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Technical Solutions for Internet-based Wireless Sensor Networks in e-Health Applications
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
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 [en]
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
Keywords [sv]
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: urn:nbn:se:kth:diva-233473ISBN: 978-91-7729-899-1 (print)OAI: oai:DiVA.org:kth-233473DiVA, id: diva2:1240245
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
List of papers
1. A Javascript Web Framework for Rapid Development of Applications in IoT System for eHealth
Open this publication in new window or tab >>A Javascript Web Framework for Rapid Development of Applications in IoT System for eHealth
(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
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:nbn:se:kth:diva-233514 (URN)
Note

QC 20180821

Available from: 2018-08-21 Created: 2018-08-21 Last updated: 2018-08-21Bibliographically approved
2. Real-time Performance Management of Assisted Living Services for Bluetooth Low Energy Sensor Communication
Open this publication in new window or tab >>Real-time Performance Management of Assisted Living Services for Bluetooth Low Energy Sensor Communication
2017 (English)In: Integrated Network and Service Management (IM), 2017 IFIP/IEEE Symposium on, IEEE conference proceedings, 2017Conference paper, Published paper (Refereed)
Abstract [en]

PerfMon is a prototype implementation of a realtime performance management method for sensor data communication in assisted living applications. It is implemented in accordance with the specification for GATT services in Bluetooth low energy (BLE). PerfMon provides a tool for real-time performance monitoring and control for caregivers and service providers. Test results from monitoring and control of packet loss ratio related to alarm thresholds are presented. PerfMon is adapted to cloud-based web services using RESTful APIs and established object models. Performance management is a necessary component in an overall management system of IoT devices for healthcare and assisted living applications.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2017
Keywords
performance monitoring, performance management, Internet of Things, Bluetooth low energy, Generic Attribute(GATT) service, ambient assisted living
National Category
Communication Systems
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-211034 (URN)10.23919/INM.2017.7987452 (DOI)2-s2.0-85029408358 (Scopus ID)
Conference
Workshop on Protocols, Applications and Platforms for Enhanced Living Environments, PAPELE 2017, Held in conjunction with IFIP/IEEE International Symposium on Integrated Network Management IM 2017 (Lisbon // Portugal)8-12 May 2017
Note

QC 20170803

Available from: 2017-07-11 Created: 2017-07-11 Last updated: 2018-08-20Bibliographically approved
3. Smartphone-Centric Wi-Fi Device-to-Device Sensor Communication for User Mobility in AAL Services
Open this publication in new window or tab >>Smartphone-Centric Wi-Fi Device-to-Device Sensor Communication for User Mobility in AAL Services
2016 (English)In: Personal, Indoor, and Mobile Radio Communications (PIMRC), 2016 IEEE 27th Annual International Symposium on, IEEE conference proceedings, 2016, p. 80-85Conference paper, Published paper (Refereed)
Abstract [en]

This paper evaluates a use-case for smartphone-centric Wi-Fi device-to-device sensor communication that enables user mobility in ambient assisted living (AAL) services. A real-time performance measurement method has been developed and implemented to evaluate the smartphone’s ability to act as a hub and gateway for Wi-Fi connected sensor nodes. The results show that Wi-Fi Direct and Wi-Fi Hotspot are feasible solutions for smartphone-centric device-to-device communication that enables user mobility. In addition, a cloud-based web application for monitoring and displaying sensor data has been implemented.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2016
Keywords
wireless local area networks, device-to-device communication, mobility, ambient assisted living
National Category
Telecommunications
Research subject
Technology and Health
Identifiers
urn:nbn:se:kth:diva-192472 (URN)10.1109/PIMRC.2016.7794565 (DOI)000391598800014 ()2-s2.0-85010046867 (Scopus ID)978-1-5090-3253-2 (ISBN)
Conference
IEEE 27th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), workshop Internet of Things for ambient assisted living, Valencia, 4-8 Sept 2016
Note

QC 20160914

Available from: 2016-09-12 Created: 2016-09-12 Last updated: 2018-08-20Bibliographically approved
4. Time synchronization and data fusion for RGB-Depth cameras and inertial sensors in AAL applications
Open this publication in new window or tab >>Time synchronization and data fusion for RGB-Depth cameras and inertial sensors in AAL applications
Show others...
2015 (English)In: 2015 IEEE International Conference on Communication Workshop, ICCW 2015, IEEE conference proceedings, 2015, p. 265-270Conference paper, Published paper (Refereed)
Abstract [en]

