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Data Analytics and Applications of the Wearable Sensors in Healthcare
| Data Analytics and Applications of the Wearable Sensors in Healthcare |
| Autore | Syed Abdul Shabbir |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (498 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
eHealth
wearable monitoring services integration IoT Telemedicine wearable sensors multivariate analysis longitudinal study functional decline exercise intervention accidental falls fall detection real-world signal analysis performance measures non-wearable sensors accelerometers cameras machine learning smart textiles healthcare talking detection activity recognition and monitoring patient health and state monitoring wearable sensing orientation-invariant sensing motion sensors accelerometer gyroscope magnetometer pattern classification artificial intelligence supervised machine learning predictive analytics hemodialysis non-contact sensor heart rate respiration rate heart rate variability time-domain features frequency-domain features principal component analysis behaviour analysis classifier efficiency personal risk detection one-class classification actigraphy encoding data compression denoising edge computing signal processing wearables activity monitoring citizen science cluster analysis physical activity sedentary behavior walking energy expenditure wearable device impedance pneumography neural network mechanocardiogram (MCG) smart clothes heart failure (HF) left ventricular ejection fraction (LVEF) technology acceptance model (TAM) physical activity classification free-living GENEactiv accelerometer Gaussian mixture model hidden Markov model wavelets skill assessment deep learning LSTM state space model probabilistic inference latent features human activity recognition MIMU genetic algorithm feature selection classifier optimization bispectrum entropy feature extraction heat stroke filtering algorithm physiological parameters exercise experiment biomedical signal processing wearable biomedical sensors wireless sensor network respiratory monitoring optoelectronic plethysmography biofeedback biomedical technology exercise therapy orthopedics mobile health qualitative human factors inertial measurement unit disease prevention occupational healthcare P-Ergonomics precision ergonomics musculoskeletal disorders wellbeing at work electrocardiogram conductive gels noncontact electrode myocardial ischemia pacemaker ventricular premature contraction upper extremity motion action research arm test activities of daily living IoT wearable monitor health posture analysis spinal posture wearable sensor embedded system recurrent neural networks physical workload wearable systems for healthcare machine learning for real-time applications actigraph body worn sensors clothing sensors cross correlation analysis healthcare movement sensing wearable devices calibration inertial measurement units human movement physical activity type real-life GPS GIS |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557288603321 |
Syed Abdul Shabbir
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Emerging technologies to promote and evaluate physical activity / / topic editors Dan J. Graham, James Aaron Hipp,Simon Marshall and Jacqueline Kerr
| Emerging technologies to promote and evaluate physical activity / / topic editors Dan J. Graham, James Aaron Hipp,Simon Marshall and Jacqueline Kerr |
| Autore | Jacqueline Kerr |
| Pubbl/distr/stampa | Frontiers Media SA, 2014 |
| Descrizione fisica | 1 online resource (140 pages) : illustrations |
| Disciplina | 612/.044 |
| Collana | Frontiers Research Topics |
| Soggetto topico |
Physiology
Human Anatomy & Physiology Health & Biological Sciences |
| Soggetto non controllato |
Interventions
built environment accelerometers Emerging technology smartphone app GPS Online Global Positioning Systems physical activity |
| ISBN | 9782889192984 (ebook) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910137204403321 |
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Jacqueline Kerr
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| Frontiers Media SA, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Emerging Technology Applications to Promote Physical Activity and Health
| Emerging Technology Applications to Promote Physical Activity and Health |
| Autore | Lee Jung Eun |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (176 p.) |
| Soggetto non controllato |
virtual reality
