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A novel approach to multi-sensor data synchronisation using mobile phones
KTH, School of Technology and Health (STH), Data- och elektroteknik (Closed 20130701).ORCID iD: 0000-0003-1668-9896
KTH, School of Technology and Health (STH), Data- och elektroteknik (Closed 20130701).
KTH, School of Technology and Health (STH), Data- och elektroteknik (Closed 20130701).
KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS) (Closed 20130701).
2013 (English)In: International Journal of Autonomous and Adaptive Communications Systems, ISSN 1754-8632, E-ISSN 1754-8640, Vol. 6, no 3, p. 289-303Article in journal (Refereed) Published
Abstract [en]

This paper presents a new algorithm for application layer synchronisation of data from multiple sensors arriving to a mobile phone's Bluetooth interface. A system that provides feedback signals to an athlete is one example where it is crucial to synchronise data from several wireless sensors. This paper also discusses synchronisation problems caused by unpredictable Bluetooth transmission performance. 

Place, publisher, year, edition, pages
2013. Vol. 6, no 3, p. 289-303
Keywords [en]
Bluetooth, Data fusion, Mobile phone, Multi-sensor data synchronisation, Wireless sensor networks
National Category
Communication Systems Medical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-123180DOI: 10.1504/IJAACS.2013.054830Scopus ID: 2-s2.0-84879560840OAI: oai:DiVA.org:kth-123180DiVA, id: diva2:625197
Note

QC 20130605

Available from: 2013-06-04 Created: 2013-06-04 Last updated: 2018-08-21Bibliographically approved
In thesis
1. Multi-Sensor Data Synchronization using Mobile Phones
Open this publication in new window or tab >>Multi-Sensor Data Synchronization using Mobile Phones
2013 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Body sensor networking is a rapidly growing technology. Today wearable sensors are used to measure and monitor e.g. pulse, temperature, skin conductance, heart activity, and movement (through GPS or inertial measurement units). Mobile phones can act as coordinating nodes in wireless personal area networks used in home automation, healthcare, sport and wellness e.g. to measure pulse and distance. Integration of data from multiple sources sensors (data fusion) means that data from each sensor node needs to be associated with data from other sensor nodes sampled at approximately the same time. Accurate methods for time synchronization are therefore a necessary prerequisite for reliable data fusion.

This thesis studies time synchronization problems in Bluetooth piconets between multiple wireless sensor nodes connected to a mobile phone that acts as coordinating node. Three different algorithms to enable correct data fusion have been developed, implemented and evaluated. The first is a single clock solution that synchronizes multiple wireless sensor nodes based solely on the mobile phone’s clock. The other two algorithms synchronize the clocks in sensor nodes to the clock in the coordinating node. 

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2013. p. 17
Series
Trita-STH : report, ISSN 1653-3836 ; 2013:5
Keywords
wireless body sensor networks, wireless personal area network, sport technology, Bluetooth performance, time synchronization, data fusion, mobile phone application.
National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-123222 (URN)978-91-7501-780-8 (ISBN)
Presentation
2013-06-12, LH3-515, Alfred Nobels allé 10, Huddinge, 14:15 (English)
Opponent
Supervisors
Note

QC 20130605

Available from: 2013-06-05 Created: 2013-06-04 Last updated: 2013-06-05Bibliographically approved
2. 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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