Ambient Assisted Living applications often need to integrate data from multiple sensors, to provide consistent information on the observed phenomena. Data fusion based on samples from several sensors requires accurate time synchronization with sufficient resolution, depending on the sensor sampling frequency. This work presents a technical platform for the efficient and accurate synchronization of the data captured from RGB-Depth cameras and wearable inertial sensors, that can be integrated in AAL solutions. A case study of sensor data fusion for Timed Up and Go test is also presented and discussed.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2015
Keywords
data fusion, depth camera, inertial sensor, synchronization, timed up and go, Cameras, Functional assessment, Inertial navigation systems, Wearable sensors, Wearable technology, Ambient assisted living, Multiple sensors, Sampling frequencies, Time synchronization, Sensor data fusion
National Category
Signal Processing Media Engineering
Identifiers
urn:nbn:se:kth:diva-181539 (URN)10.1109/ICCW.2015.7247189 (DOI)000380459900044 ()2-s2.0-84947751787 (Scopus ID)9781467363051 (ISBN)
Conference
IEEE International Conference on Communication Workshop, ICCW 2015, 8 June 2015 through 12 June 2015
Note

QC 20160204

Available from: 2016-02-04 Created: 2016-02-02 Last updated: 2018-08-20Bibliographically approved
5. A novel approach to multi-sensor data synchronisation using mobile phones
Open this publication in new window or tab >>A novel approach to multi-sensor data synchronisation using mobile phones
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. 

Keywords
Bluetooth, Data fusion, Mobile phone, Multi-sensor data synchronisation, Wireless sensor networks
National Category
Communication Systems Medical Engineering
Identifiers
urn:nbn:se:kth:diva-123180 (URN)10.1504/IJAACS.2013.054830 (DOI)2-s2.0-84879560840 (Scopus ID)
Note

QC 20130605

Available from: 2013-06-04 Created: 2013-06-04 Last updated: 2018-08-21Bibliographically approved
6. Performance evaluation of time synchronization and clock drift compensation in wireless personal area networks
Open this publication in new window or tab >>Performance evaluation of time synchronization and clock drift compensation in wireless personal area networks
2012 (English)In: BodyNets '12 Proceedings of the 7th International Conference on Body Area Networks, ICST , 2012, p. 153-158Conference paper, Published paper (Refereed)
Abstract [en]

Efficient algorithms for time synchronization, including compensation for clock drift, are essential in order to obtain reliable fusion of data samples from multiple wireless sensor nodes. This paper evaluates the performance of algorithms based on three different approaches; one that synchronizes the local clocks on the sensor nodes, and a second that uses a single clock on the receiving node (e.g. a mobile phone), and a third that uses broadcast messages. The performances of the synchronization algorithms are evaluated in wireless personal area networks, especially Bluetooth piconets and ZigBee/IEEE 802.15.4 networks. A new approach for compensation of clock drift and a realtime implementation of single node synchronization from the mobile phone are presented and tested. Finally, applications of data fusion and time synchronization are shown in two different use cases; a kayaking sports case, and monitoring of heart and respiration of prematurely born infants. 

Place, publisher, year, edition, pages
ICST, 2012
Keywords
Time synchronization, clock drift, data fusion, Bluetooth, IEEE 802.15.4.
National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-123218 (URN)10.4108/icst.bodynets.2012.250342 (DOI)2-s2.0-84908592912 (Scopus ID)978-193696860-2 (ISBN)
Conference
7th International Conference on Body Area Networks, BODYNETS 2012, Oslo, Norway, 24 September 2012 through 26 September 2012
Note

QC 20130605

Available from: 2013-06-04 Created: 2013-06-04 Last updated: 2018-08-20Bibliographically approved
7. Local Time Synchronization in Bluetooth Piconets for Data Fusion Using Mobile Phones
Open this publication in new window or tab >>Local Time Synchronization in Bluetooth Piconets for Data Fusion Using Mobile Phones
2011 (English)In: BSN 2011: 8th International Conference on Body Sensor Networks, 2011, p. 113-138Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a method to synchronize the clocks in a Bluetooth piconet from the application layer in a mobile phone. It adapts algorithms for time synchronization of distributed systems and the Internet to Bluetooth networks. The performance issues that cause problems for data synchronization between master and slaves in Bluetooth are highlighted. The tests show that the synchronization error is limited to one sampling time.

National Category
Medical Laboratory and Measurements Technologies
Identifiers
urn:nbn:se:kth:diva-84244 (URN)10.1109/BSN.2011.11 (DOI)2-s2.0-80051983426 (Scopus ID)978-0-7695-4431-1 (ISBN)
Conference
8th International Conference on Body Sensor Networks, BSN 2011. Dallas, TX. 23 May 2011 - 25 May 2011
Note

QC 20120214

Available from: 2012-02-13 Created: 2012-02-13 Last updated: 2018-08-20Bibliographically approved

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CiteExportLink to record
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  • fi-FI
  • nn-NO
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