Amazon Web Services wrist-worn activity tracker sex difference motor skill competence mental health physical activity assessment mHealth augmented reality musculoskeletal fitness health navigator Google Glass cardiorespiratory fitness fitness safety moderate-to-vigorous physical activity young children serious games autism spectrum disorder physical exercise locomotor skills active video game air quality app perceived environmental factor motor activity active video gaming anxiety digital health narrative review preoperative experience real-time physical activity quality of life smartglasses Amazon intelligence quotient mobile phone-based health intervention Korean American immigrant women Fitbits exercise epoch wearable technology measurement active video games preoperative anxiety sedentary behaviour mammogram sedentary behavior heart rate social cognitive theory senior citizens social communication breast cancer technology physical activity Autism accelerometry socio-ecological model light physical activity recreational physical activity screen based sedentary behavior accelerometers placement site virtual reality game pedometers object control skills depression physical activity levels |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346677803321 |
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Lee Jung Eun
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mechanical Loading and Bone
| Mechanical Loading and Bone |
| Autore | Jonathan H. Tobias |
| Pubbl/distr/stampa | Frontiers Media SA, 2016 |
| Descrizione fisica | 1 electronic resource (99 p.) |
| Collana | Frontiers Research Topics |
| Soggetto non controllato |
mechanical loading
bone architecture accelerometers osteoblast osteoporosis osteoclast fractures distraction osteogenesis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910136806303321 |
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Jonathan H. Tobias
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| Frontiers Media SA, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sensors for Gait, Posture, and Health Monitoring Volume 1
| Sensors for Gait, Posture, and Health Monitoring Volume 1 |
| Autore | Lockhart Thurmon |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (410 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
step detection
machine learning outlier detection transition matrices autoencoders ground reaction force (GRF) micro electro mechanical systems (MEMS) gait walk bipedal locomotion 3-axis force sensor shoe force distribution multi-sensor gait classification distributed compressed sensing joint sparse representation classification telemonitoring of gait operating range accelerometer stride length peak tibial acceleration running velocity wearable sensors feedback technology rehabilitation motor control cerebral palsy inertial sensors gait events spatiotemporal parameters postural control falls in the elderly fall risk assessment low-cost instrumented insoles foot plantar center of pressure flexible sensor gait recognition piezoelectric material wearable adaptability force sensitive resistors self-tuning triple threshold algorithm sweat sensor sweat rate dehydration IoT PDMS surface electromyography handgrip force force-varying muscle contraction nonlinear analysis wavelet scale selection inertial measurement unit gyroscope asymmetry feature extraction gait analysis lower limb prosthesis trans-femoral amputee MR damper knee damping control inertial measurement units motion analysis kinematics functional activity repeatability reliability biomechanics cognitive frailty cognitive-motor impairment Alzheimer's disease motor planning error instrumented trail-making task ankle reaching task dual task walking nondestructive joint moment partial weight loading muscle contributions sit-to-stand training motion parameters step length self-adaptation Parkinson's disease (PD) tremor dominant (TD) postural instability and gait difficulty (PIGD) center of pressure (COP) fast Fourier transform (FFT) wavelet transform (WT) fall detection system smartphones accelerometers machine learning algorithms supervised learning ANOVA analysis Step-detection ActiGraph Pedometer acceleration physical activity physical function physical performance test chair stand sit to stand transfer wearables gyroscopes e-Health application physical rehabilitation shear and plantar pressure sensor biaxial optical fiber sensor multiplexed fiber Bragg gratings frailty pre-frail wearable sensor sedentary behavior moderate-to-vigorous activity steps fall detection elderly people monitoring telerehabilitation virtual therapy Kinect eHealth telemedicine insole injury prevention biomechanical gait variable estimation inertial gait variable total knee arthroplasty falls in healthy elderly fall prevention biometrics human gait recognition ground reaction forces Microsoft Kinect high heels fusion data ensemble classifiers accidental falls older adults neural networks convolutional neural network long short-term memory accelerometry obesity nonlinear electrostatic field sensing gait measurement temporal parameters artificial neural network propulsion aging walking smart footwear frailty prediction fall risk smartphone based assessments adverse post-operative outcome intelligent surveillance systems human fall detection health and well-being safety and security movement control anterior cruciate ligament kinetics real-time feedback biomechanical gait features impaired gait