Research Article
MyHealthAvatar: personalized and empowerment health services through Internet of Things technologies
@INPROCEEDINGS{10.4108/icst.mobihealth.2014.257500, author={Emmanouil G. Spanakis and Po Yang and Zhikun Deng and Dimitris Kafetzopoulos and Kostas Marias and Manolis Tsiknakis and Feng Dong}, title={MyHealthAvatar: personalized and empowerment health services through Internet of Things technologies}, proceedings={Advances in Personalized Healthcare Services, Wearable Mobile Monitoring, and Social Media Pervasive Technologies}, publisher={IEEE}, proceedings_a={APHS}, year={2014}, month={12}, keywords={internet of thins; digital patient; virtual physiological human; cloud computing; ehealth/mhealth;}, doi={10.4108/icst.mobihealth.2014.257500} }
- Emmanouil G. Spanakis
Po Yang
Zhikun Deng
Dimitris Kafetzopoulos
Kostas Marias
Manolis Tsiknakis
Feng Dong
Year: 2014
MyHealthAvatar: personalized and empowerment health services through Internet of Things technologies
APHS
ICST
DOI: 10.4108/icst.mobihealth.2014.257500
Abstract
The interconnection of heterogeneous data sources could provide a comprehensive picture of health parameters, thereby triggering an intervention by the medical staff upon detection of conditions that may lead to health deterioration, thus realizing preventive care. Supported Internet of Things technologies can be used to allow health related information to be locally aggregated and transmitted for remote monitoring and response. We present MyHealthAvatar (MHA), a personal digital health related collection bag, carried by individual citizens throughout their lifetime able to sustain in a meaningful manner all collected information. MHA acts as a unique companion continually following and empowering citizen and patients through a number of health related services. We describe the efforts on creating MHA patient-centered healthcare services for accessing, collecting and sharing long term multilevel personal health data through an integrated environment including: clinical data, genetic data, medical sensor data and devices, human behavior data and activity data for clinical data analysis, prediction and prevention for the individual citizen.