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A Javascript Web Framework for Rapid Development of Applications in IoT System for eHealth
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.ORCID iD: 0000-0003-1668-9896
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Health Informatics and Logistics.
(English)Manuscript (preprint) (Other academic)
Abstract [en]

Bluetooth Low Energy (BLE) is currently the dom- inating wireless network solution for eHealth and sports. Howev- er, most BLE sensors require dedicated applications with limited development capabilities. This paper presents a method for rapid development of applications in distributed BLE IoT systems for eHealth and sports. The method is implemented as a JavaScript web framework based on HTML5 canvas, WebSocket and Web Bluetooth APIs. This paper demonstrates how the framework can be applied to develop an application for monitoring physical activity and heart rate. The framework enables software and service operators to iteratively create, tune and deploy filter algorithms in distributed BLE IoT systems, without rebooting nodes or restarting programs using dynamic software updating.

Keywords [en]
JavaScript, Web Bluetooth API, Internet of Things, WebSocket, Bluetooth low energy, dynamic software updating, eHealth
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Technology and Health
Identifiers
URN: urn:nbn:se:kth:diva-233514OAI: oai:DiVA.org:kth-233514DiVA, id: diva2:1240438
Note

QC 20180821

Available from: 2018-08-21 Created: 2018-08-21 Last updated: 2018-08-21Bibliographically approved
In thesis
1. Technical Solutions for Internet-based Wireless Sensor Networks in e-Health Applications
Open this publication in new window or tab >>Technical Solutions for Internet-based Wireless Sensor Networks in e-Health Applications
2018 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

E-Health technology has developed rapidly in the last decade. Body-worn sen- sors have developed from an idea to a reality. Today, wireless sensors can perform functions from measuring heartbeats to advanced motion recognition. However, the integration of the various available solutions is still lacking. The research presented in this thesis examined important issues in wireless sensor networks and mobile phone systems for e-Health applications. The dissertation covers four essential areas for successful integration of IoT communication systems for e-Health. The first area is fusion of sensor data. In the previous licentiate thesis (2013), three algo- rithms were developed to synchronise data from multiple wireless sensors. The dissertation presents a method to merge data from wireless sensors with video streams. That was subsequently applied for automatic fall prevention and fall detec- tion using inertial sensors and a depth camera. The second area is mobile phone centric systems for Wi-Fi device-to-device sensor communication enabling mobility in ambient assisted living (AAL) services. The third area is a real-time monitoring and control system for Bluetooth wireless communication networks. Lastly, the dissertation presents a software framework to iteratively develop, tune and deploy functions in wireless sensor network using dynamic software updating.

Abstract [sv]

Teknikanvändandet inom hälsa har förändrats mycket under det senaste tio åren. Kroppsnära sensorer har gått från att vara en idé till att bli en verklighet. Idag finns trådlösa sensorer som kan mäta allt från hjärtslag till avancerad rörelseigenkänning. Integreringen av de olika tillgängliga lösningarna saknas emellertid fortfarande. Forskningen som presenterades i denna avhandling undersökte viktiga frågor i tråd- lösa sensornät och mobila system för e-hälsovård. Avhandlingen omfattar fyra viktiga områden för framgångsrik integrering av IoT-kommunikationssystem för e- hälsa. Det första området är synkronisering av sensordata. I den tidigare licentiat- uppsatsen (2013) utvecklades tre algoritmer för att synkronisera data från flera trådlösa sensorer. Avhandlingen presenterar även en metod för synkronisering av data från trådlösa sensorer med videoströmmar. Den användes därefter för automa- tisk fallhantering och falldetektering med hjälp av tröghetssensorer och en djupka- mera. Det andra området är analys av sensorkommunikation med Wi-Fi till mobilte- lefon för användarmobilitet. Det tredje området är ett realtidsövervaknings- och kontrollsystem för trådlösa Bluetooth-nätverk. Slutligen presenteras avhandlingen en mjukvara för att iterativt utveckla, ställa in och distribuera funktioner i trådlöst sensornätverk med dynamisk mjukvaruuppdatering.

Place, publisher, year, edition, pages
Stockholm, Sverige: KTH Royal Institute of Technology, 2018. p. 28
Keywords
e-Health, ambient assisted living, Internet of things, wireless body sensor networks, sports technology, Bluetooth, Wi-Fi, time synchronisation, sensor data fusion, mobile phone sensor communication, device-to-device communication, E-hälsa, Internet of things, trådlösa kroppsnära sensornät, idrottste- knologi, Bluetooth, Wi-Fi, tidssynkronisering, dynamisk mjukvaruuppdatering
National Category
Communication Systems Health Care Service and Management, Health Policy and Services and Health Economy
Research subject
Technology and Health
Identifiers
urn:nbn:se:kth:diva-233473 (URN)978-91-7729-899-1 (ISBN)
Public defence
2018-09-26, T2, Hälsovägen 11, Huddinge, 16:23 (English)
Opponent
Supervisors
Note

QC 20180821

Available from: 2018-08-21 Created: 2018-08-20 Last updated: 2018-08-21Bibliographically approved

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