Mobile Telemedicine Using Biosignal Monitoring System
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 340
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 telemonitoring technologies, together with adequate diagnosis and prediction methodologies, plays a decisive role in the conception of ehealth solutions. The use of innovative sensors, effective 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, the continuous monitoring of the patient, prompt diagnosis, and early prediction of critical events are possible. Moreover, the information collected through the continuous telemonitoring of patients during long periods creates new opportunities in the diagnosis of a disease, its evolution, and prediction of possible complications.
This Special Issue mainly focuses on technological solutions, data mining, and computational intelligence methodologies to analyze data collected in the context of telemonitoring systems, namely physiological vital signs gathered by means of wearable sensors. The main goal is to show the benefits of telemonitoring solutions, namely in the development of strategies for the continuous assessment of health status and the early detection of critical events, providing professionals with adequate information to implement individualized services including feedback, motivation, and better adjustment of treatments.
Dr. Jorge Henriques
Guest Editor
Manuscript Submission Information
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Keywords
- wearable sensors
- biosignal analysis
- computational intelligence
- e-health
