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Over the past few decades, modern information technology has made a significant impact on people’s daily lives worldwide. In the field of health care and prevention, there has been a progressing penetration of assistive health services such as personal health records, supporting apps for chronic diseases, or preventive cardiological monitoring. In 2020, the range of personal health services appeared to be almost unmanageable, accompanied by a multitude of different data formats and technical interfaces. The exchange of health-related data between different healthcare providers or platforms may therefore be difficult or even impossible. In addition, health professionals are increasingly confronted with medical data that were not acquired by themselves, but by an algorithmic “black box”. Even further, externally recorded data tend to be incompatible with the data models of classical healthcare information systems.From the individual’s perspective, digital services allow for the monitoring of their own health status. However, such services can also overwhelm their users, especially elderly people, with too many features or barely comprehensible information. It therefore seems highly relevant to examine whether such “always at hand” services exceed the digital literacy levels of average citizens.In this context, this reprint presents innovative, health-related applications or services emphasizing the role of user-centered information technology, with a special focus on one of the aforementioned aspects.

fever --- FeverApp --- ecological momentary assessment --- user behavior --- sociodemographic characteristics --- registry --- guidelines --- feasibility --- usability --- routine health information system --- health management information system --- health system performance --- machine learning --- digital health --- registry analysis --- ClinicalTrials.gov --- device regulation --- new information technology --- Technology Acceptance Model (TAM) --- institution --- institutionalism --- digital informatics --- human–computer interaction --- personal health informatics --- consumer health data --- consumer health information --- self-tracking --- quantified self --- mHealth apps --- telemonitoring --- telemedicine --- telecardiology --- cardiology --- wearable --- sensors --- consumer health devices --- cardiovascular disease --- heart failure --- atrial fibrillation --- mental health --- psychiatry --- psychiatric record --- psychiatric notes --- patient accessible electronic health record --- PAEHR --- open notes --- policies --- COVID-19 --- technology acceptance --- user survey --- wearable health monitor --- ECG patch --- personal electronic health records --- technology adoption --- endogenous motivations --- health information privacy concern --- mixed-methods --- ePA --- online review helpfulness --- signaling theory --- sentiment analysis --- physician rating websites --- consumer decision-making --- health information technology --- information exchange --- hospital --- market

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This is a collection of recent advances on sensors, systems, and signal/image processing methods for biomedicine and assisted living. It includes methods for heart, sleep, and vital sign measurement; human motion-related signal analysis; assistive systems; and image- and video-based diagnostic systems. It provides an overview of the state-of-the-art challenges in the respective topics and future directions. This will be useful for researchers in various domains, including computer science, electrical engineering, biomedicine, and healthcare researchers.

