Authors:
Sergio Cerutti
;
Anna M. Bianchi
and
Martin O. Mendez
Affiliation:
Polytechnic University of Milan, Italy
Keyword(s):
Wearable Device, Heart Rate Variability, Sleep, Autonomic Nervous System, Stress, Arousal, Autoregressive Model, Hidden Markov Model.
Related
Ontology
Subjects/Areas/Topics:
Affective Computing
;
Applications
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Business Analytics
;
Cardiovascular Technologies
;
Cloud Computing
;
Cognitive Informatics
;
Collaboration and e-Services
;
Complex Systems Modeling and Simulation
;
Computing and Telecommunications in Cardiology
;
Confidentiality and Data Security
;
Data Engineering
;
Data Mining
;
Databases and Datawarehousing
;
Databases and Information Systems Integration
;
Datamining
;
Development of Assistive Technology
;
Devices
;
Distributed and Mobile Software Systems
;
e-Business
;
e-Commerce in the Health Sector
;
e-Health
;
Enterprise Information Systems
;
Expert Systems
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Hospital Management Systems
;
Human-Computer Interaction
;
Human-Machine Interfaces for Disabled Persons
;
ICT for Cognitive Disabilities
;
ICT, Ageing and Disability
;
Integration/Interoperability
;
Interoperability
;
Knowledge Engineering and Ontology Development
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Medical and Nursing Informatics
;
Mobile Technologies
;
Mobile Technologies for Healthcare Applications
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Online Medical Applications
;
Ontologies and the Semantic Web
;
Physiological Computing Systems
;
Physiological Modeling
;
Platforms and Applications
;
Practice Based Research Methods for Assistive Technology
;
Semantic Interoperability
;
Sensor Networks
;
Signal Processing
;
Simulation and Modeling
;
Socio-Economic Issues of Assistive Technology
;
Soft Computing
;
Software Agents and Internet Computing
;
Software and Architectures
;
Software Engineering
;
Symbolic Systems
;
Telemedicine
;
Therapeutic Systems and Technologies
;
Wearable Sensors and Systems
Abstract:
Advances in micro and nanotechnology, wireless technology, word-wide web networking, biomedical digital signal processing, textile tissue and implantable devices, etc. have permitted the development of alternative solutions for a better diagnosis of various pathologies, health care and prevention. These advances allow the remote continuous monitoring of persons, whenever and wherever they are. My-Heart FP6 EU Project integrates these components to develop a new concept of prevention and diagnosis for cardiovascular diseases. The present paper will mainly focus on a Concept of the Project which is called Take-Care and deals with the management, and integration of information for monitoring and personal motivation in the health care environment & applications. In its main goal, Take-Care Concept allows the learning in easy way about own self-body responses to different situations in the normal lifestyle: in particular, it offers an evaluation of life quality from sleep performance and
stress management based on an integration of information between heart rate variability and respiration signals.
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