Wireless Body Sensors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (31 May 2020) | Viewed by 46585
Special Issue Editors
Interests: parallel systems; algorithms; high-performance scientific computing; Big Data; distributed systems; clouds; communication networks; wireless body sensors; electrocardiography; data processing; biomedical engineering; e&mHealth
Interests: health technology; biomedical engineering; signal processing; wearable body sensors; e-health and m-health; biomedical sensor systems; non-invasive sensor systems; motion analysis; fall detection; fall prevention; blood flow measurements; end-user compliance; user acceptance
Special Issues, Collections and Topics in MDPI journals
Interests: physiological body sensors; electrocardiography; patch electrocardiography; wireless sensors; remote patients monitoring; storage and analysis of large and high-dimensional data sets; Cloud: data storage and analysis; applied statistical analysis; knowledge discovery in data sets; exploratory data analysis
Special Issue Information
Dear Colleagues,
Wireless body sensors for health monitoring have a tremendous potential in the remote management of health. This includes both the monitoring of patients, where the sensor applications can save lives by predicting health status exacerbations and raise alarms in dangerous situations, and health trend monitoring of healthy people to provide support for a healthier lifestyle. The development, production, and marketing of m-Health-related medical devices and services is one of the most promising future economic and social issues, as it is already well-accepted that remote health monitoring can improve health and reduce overall healthcare costs significantly. Further developments are expected in developing new, accessible, smaller, and more energy-efficient medical devices –wireless body sensors—for data acquisition, as well as in advanced automatic data analysis and the generation of personalized diagnoses and possible personalized treatment of different health conditions, which is the main requirement for personalized medicine. The amount of medical data has increased rapidly in the past decade, with expectations of its further exponential increase in the next decade. In addition to clinical data, personal biomedical data will be produced by various sensors in real-time and through long periods of time. Analyses of the generated Big Data, supported by artificial intelligence and deep learning methods, will result in new medical knowledge that can be used in healthcare. To accommodate the data coming from the huge numbers of biomedical sensors, new data management and processing algorithms and structures need to be developed that will manage the data on all levels from sensors, personal computing devices, and computer clouds.
This Special Issue expects innovative work to explore new frontiers and challenges in the field of body sensors technology, interconnections, applications, services, and social impacts. Prospective authors are cordially invited to submit their original contributions related to various aspects of wireless body sensors.
The particular topics of interest include, but are not limited to:
- Wireless body sensors and networks;·
- Biomedical and well-being sensor design;·
- Wireless wearable technology;·
- Extremely low-power design for high autonomy;·
- Fusion of sensor data;·
- Internet of Things (IoT) for mHealth;·
- Fog/edge/cloud computing for wireless body sensors;·
- Time alignment in multisensory systems;·
- Data analytics for interpretation of sensor measurements;·
- Decision support systems based on wireless body sensors;·
- Advanced sensor signal processing;·
- Data and information models and representations for mHealth;·
- Data-mining and machine learning for personalized data analysis;·
- Security and privacy of m-health;·
- Pilot applications;·
- Clinical trials and practices;·
- Patients’ perspectives of wireless body sensors;·
- Patients’ compliance and acceptance of mHealth systems;·
- Health prevention through wearable sensors;·
- Cost-effectiveness of m-Health;·
- Social impacts of m-Health and body sensors.
Prof. Dr. Roman Trobec
Prof. Dr. Maria Linden
Dr. Ivan Tomasic
Guest Editors
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Keywords
- smart and connected health
- remote patients monitoring
- telemonitoring, eHealth, mHealth
- body sensors and IoT
- wireless body area networks
- sensing and data analytics
- security and privacy in sensor environments
- machine learning and data mining
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