Use of Smart Wearable Sensors and AI Methods in Providing P4 Medicine: 2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 10 December 2024 | Viewed by 1696
Special Issue Editor
Interests: wearable technologies for health and wellbeing applications; mobile and pervasive computing for assistive living; Internet of Things and assistive technologies; machine learning algorithms for physiological; inertial and location sensors; personal assistants and coaching for health self-management; activity detection and prediction methods
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The implementation of the P4 medicine concept (predictive, preventative, personalized, participatory) requires a complete architecture of interconnected systems. P4 medicine provides a holistic approach focused on the patient and should be able to empower the individual in an interconnected architecture in which data flow and are smartly processed by AI algorithms. Wearable sensors constitute a cornerstone in such an architecture that continuously monitors each patient to provide user-centered data. Artificial intelligence is able to convert sensor data into relevant knowledge and detect personalized patterns able to infer what is best for each patient and when to do something that will work for each person. This Special Issue welcomes contributions that combine artificial intelligent methods to process wearable sensor data in order to improve health and wellbeing, including theoretical and field studies, new methods and tools, or review studies.
Prof. Dr. Mario Munoz-Organero
Guest Editor
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Keywords
- wearable sensors
- machine learning
- artificial intelligence
- P4 medicine
- health and wellbeing
- deep learning
- empowering the patient
- recommender systems
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