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Though there have been many developments in sensory/motor prosthetics, they have not yet reached the level of standard and worldwide use like pacemakers and cochlear implants. One challenging issue in motor prosthetics is the large variety of patient situations, which depending on the type of neurological disorder. To improve neuroprosthetic performance beyond the current limited use of such systems, robust bio-signal processing and model-based control involving actual sensory motor state (with biosignal feedback) would bring about new modalities and applications, and could be a breakthrough toward adaptive neuroprosthetics. Recent advances of Brain Computer Interfaces (BCI) now enable patients to transmit their intention of movement. However, the functionality and controllability of motor prosthetics itself can be further improved to take advantage of BCI interfaces. In this Research Topic we welcome contribution of original research articles, computational and experimental studies, review articles, and methodological advances related to biosignal processing that may enhance the functionality of sensory motor neuroprosthetics. The scope of this topic includes, but is not limited to, studies aimed at enhancing: 1) computational biosignal processing in EMG (Electromyography), EEG (Electroencephalography), and other modalities of biofeedback information; 2) the computational method in modeling and control of sensory motor neuroprosthetics; 3) the systematic functionality aiming to provide solutions for specific pathological movement disorders; 4) human interfaces such as BCI - but in the case of BCI study, manuscripts should be experimental studies which are applied to sensory/motor neuroprosthetics in patients with motor disabilities.
Biosignal processing. --- Neuroprosthetics. --- Brain-computer interface --- neuroprosthetics --- Electromyography --- Electroencephalography --- Neurorehabilitation
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Though there have been many developments in sensory/motor prosthetics, they have not yet reached the level of standard and worldwide use like pacemakers and cochlear implants. One challenging issue in motor prosthetics is the large variety of patient situations, which depending on the type of neurological disorder. To improve neuroprosthetic performance beyond the current limited use of such systems, robust bio-signal processing and model-based control involving actual sensory motor state (with biosignal feedback) would bring about new modalities and applications, and could be a breakthrough toward adaptive neuroprosthetics. Recent advances of Brain Computer Interfaces (BCI) now enable patients to transmit their intention of movement. However, the functionality and controllability of motor prosthetics itself can be further improved to take advantage of BCI interfaces. In this Research Topic we welcome contribution of original research articles, computational and experimental studies, review articles, and methodological advances related to biosignal processing that may enhance the functionality of sensory motor neuroprosthetics. The scope of this topic includes, but is not limited to, studies aimed at enhancing: 1) computational biosignal processing in EMG (Electromyography), EEG (Electroencephalography), and other modalities of biofeedback information; 2) the computational method in modeling and control of sensory motor neuroprosthetics; 3) the systematic functionality aiming to provide solutions for specific pathological movement disorders; 4) human interfaces such as BCI - but in the case of BCI study, manuscripts should be experimental studies which are applied to sensory/motor neuroprosthetics in patients with motor disabilities.
Biosignal processing. --- Neuroprosthetics. --- Brain-computer interface --- neuroprosthetics --- Electromyography --- Electroencephalography --- Neurorehabilitation
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Though there have been many developments in sensory/motor prosthetics, they have not yet reached the level of standard and worldwide use like pacemakers and cochlear implants. One challenging issue in motor prosthetics is the large variety of patient situations, which depending on the type of neurological disorder. To improve neuroprosthetic performance beyond the current limited use of such systems, robust bio-signal processing and model-based control involving actual sensory motor state (with biosignal feedback) would bring about new modalities and applications, and could be a breakthrough toward adaptive neuroprosthetics. Recent advances of Brain Computer Interfaces (BCI) now enable patients to transmit their intention of movement. However, the functionality and controllability of motor prosthetics itself can be further improved to take advantage of BCI interfaces. In this Research Topic we welcome contribution of original research articles, computational and experimental studies, review articles, and methodological advances related to biosignal processing that may enhance the functionality of sensory motor neuroprosthetics. The scope of this topic includes, but is not limited to, studies aimed at enhancing: 1) computational biosignal processing in EMG (Electromyography), EEG (Electroencephalography), and other modalities of biofeedback information; 2) the computational method in modeling and control of sensory motor neuroprosthetics; 3) the systematic functionality aiming to provide solutions for specific pathological movement disorders; 4) human interfaces such as BCI - but in the case of BCI study, manuscripts should be experimental studies which are applied to sensory/motor neuroprosthetics in patients with motor disabilities.