classification pattern recognition sensors clinical knee osteoarthritis shear stress callus woman TUG IMU geriatric assessment semi-unsupervised self-assessment domestic environment functional decline symmetry trunk movement autocorrelation gait rehabilitation wearable device IMU sensors gait classification stroke patients neurological disorders scanning laser rangefinders (SLR), GAITRite cadence velocity and stride-length power angular velocity human motion measurement sensor fusion complementary filter fuzzy logic inertial and magnetic sensors ESOQ-2 Parkinson's disease UPDRS movement disorders human computer interface RGB-Depth hand tracking automated assessment at-home monitoring Parkinson's Diseases motorized walker haptic cue gait pattern statistics study walk detection step counting signal processing plantar pressure flat foot insoles force sensors arch index sports analytics deep learning classification inertial sensor cross-country skiing classical style skating style batteryless strain sensor wireless strain sensor resonant frequency modulation Ecoflex human activity recognition smartphone human daily activity ensemble method running velocity smart shoe concussion inertial motion units (IMUs) vestibular exercises validation motion capture user intent recognition transfemoral prosthesis multi-objective optimization biogeography-based optimization smart cane weight-bearing health monitoring wearable/inertial sensors regularity variability human motion locomotion UPDRS tasks posture postural stability center of mass RGB-depth neurorehabilitation hallux abductus valgus high heel proximal phalanx of the hallux abduction valgus ultrasonography Achilles tendon diagnostic imaging tendinopathy foot insoles electromyography joint instability muscle contractions motorcycling wearable electronic devices validity relative movement lower limb prosthetics biomechanic measurement tasks quantifying socket fit rehabilitation exercise dynamic time warping automatic coaching exergame fine-wire intramuscular EMG electrode non-human primate model traumatic spinal cord injury wavelet transform relative power linear mixed model VO2 calibration MET VO2net speed equivalent speed free-living children adolescents adults gait event detection hemiplegic gait appropriate mother wavelet acceleration signal wavelet-selection criteria conductive textile stroke hemiparetic real-time monitoring lower limb locomotion activity triplet Markov model semi-Markov model on-line EM algorithm human kinematics phase difference angle |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557426503321 |
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Lockhart Thurmon
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sensors for Gait, Posture, and Health Monitoring Volume 2
| Sensors for Gait, Posture, and Health Monitoring Volume 2 |
| Autore | Lockhart Thurmon |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (392 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
step detection
machine learning outlier detection transition matrices autoencoders ground reaction force (GRF) micro electro mechanical systems (MEMS) gait walk bipedal locomotion 3-axis force sensor shoe force distribution multi-sensor gait classification distributed compressed sensing joint sparse representation classification telemonitoring of gait operating range accelerometer stride length peak tibial acceleration running velocity wearable sensors feedback technology rehabilitation motor control cerebral palsy inertial sensors gait events spatiotemporal parameters postural control falls in the elderly fall risk assessment low-cost instrumented insoles foot plantar center of pressure flexible sensor gait recognition piezoelectric material wearable adaptability force sensitive resistors self-tuning triple threshold algorithm sweat sensor sweat rate dehydration IoT PDMS surface electromyography handgrip force force-varying muscle contraction nonlinear analysis wavelet scale selection inertial measurement unit gyroscope asymmetry feature extraction gait analysis lower limb prosthesis trans-femoral amputee MR damper knee damping control inertial measurement units motion analysis kinematics functional activity repeatability reliability biomechanics cognitive frailty cognitive-motor impairment Alzheimer's disease motor planning error instrumented trail-making task ankle reaching task dual task walking nondestructive joint moment partial weight loading muscle contributions sit-to-stand training motion parameters step length self-adaptation Parkinson's disease (PD) tremor dominant (TD) postural instability and gait difficulty (PIGD) center of pressure (COP) fast Fourier transform (FFT) wavelet transform (WT) fall detection system smartphones accelerometers machine learning algorithms supervised learning ANOVA analysis Step-detection ActiGraph Pedometer acceleration physical activity physical function physical performance test chair stand sit to stand transfer wearables gyroscopes e-Health