Bioelectric Sensors |
Autore | Kintzios Spyridon E |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (114 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
organic optoelectronic device
pulse meter biosensor Bluetooth low energy (BLE) photoplethysmogram (PPG) chronic wounds electrical stimulation direct microcurrent non-invasive pressure ulcer wireless technology biochips impedance spectroscopy electrical equivalent circuit biomaterial Lysinibacillus sphaericus JG-A12 anticancer therapeutic strategies apoptosis bioelectric 5-fluorouracil HeLa cell line superoxide cell immobilization 3D-printed well bioelectric profiling impedance analysis real-time measurements electrochemical biosensors SWCNT point-of-care diagnostics label-free biosensors ELISA carbon nanotubes bovine serum albumin pacemaker threat modeling internet of things (IoT) medical devices vulnerabilities |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557623103321 |
Kintzios Spyridon E | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Cybersecurity and the Digital Health: An Investigation on the State of the Art and the Position of the Actors |
Autore | Giansanti Daniele |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (256 p.) |
Soggetto topico | Medical equipment & techniques |
Soggetto non controllato |
personal health record
emergency access access control blockchain hyperledger fabric hyperledger composer auditability privacy & security healthcare review electronic medical record cloud internet of things technology convergence eHealth medical devices digital health mHealth cyber-risk pacemaker artificial pancreas app regulation wearable device digital identity decentralized identity identity management smart contract Ethereum sexism social networks adolescence digital gender gap emotional well-being healthcare service body area network privacy authentication security protocol cybersecurity culture COVID-19 security assessment phishing health domain cybersecurity fuzzy cognitive maps telehealth scenario analysis planning contact tracing pandemic fall detection fall prediction fall prevention fall risk factors gait assessment 5G networks key performance indicators wireless communication awareness healthcare domain |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Cybersecurity and the Digital Health |
Record Nr. | UNINA-9910580207503321 |
Giansanti Daniele | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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