04971nam 2201237z- 450 991056647390332120220506(CKB)5680000000037640(oapen)https://directory.doabooks.org/handle/20.500.12854/81209(oapen)doab81209(EXLCZ)99568000000003764020202205d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierSignal Processing Using Non-invasive Physiological SensorsBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (222 p.)3-0365-3720-1 3-0365-3719-8 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.Medical equipment and techniquesbicsscacousticAMR voiceauscultation sitesbiomedical signal processingblinkbrain-computer interfacebrain-computer interfaceBrain-Computer Interfacechannel of interestchannel selectionclassificationcomputer aided diagnosiscongenital heart diseaseconvolution neural network (CNN)convolutional neural network (CNN)deep neural networkdiscrete wavelet transformECGECG derived respiration (EDR)EEGElectrocardiogram (ECG)electroencephalogram (EEG)electroencephalographyEMGemotion recognitionempirical mode decompositioneye blinkfeature extractionfeature selection and reductionfunctional near-infrared spectroscopyGSRhome automationhuman machine interface (HMI)hybrid brain-computer interface (BCI)hypertensionimage gradientimage processinglong short-term memory (LSTM)machine learningmel-frequency cepstral coefficientsmental imagerymobilemotor imagerymovement intentionmovement-related cortical potentialmultiscale principal component analysismyoelectric controlneurorehabilitationOpen-CVpattern recognitionphonocardiogramphysiological signalspulse plethysmographquadriplegiaRaspberry Pireactionreflexregion of interestrehabilitationrespiratory rate (RR)responseshort-time Fourier transform (STFT)soundstartlestatistical analysissteady-state visually evoked potential (SSVEP)strokesuccessive decomposition indexsupport vector machineswheelchairz-score methodMedical equipment and techniquesNiazi Imran Khanedt1314109Naseer NomanedtSantosa HendrikedtNiazi Imran KhanothNaseer NomanothSantosa HendrikothBOOK9910566473903321Signal Processing Using Non-invasive Physiological Sensors3031716UNINA