Wearable Electronics and Embedded Computing Systems for Biomedical Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Bioelectronics".
Deadline for manuscript submissions: closed (18 June 2016) | Viewed by 145339
Special Issue Editors
Interests: wearable monitoring systems; heart rate variability; human–computer interfaces; biomedical and biomechanical signal processing; modeling; control and instrumentation; autonomic nervous system
Special Issues, Collections and Topics in MDPI journals
Interests: wearable monitoring systems; heart rate variability; nonlinear analysis; Autonomic Nervous Systems; biomedical signal processing
Special Issue Information
Dear Colleagues,
Wearable electronics and embedded computing systems have been gaining a great deal of interest over the last two decades in research and commercial fields, with a special focus on biomedical applications. The key benefits introduced by these systems include their small size, lightweight, low-power consumption, and, of course, wearability. Major human-centered applications are related to medicine enabling outpatient care and enhancing the quality of life for chronic disease patients, maybe preventing unnecessary hospitalizations. These technological avenues can indeed be cost effective and provide the doctors with more accurate and reliable data.
Exemplary engineering contribution has been focusing on developing innovative sensing platforms adaptable to different environments and user needs, smart textile technology, miniaturized electronics and sensors, energy harvesting, wireless body area networks, and so on. This has provided the possibility of gathering information in several scenarios, such as during daily activities or sleep, during specific tasks, at home, in the lab, and in the clinic, in the form of physiological signals.
We invite researchers to submit cutting-edge research articles, as well as reviews and tutorials, describing and assessing wearable devices, or proposing novel wearable sensors, computational efficient algorithms for physiological signal processing through embedded computing, collection of environmental/behavioral/psychological data, data fusion, detection and quantification of symptoms, decision support for the medical doctors, and communication of the patient with the doctor.
Potential topics include, but are not limited to:
- Innovative wearable sensing platforms and body area networks
- Smart textile technology
- Wearable systems in healthcare
- Continuous sleep monitor and evaluation
- Embedded signal processing
- Computationally efficient nonlinear digital signal processing
- Data fusion for embedded computing systems
- Smart telemonitoring systems
- Heart rate monitoring and related embedded computing
- Wearable biomedical electronics, computer and information technology
- Wireless and mobile communications in biomedical systems
Prof. Dr. Enzo Pasquale Scilingo
Dr. Gaetano Valenza
Guest Editors
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