A Mobile-Based Multimodal Framework for Pervasive Health Monitoring

被引：0

作者：

Mastoras, Rafail-Evangelos ^{[1
]}

Triantafyllidis, Andreas ^{[1
]}

Giakoumis, Dimitrios ^{[1
]}

Kordonias, Rafail-Konstantinos ^{[1
]}

Papaprodromou, Aristotelis ^{[1
]}

Nalbadis, Fotis ^{[1
]}

Segkouli, Sofia ^{[1
]}

Lithoxoidou, Evdoxia-Eirini ^{[1
]}

Georgiadis, Charalabos ^{[1
]}

Paliokas, Ioannis ^{[1
]}

Votis, Konstantinos ^{[1
]}

Tzovaras, Dimitrios ^{[1
]}

机构：

[1] Ctr Res & Technol Hellas, Informat Technol Inst, 6th Klm Charilaou Thermi Rd,POB 60361, GR-57001 Thessaloniki, Greece

来源：

2021 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS AND OTHER AFFILIATED EVENTS (PERCOM WORKSHOPS) | 2021年

基金：

欧盟地平线“2020”;

关键词：

pervasive health; mobile; digital phenotyping; Internet of Things;

D O I：

10.1109/PERCOMWORKSHOPS51409.2021.9430967

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Pervasive health monitoring tools and applications based on mobile devices can be used for digital phenotyping, thereby facilitating diagnosis and treatment of diseases. We present the development of an unobtrusive health monitoring framework, enabling multimodal data collection of activity information from wearable devices, smartphones, and third-party apps, keystroke typing data, location information, data from medical and environmental IoT devices, and self-reports. The architectural elements of the framework are presented, and proof-of-concept case studies based on the developed framework are demonstrated, to show its feasibility and value in building different pervasive health applications.

引用

页码：194 / 199

页数：6

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