Information technology industries --- high efficiency video coding --- low complexity --- hardware friendly --- vehicular ad-hoc networks --- color vision deficiency --- image re-coloring --- visual assistance --- video pletysmography --- image processing --- heart rate estimation --- human-computer interaction --- biomedicine --- healthcare --- assisted living --- action classification --- human motor behavior --- computer vision --- deep learning --- pose tracking --- Brain-Computer Interface --- Blind Source Separation --- Movement Related Independent Component --- Wavelet Transform --- Convolutional Neural Network --- brain cancer --- hyperspectral imaging --- intraoperative imaging --- feature selection --- image-guided surgery --- genetic algorithm --- particle swarm optimization --- ant colony optimization --- support vector machine --- machine learning --- visual perception --- electrocardiogram (ECG) coder --- non-uniform sampling --- telecardiology --- compressed sensing --- strain gauge --- tremor quantification --- Parkinson's disease --- action tremors --- wearables --- biosensors --- sleep --- Fitbit --- Oura --- Hexoskin --- Withings --- cognition --- medical optics and biotechnology --- optical pathology --- convolutional neural networks --- tissue diagnostics --- tissue characterization --- glioblastoma --- contactless measurement --- vital signs --- RGB-thermal image processing --- infection diseases --- artificial neural network --- Doppler radar --- heart rate --- real-time processing --- visually challenged --- navigation --- image analysis --- fuzzy sets --- convolutional neural networks (CNNs) --- eye tracking --- motorized wheelchair --- ultrasonic proximity sensors --- laryngeal cancer --- contact endoscopy --- narrow band imaging --- automatic classification --- feature extraction --- Barrett neoplasia --- tissue detection --- recurrent neural networks --- upper GI tract --- high efficiency video coding --- low complexity --- hardware friendly --- vehicular ad-hoc networks --- color vision deficiency --- image re-coloring --- visual assistance --- video pletysmography --- image processing --- heart rate estimation --- human-computer interaction --- biomedicine --- healthcare --- assisted living --- action classification --- human motor behavior --- computer vision --- deep learning --- pose tracking --- Brain-Computer Interface --- Blind Source Separation --- Movement Related Independent Component --- Wavelet Transform --- Convolutional Neural Network --- brain cancer --- hyperspectral imaging --- intraoperative imaging --- feature selection --- image-guided surgery --- genetic algorithm --- particle swarm optimization --- ant colony optimization --- support vector machine --- machine learning --- visual perception --- electrocardiogram (ECG) coder --- non-uniform sampling --- telecardiology --- compressed sensing --- strain gauge --- tremor quantification --- Parkinson's disease --- action tremors --- wearables --- biosensors --- sleep --- Fitbit --- Oura --- Hexoskin --- Withings --- cognition --- medical optics and biotechnology --- optical pathology --- convolutional neural networks --- tissue diagnostics --- tissue characterization --- glioblastoma --- contactless measurement --- vital signs --- RGB-thermal image processing --- infection diseases --- artificial neural network --- Doppler radar --- heart rate --- real-time processing --- visually challenged --- navigation --- image analysis --- fuzzy sets --- convolutional neural networks (CNNs) --- eye tracking --- motorized wheelchair --- ultrasonic proximity sensors --- laryngeal cancer --- contact endoscopy --- narrow band imaging --- automatic classification --- feature extraction --- Barrett neoplasia --- tissue detection --- recurrent neural networks --- upper GI tract

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This is a collection of recent advances on sensors, systems, and signal/image processing methods for biomedicine and assisted living. It includes methods for heart, sleep, and vital sign measurement; human motion-related signal analysis; assistive systems; and image- and video-based diagnostic systems. It provides an overview of the state-of-the-art challenges in the respective topics and future directions. This will be useful for researchers in various domains, including computer science, electrical engineering, biomedicine, and healthcare researchers.

high efficiency video coding --- low complexity --- hardware friendly --- vehicular ad-hoc networks --- color vision deficiency --- image re-coloring --- visual assistance --- video pletysmography --- image processing --- heart rate estimation --- human-computer interaction --- biomedicine --- healthcare --- assisted living --- action classification --- human motor behavior --- computer vision --- deep learning --- pose tracking --- Brain-Computer Interface --- Blind Source Separation --- Movement Related Independent Component --- Wavelet Transform --- Convolutional Neural Network --- brain cancer --- hyperspectral imaging --- intraoperative imaging --- feature selection --- image-guided surgery --- genetic algorithm --- particle swarm optimization --- ant colony optimization --- support vector machine --- machine learning --- visual perception --- electrocardiogram (ECG) coder --- non-uniform sampling --- telecardiology --- compressed sensing --- strain gauge --- tremor quantification --- Parkinson’s disease --- action tremors --- wearables --- biosensors --- sleep --- Fitbit --- Oura --- Hexoskin --- Withings --- cognition --- medical optics and biotechnology --- optical pathology --- convolutional neural networks --- tissue diagnostics --- tissue characterization --- glioblastoma --- contactless measurement --- vital signs --- RGB-thermal image processing --- infection diseases --- artificial neural network --- Doppler radar --- heart rate --- real-time processing --- visually challenged --- navigation --- image analysis --- fuzzy sets --- convolutional neural networks (CNNs) --- eye tracking --- motorized wheelchair --- ultrasonic proximity sensors --- laryngeal cancer --- contact endoscopy --- narrow band imaging --- automatic classification --- feature extraction --- Barrett neoplasia --- tissue detection --- recurrent neural networks --- upper GI tract --- n/a --- Parkinson's disease