 
653 |a quantum magnetometer 
653 |a magnetoencephalography 
653 |a time domain 
653 |a functional near infrared spectroscopy 
653 |a diffuse optics 
653 |a brain 
653 |a hemodynamics 
653 |a resting-state brain oscillation 
653 |a mental workload 
653 |a signal processing 
653 |a reliability 
653 |a cognitive performance 
653 |a Simon task 
653 |a emotion detection 
653 |a valence 
653 |a arousal 
653 |a wearable sensors 
653 |a regression 
653 |a classification 
653 |a technology acceptance model 
653 |a rehabilitation exoskeletons 
653 |a therapists 
653 |a neuro-rehabilitation 
653 |a multiple linear regression 
653 |a Pearson's correlation 
653 |a integrated sensor systems 
653 |a hand function 
653 |a hand osteoarthritis 
653 |a electromyography 
653 |a diagnosis 
653 |a discriminant analysis 
653 |a photoplethysmogram 
653 |a microcirculation 
653 |a deep learning 
653 |a convolutional neural network 
653 |a modelling 
653 |a n/a 
856 4 0 |a www.oapen.org  |u https://mdpi.com/books/pdfview/book/8503  |7 0  |z DOAB: download the publication 
856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/132463  |7 0  |z DOAB: description of the publication