application physical rehabilitation shear and plantar pressure sensor biaxial optical fiber sensor multiplexed fiber Bragg gratings frailty pre-frail wearable sensor sedentary behavior moderate-to-vigorous activity steps fall detection elderly people monitoring telerehabilitation virtual therapy Kinect eHealth telemedicine insole injury prevention biomechanical gait variable estimation inertial gait variable total knee arthroplasty falls in healthy elderly fall prevention biometrics human gait recognition ground reaction forces Microsoft Kinect high heels fusion data ensemble classifiers accidental falls older adults neural networks convolutional neural network long short-term memory accelerometry obesity nonlinear electrostatic field sensing gait measurement temporal parameters artificial neural network propulsion aging walking smart footwear frailty prediction fall risk smartphone based assessments adverse post-operative outcome intelligent surveillance systems human fall detection health and well-being safety and security movement control anterior cruciate ligament kinetics real-time feedback biomechanical gait features impaired gait classification pattern recognition sensors clinical knee osteoarthritis shear stress callus woman TUG IMU geriatric assessment semi-unsupervised self-assessment domestic environment functional decline symmetry trunk movement autocorrelation gait rehabilitation wearable device IMU sensors gait classification stroke patients neurological disorders scanning laser rangefinders (SLR), GAITRite cadence velocity and stride-length power angular velocity human motion measurement sensor fusion complementary filter fuzzy logic inertial and magnetic sensors ESOQ-2 Parkinson's disease UPDRS movement disorders human computer interface RGB-Depth hand tracking automated assessment at-home monitoring Parkinson's Diseases motorized walker haptic cue gait pattern statistics study walk detection step counting signal processing plantar pressure flat foot insoles force sensors arch index sports analytics deep learning classification inertial sensor cross-country skiing classical style skating style batteryless strain sensor wireless strain sensor resonant frequency modulation Ecoflex human activity recognition smartphone human daily activity ensemble method running velocity smart shoe concussion inertial motion units (IMUs) vestibular exercises validation motion capture user intent recognition transfemoral prosthesis multi-objective optimization biogeography-based optimization smart cane weight-bearing health monitoring wearable/inertial sensors regularity variability human motion locomotion UPDRS tasks posture postural stability center of mass RGB-depth neurorehabilitation hallux abductus valgus high heel proximal phalanx of the hallux abduction valgus ultrasonography Achilles tendon diagnostic imaging tendinopathy foot insoles electromyography joint instability muscle contractions motorcycling wearable electronic devices validity relative movement lower limb prosthetics biomechanic measurement tasks quantifying socket fit rehabilitation exercise dynamic time warping automatic coaching exergame fine-wire intramuscular EMG electrode non-human primate model traumatic spinal cord injury wavelet transform relative power linear mixed model VO2 calibration MET VO2net speed equivalent speed free-living children adolescents adults gait event detection hemiplegic gait appropriate mother wavelet acceleration signal wavelet-selection criteria conductive textile stroke hemiparetic real-time monitoring lower limb locomotion activity triplet Markov model semi-Markov model on-line EM algorithm human kinematics phase difference angle |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557672103321 |
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Lockhart Thurmon
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sensors for Gait, Posture, and Health Monitoring Volume 3
| Sensors for Gait, Posture, and Health Monitoring Volume 3 |
| Autore | Lockhart Thurmon |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (386 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
step detection
machine learning outlier detection transition matrices autoencoders ground reaction force (GRF) micro electro mechanical systems (MEMS) gait walk bipedal locomotion 3-axis force sensor shoe force distribution multi-sensor gait classification distributed compressed sensing joint sparse representation classification telemonitoring of gait operating range accelerometer stride length peak tibial acceleration running velocity wearable sensors feedback technology rehabilitation motor control cerebral palsy inertial sensors gait events spatiotemporal parameters postural control falls in the elderly fall risk assessment low-cost instrumented insoles foot plantar center of pressure flexible sensor gait recognition piezoelectric material wearable adaptability force sensitive resistors self-tuning triple threshold algorithm sweat sensor sweat