TY - BOOK ID - 137174571 TI - Wearable and Nearable Biosensors and Systems for Healthcare AU - Di Rienzo, Marco AU - Mukkamala, Ramakrishna PY - 2021 PB - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - tangent space KW - Riemannian geometry KW - particle swarm optimization (PSO) KW - BCI KW - EEG KW - electro-oscillography (EOG) KW - CSP KW - FBCSP (filter bank common spatial pattern) KW - online learning KW - ballistocardiography KW - pressure sensor KW - Emfit KW - home monitoring KW - sleep recording KW - sleep apnea KW - unsupervised learning KW - synchronization KW - acoustic emissions KW - joint sounds KW - glove KW - wearable sensing KW - knee joint loading KW - quaternion KW - smartphone KW - feature engineering KW - human activity recognition KW - sensor fusion KW - ballistocardiogram KW - blood pressure KW - stroke volume KW - cardiac output KW - total peripheral resistance KW - photoplethysmography KW - photoplethysmogram KW - heart rate KW - consumer-wearable devices KW - in-ear KW - validation KW - optical pulse rate monitoring KW - pulse rate KW - seismocardiography KW - ultra-short heart rate variability KW - stress evaluation KW - accelerometers KW - robotic assistant systems for surgery KW - expertise KW - pick-and-drop simulator task KW - grip force profiles KW - grip force control KW - body sensor network KW - wearable sensor KW - telemedicine KW - telerehabilitation KW - seismocardiogram KW - acceleration KW - electrocardiogram KW - cardiac mechanics KW - pulse transit time KW - adaptive recursive least squares filter (ARLSF) KW - Seismocardiography (SCG) KW - motion artifact KW - Electrocardiogram (ECG) KW - ageing KW - gender KW - machine learning KW - support vector machine KW - voice analysis KW - pressure sensors KW - compression therapy KW - thin-film sensors KW - wireless sensors KW - medical pressure monitoring KW - capacitive sensors KW - flexible sensors KW - LC sensor KW - wound monitoring KW - n/a UR - https://www.unicat.be/uniCat?func=search&query=sysid:137174571 AB - 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 physiological monitoring, anytime and anywhere. Such monitoring can help transform healthcare from the current reactive, one-size-fits-all, hospital-centered approach into a future proactive, personalized, decentralized structure. Wearable and nearable biosensors and systems have been made possible through integrated innovations in sensor design, electronics, data transmission, power management, and signal processing. Although much progress has been made in this field, many open challenges for the scientific community remain, especially for those applications requiring high accuracy. This book contains the 12 papers that constituted a recent Special Issue of Sensors sharing the same title. The aim of the initiative was to provide a collection of state-of-the-art investigations on wearables and nearables, in order to stimulate technological advances and the use of the technology to benefit healthcare. The topics covered by the book offer both depth and breadth pertaining to wearable and nearable technology. They include new biosensors and data transmission techniques, studies on accelerometers, signal processing, and cardiovascular monitoring, clinical applications, and validation of commercial devices. ER -