Remote Health Monitoring System
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: closed (30 November 2020) | Viewed by 4405
Special Issue Editor
Interests: data science; computational intelligence; intelligent systems; fault diagnosis; prediction and decision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The use of remote monitoring systems plays a decisive role in the deployment of eHealth solutions. The use of innovative sensors, reliable telecommunications infrastructures, and advanced diagnosis methodologies allows for healthcare to be extended outside the hospital, supporting healthcare services in a more proactive manner. In practice, permanent monitoring of the patients, continuous assessment of physiological parameters, prompt diagnosis, and early prediction of possible critical events are possible.
This Special Issue will focus on recent developments in the field of personal remote monitoring systems (pHealth), from non-obtrusive methods for acquisition of bio-signals and physiological parameters, to advances in bio-signal analysis and data processing algorithms, to the implementation and the identification of innovative pHealth solutions.
Possible contributions may include continuous easy-to-use bio-signals measurement; intelligent techniques and advanced algorithms to process and analyze collected data, in particular fusion methodologies that are able to deal with dynamic interactions and different sources of information (e.g., bio-signals, vital parameters, and contextual information); and new applications and trends of monitoring, diagnosis, prediction, and decision-making in the field of pHealth.
Dr. Jorge Henriques
Guest Editor
Manuscript Submission Information
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Keywords
- pHealth applications
- Non-obtrusive sensors
- Bio-signal processing
- Diagnosis and prognosis
- Clinical decision support systems
- Computational intelligence
- Data mining
- Chronic disease managment