rate dehydration IoT PDMS surface electromyography handgrip force force-varying muscle contraction nonlinear analysis wavelet scale selection inertial measurement unit gyroscope asymmetry feature extraction gait analysis lower limb prosthesis trans-femoral amputee MR damper knee damping control inertial measurement units motion analysis kinematics functional activity repeatability reliability biomechanics cognitive frailty cognitive-motor impairment Alzheimer's disease motor planning error instrumented trail-making task ankle reaching task dual task walking nondestructive joint moment partial weight loading muscle contributions sit-to-stand training motion parameters step length self-adaptation Parkinson's disease (PD) tremor dominant (TD) postural instability and gait difficulty (PIGD) center of pressure (COP) fast Fourier transform (FFT) wavelet transform (WT) fall detection system smartphones accelerometers machine learning algorithms supervised learning ANOVA analysis Step-detection ActiGraph Pedometer acceleration physical activity physical function physical performance test chair stand sit to stand transfer wearables gyroscopes e-Health application physical rehabilitation shear and plantar pressure sensor biaxial optical fiber sensor multiplexed fiber Bragg gratings frailty pre-frail wearable sensor sedentary behavior moderate-to-vigorous activity steps fall detection elderly people monitoring telerehabilitation virtual therapy Kinect eHealth telemedicine insole injury prevention biomechanical gait variable estimation inertial gait variable total knee arthroplasty falls in healthy elderly fall prevention biometrics human gait recognition ground reaction forces Microsoft Kinect high heels fusion data ensemble classifiers accidental falls older adults neural networks convolutional neural network long short-term memory accelerometry obesity nonlinear electrostatic field sensing gait measurement temporal parameters artificial neural network propulsion aging walking smart footwear frailty prediction fall risk smartphone based assessments adverse post-operative outcome intelligent surveillance systems human fall detection health and well-being safety and security movement control anterior cruciate ligament kinetics real-time feedback biomechanical gait features impaired gait classification pattern recognition sensors clinical knee osteoarthritis shear stress callus woman TUG IMU geriatric assessment semi-unsupervised self-assessment domestic environment functional decline symmetry trunk movement autocorrelation gait rehabilitation wearable device IMU sensors gait classification stroke patients neurological disorders scanning laser rangefinders (SLR), GAITRite cadence velocity and stride-length power angular velocity human motion measurement sensor fusion complementary filter fuzzy logic inertial and magnetic sensors ESOQ-2 Parkinson's disease UPDRS movement disorders human computer interface RGB-Depth hand tracking automated assessment at-home monitoring Parkinson's Diseases motorized walker haptic cue gait pattern statistics study walk detection step counting signal processing plantar pressure flat foot insoles force sensors arch index sports analytics deep learning classification inertial sensor cross-country skiing classical style skating style batteryless strain sensor wireless strain sensor resonant frequency modulation Ecoflex human activity recognition smartphone human daily activity ensemble method running velocity smart shoe concussion inertial motion units (IMUs) vestibular exercises validation motion capture user intent recognition transfemoral prosthesis multi-objective optimization biogeography-based optimization smart cane weight-bearing health monitoring wearable/inertial sensors regularity variability human motion locomotion UPDRS tasks posture postural stability center of mass RGB-depth neurorehabilitation hallux abductus valgus high heel proximal phalanx of the hallux abduction valgus ultrasonography Achilles tendon diagnostic imaging tendinopathy foot insoles electromyography joint instability muscle contractions motorcycling wearable electronic devices validity relative movement lower limb prosthetics biomechanic measurement tasks quantifying socket fit rehabilitation exercise dynamic time warping automatic coaching exergame fine-wire intramuscular EMG electrode non-human primate model traumatic spinal cord injury wavelet transform relative power linear mixed model VO2 calibration MET VO2net speed equivalent speed free-living children adolescents adults gait event detection hemiplegic gait appropriate mother wavelet acceleration signal wavelet-selection criteria conductive textile stroke hemiparetic real-time monitoring lower limb locomotion activity triplet Markov model semi-Markov model on-line EM algorithm human kinematics phase difference angle |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557106503321 |
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Lockhart Thurmon
