Wearable and Nearable Biosensors and Systems for Healthcare

• Muut tekijät: Di Rienzo, Marco (Toimittaja), Mukkamala, Ramakrishna (Toimittaja)
• Aineistotyyppi: Elektroninen Kirjan osa
• Kieli: englanti
• Julkaistu: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Aiheet: Humanities; Social interaction; 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; n/a
• Linkit: DOAB: download the publication; DOAB: description of the publication

Biosensors and systems in the form of wearables and "nearables" (i.e., everyday sensorized objects with transmitting capabilities such as smartphones) are rapidly evolving for use in healthcare. Unlike conventional approaches, these technologies can enable seamless or on-demand physiologic...