Biosignal processing. --- Neuroprosthetics. --- Brain-computer interface --- neuroprosthetics --- Electromyography --- Electroencephalography --- Neurorehabilitation
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Based on physiological data, intelligent algorithms can assist with the classification and recognition of the most severely impaired victims. This book presents a new sensorbased triage platform with the main proposal to join different sensor and communications technologies into a portable device. This new device must be able to assist the rescue units along with the tactical planning of the operation. This work discusses the implementation and the evaluation of the platform.
Biosignalverarbeitung --- Biosensoren --- wearable device --- ad-hoc networks --- emergency response --- Notfallmanagement --- biosignal --- biosensors --- Ad-hoc Netzwerk --- tragbares Gerät
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The main objective of this book is to analyse and detect small changes in ECG waves and complexes that indicate cardiac diseases and disorders. Detecting predisposition to Torsade de Points (TDP) by analysing the beat-to-beat variability in T wave morphology is the main core of this work. The second main topic is detecting small changes in QRS complex and predicting future QRS complexes of patients. Moreover, the last main topic is clustering similar ECG components in different groups.
Wavelet --- TdP --- Baseline Wander --- ECG --- Torsade de Points --- Feature Extraction --- Biosignal Pr --- Multi-Channel ECG --- Principal Component Analysis --- PCA
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Cellular signal transduction --- Cell receptors --- Signal transduction --- Cell interaction --- Transduction du signal cellulaire --- Récepteurs cellulaires --- Cellules --- Periodicals. --- Périodiques --- Interaction --- Synaptic Transmission. --- Signal Transduction. --- Cell receptors. --- Cellular signal transduction. --- Neurophysiologie. --- Biosignal. --- Rezeptor. --- Receptors, Cell Surface --- Cell Communication --- Cell Interaction --- Cell-to-Cell Interaction --- Cell Communications --- Cell Interactions --- Cell to Cell Interaction --- Cell-to-Cell Interactions --- Communication, Cell --- Communications, Cell --- Interaction, Cell --- Interaction, Cell-to-Cell --- Interactions, Cell --- Interactions, Cell-to-Cell --- Cell Surface Hormone Receptors --- Endogenous Substances Receptors --- Cell Surface Receptors --- Hormone Receptors, Cell Surface --- Receptors, Endogenous Substances --- Binding Sites --- Hormones --- Ligands --- Receptor Cross-Talk --- Transmission, Neural --- Transmission, Synaptic --- Neural Transmission --- Neurotransmission --- Neural Conduction --- Synapses --- Receptor Mediated Signal Transduction --- Signal Transduction Pathways --- Signal Transduction Systems --- Receptor-Mediated Signal Transduction --- Signal Pathways --- Pathway, Signal --- Pathway, Signal Transduction --- Pathways, Signal --- Pathways, Signal Transduction --- Receptor-Mediated Signal Transductions --- Signal Pathway --- Signal Transduction Pathway --- Signal Transduction System --- Signal Transduction, Receptor-Mediated --- Signal Transductions --- Signal Transductions, Receptor-Mediated --- System, Signal Transduction --- Systems, Signal Transduction --- Transduction, Signal --- Transductions, Signal --- Receptor-CD3 Complex, Antigen, T-Cell --- Feedback, Physiological --- Gasotransmitters --- Periodicals --- Chemistry --- Health Sciences --- Life Sciences --- Biochemistry --- Neurology --- Physiology --- neurobiology --- pharmacology --- cell biology --- neuroendocrinology --- neurology --- Nervenphysiologie --- Nervensystem --- Cell membrane receptors --- Cell surface receptors --- Receptors, Cell --- Cellular information transduction --- Information transduction, Cellular --- Signal transduction, Cellular --- Physiologie --- Signal Transduction --- Synaptic Transmission --- Neurologie --- Hirnforschung --- Binding sites (Biochemistry) --- Cell membranes --- Proteins --- Bioenergetics --- Cellular control mechanisms --- Information theory in biology --- Cell Signaling --- Cell Surface Receptor --- Receptor, Cell Surface --- Surface Receptor, Cell --- Neurophysiologie --- Biosignal --- Rezeptor --- Neural transmission. --- Transmission nerveuse. --- Transduction du signal cellulaire. --- Nerve transmission --- Nervous transmission --- Synaptic transmission --- Transmission of nerve impulses --- Neural circuitry --- Neurophysiology --- Neurotransmitters
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