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures
| Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures |
| Autore | de Fátima Domingues Maria |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (204 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
fog computing
cloud computing e-health healthcare Internet of Things paddle stroke analysis motion reconstruction inertial sensor data fusion body sensor network gait analysis gyroscope information fusion hidden Markov model human activity recognition out of distribution anomaly detection open set classification physiotherapy inertial sensors smart watch rehabilitation machine learning COPD wearable sensors SenseWear Armband physical activity weekday-to-weekend energy expenditure stress wearable device heart rate variability electrocardiogram scapula neuromuscular activity and control rotator cuff related pain syndrome anterior shoulder instability scapular dyskinesis electromyographic biofeedback cardio-respiratory monitoring wearable system smart textile IMU respiratory rate heart rate accelerometers Bland-Altman plots gait speed interclass correlation coefficient low frequency extension filter Stepwatch smart walker obstacle detection aging |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557611703321 |
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de Fátima Domingues Maria
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Wearable and Nearable Biosensors and Systems for Healthcare
| Wearable and Nearable Biosensors and Systems for Healthcare |
| Autore | Di Rienzo Marco |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (226 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
tangent space
Riemannian geometry particle swarm optimization (PSO) BCI EEG electro-oscillography (EOG) CSP FBCSP (filter bank common spatial pattern) online learning ballistocardiography pressure sensor Emfit home monitoring sleep recording sleep apnea unsupervised learning synchronization acoustic emissions joint sounds glove wearable sensing knee joint loading quaternion smartphone feature engineering human activity recognition sensor fusion ballistocardiogram blood pressure stroke volume cardiac output total peripheral resistance photoplethysmography photoplethysmogram heart rate consumer-wearable devices in-ear validation optical pulse rate monitoring pulse rate seismocardiography ultra-short heart rate variability stress evaluation accelerometers robotic assistant systems for surgery expertise pick-and-drop simulator task grip force profiles grip force control body sensor network wearable sensor telemedicine telerehabilitation seismocardiogram acceleration electrocardiogram cardiac mechanics pulse transit time adaptive recursive least squares filter (ARLSF) Seismocardiography (SCG) motion artifact Electrocardiogram (ECG) ageing gender machine learning support vector machine voice analysis pressure sensors compression therapy thin-film sensors wireless sensors medical pressure monitoring capacitive sensors flexible sensors LC sensor wound monitoring |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557338203321 |
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Di Rienzo Marco
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice
| Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice |
| Autore | Ribbers Gerard M |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (328 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
accelerometers
wearable sensors exercise measurement GMFCS level relative orientation estimation IMU magnetometer-free gait analysis machine learning inertial measurement units neurological disorders falls validity 3-D motion analysis single leg squat motion capture clinical rehabilitation motor function outcomes implementation locomotion assistive devices embedded sensors accelerometry physical activity Fourier transform functional linear model walking distance lower limb amputation gait Lie group constrained extended Kalman filter pose estimation wearable devices distance measurement gait planning stride length center of pressure human-machine interaction perinatal stroke kinematics upper extremity cerebral palsy hemiplegia constraint inertial measurement unit wireless sensors network motion tracking range of motion shoulder goniometer spinal cord injury tetraplegia clinical setting circadian motor behavior body-worn sensors older adults physically active workers low back pain inertial motion units wearable sensor real-time gait detection insole pressure sensors pathological gait gait rehabilitation assistive device wearable technology stroke physical therapy arm use upper limb performance accelerometer sensor walking |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Wearable Movement Sensors for Rehabilitation |
| Record Nr. | UNINA-9910557359503321 |
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Ribbers Gerard M
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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