A low-cost IoT-based health monitoring platform enriched with social networking facilities

The use of distant health monitoring solutions is consciously increasing nowadays exploiting the advancements in modern technologies such as the Internet of Things (IoT), mobile networking and pervasive communication. Already in cases of chronic disease management the regular use of mHealth and telemonitoring approaches is very common facilitating the constant patient monitoring and enabling the use of innovative features for patients, medical experts and caregivers. Remote communication is essential as it allows the prevention or/and the precise treatment of patients. The power efficiency, the computing capabilities and the affordability of modern biosignals sensors, portable computing machines and IoT devices allows for the development of advanced and compelling solutions in the area of mHealth and patient telemonitoring. This work presents a low-cost, IoT enabled, home monitoring solution, as part of a dedicated communication and social networking platform, which provides wireless and automated collection and storage of biosignals received from sensors. The proposed solution provides also remote communication and monitoring via a dedicated social network, which enables real-time videoconferencing and data exchange.

[1]  Guy Paré,et al.  Review Paper: Systematic Review of Home Telemonitoring for Chronic Diseases: The Evidence Base , 2007, J. Am. Medical Informatics Assoc..

[2]  Bin Yu,et al.  Bluetooth Low Energy (BLE) based mobile electrocardiogram monitoring system , 2012, 2012 IEEE International Conference on Information and Automation.

[3]  Paul A. Fontelo,et al.  Prototype telepathology solutions that use the Raspberry Pi and mobile devices , 2017, 2017 IEEE Global Humanitarian Technology Conference (GHTC).

[4]  G. Paré,et al.  Comparing the costs of home telemonitoring and usual care of chronic obstructive pulmonary disease patients: A randomized controlled trial , 2013 .

[5]  Fernando Seoane,et al.  Biosignal PI, an Affordable Open-Source ECG and Respiration Measurement System , 2014, Sensors.

[6]  Z. Daniil,et al.  Utilizing a Homecare Platform for Remote Monitoring of Patients with Idiopathic Pulmonary Fibrosis. , 2017, Advances in experimental medicine and biology.

[7]  Steve Vinoski,et al.  Node.js: Using JavaScript to Build High-Performance Network Programs , 2010, IEEE Internet Comput..

[8]  J. Barlow,et al.  A systematic review of the benefits of home telecare for frail elderly people and those with long-term conditions , 2007, Journal of telemedicine and telecare.

[9]  Carles Gomez,et al.  Overview and Evaluation of Bluetooth Low Energy: An Emerging Low-Power Wireless Technology , 2012, Sensors.

[10]  Ari Keränen,et al.  TCP Candidates with Interactive Connectivity Establishment (ICE) , 2012, RFC.

[11]  Dick Hardt,et al.  The OAuth 2.0 Authorization Framework , 2012, RFC.

[12]  Yuan-Hsiang Lin,et al.  Bluetooth Low Energy (BLE) based blood pressure monitoring system , 2014, 2014 International Conference on Intelligent Green Building and Smart Grid (IGBSG).

[13]  Michael S. Keller,et al.  Take Command: cron: Job Scheduler , 1999 .

[14]  Jean-Marie Bonnin,et al.  Toward a Smart Health-Care Architecture Using WebRTC and WoT , 2017, WorldCIST.

[15]  B. Wakefield,et al.  Care Coordination/Home Telehealth: the systematic implementation of health informatics, home telehealth, and disease management to support the care of veteran patients with chronic conditions. , 2008, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[16]  Briti Deb,et al.  Social networks for eHealth solutions on cloud , 2013, Front. Genet..

[17]  V. Lucidi,et al.  Five years of Telemedicine in Cystic Fibrosis Disease. , 2009, La Clinica terapeutica.

[18]  Siddhartha Haldar,et al.  Internet of Thing based healthcare monitoring system , 2017, 2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON).

[19]  Kamran Sartipi,et al.  HL7 FHIR: An Agile and RESTful approach to healthcare information exchange , 2013, Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems.

[20]  Lirong Dai,et al.  Access control for cloud-based eHealth social networking: design and evaluation , 2014, Secur. Commun. Networks.

[21]  Divyashikha Sethia,et al.  Secure sensor node with Raspberry Pi , 2013, IMPACT-2013.

[22]  A. de Silvestri,et al.  Economic impact of remote patient monitoring: an integrated economic model derived from a meta‐analysis of randomized controlled trials in heart failure , 2011, European journal of heart failure.

[23]  Steve Holmes,et al.  New and emerging technologies for the diagnosis and monitoring of chronic obstructive pulmonary disease , 2016, Chronic respiratory disease.