Wireless sensor networks for ambient assisted living

This paper introduces wireless sensor networks for Ambient Assisted Living as a proof of concept. Our workgroup has developed an arrhythmia detection algorithm that we evaluate in a closed space using a wireless sensor network to relay the information collected to where the information can be regist...

Full description

Autores:
Martínez Castro, Diego
Aquino Santos, Raúl
Edwards Block, Arthur
Murillo Piedrahita, Andrés Felipe
Tipo de recurso:
Article of journal
Fecha de publicación:
2013
Institución:
Universidad Autónoma de Occidente
Repositorio:
RED: Repositorio Educativo Digital UAO
Idioma:
eng
OAI Identifier:
oai:red.uao.edu.co:10614/12156
Acceso en línea:
http://red.uao.edu.co//handle/10614/12156
Palabra clave:
Redes de sensores
Sensor networks
Wireless sensor networks
Ambieassisted living
Arrhythmia detection algorithm
Rights
openAccess
License
Derechos Reservados - MDPI, 2013
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repository_id_str
dc.title.eng.fl_str_mv Wireless sensor networks for ambient assisted living
title Wireless sensor networks for ambient assisted living
spellingShingle Wireless sensor networks for ambient assisted living
Redes de sensores
Sensor networks
Wireless sensor networks
Ambieassisted living
Arrhythmia detection algorithm
title_short Wireless sensor networks for ambient assisted living
title_full Wireless sensor networks for ambient assisted living
title_fullStr Wireless sensor networks for ambient assisted living
title_full_unstemmed Wireless sensor networks for ambient assisted living
title_sort Wireless sensor networks for ambient assisted living
dc.creator.fl_str_mv Martínez Castro, Diego
Aquino Santos, Raúl
Edwards Block, Arthur
Murillo Piedrahita, Andrés Felipe
dc.contributor.author.none.fl_str_mv Martínez Castro, Diego
Aquino Santos, Raúl
Edwards Block, Arthur
Murillo Piedrahita, Andrés Felipe
dc.subject.armarc.spa.fl_str_mv Redes de sensores
topic Redes de sensores
Sensor networks
Wireless sensor networks
Ambieassisted living
Arrhythmia detection algorithm
dc.subject.armarc.eng.fl_str_mv Sensor networks
dc.subject.proposal.eng.fl_str_mv Wireless sensor networks
Ambieassisted living
Arrhythmia detection algorithm
description This paper introduces wireless sensor networks for Ambient Assisted Living as a proof of concept. Our workgroup has developed an arrhythmia detection algorithm that we evaluate in a closed space using a wireless sensor network to relay the information collected to where the information can be registered, monitored and analyzed to support medical decisions by healthcare providers. The prototype we developed is then evaluated using the TelosB platform. The proposed architecture considers very specific restrictions regarding the use of wireless sensor networks in clinical situations. The seamless integration of the system architecture enables both mobile node and network configuration, thus providing the versatile and robust characteristics necessary for real-time applications in medical situations. Likewise, this system architecture efficiently permits the different components of our proposed platform to interact efficiently within the parameters of this study
publishDate 2013
dc.date.issued.none.fl_str_mv 2013-11
dc.date.accessioned.none.fl_str_mv 2020-03-24T12:44:16Z
dc.date.available.none.fl_str_mv 2020-03-24T12:44:16Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.issn.spa.fl_str_mv 1424-8220
dc.identifier.uri.none.fl_str_mv http://red.uao.edu.co//handle/10614/12156
dc.identifier.instname.spa.fl_str_mv Universidad Autónoma de Occidente
dc.identifier.reponame.spa.fl_str_mv Repositorio Educativo Digital
identifier_str_mv 1424-8220
Universidad Autónoma de Occidente
Repositorio Educativo Digital
url http://red.uao.edu.co//handle/10614/12156
dc.language.iso.eng.fl_str_mv eng
language eng
dc.relation.spa.fl_str_mv Sensor. Volumen 13, número 12, (noviembre 2013); páginas 16384-16405
dc.relation.citationendpage.none.fl_str_mv 16405
dc.relation.citationissue.none.fl_str_mv 12
dc.relation.citationstartpage.none.fl_str_mv 16384
dc.relation.citationvolume.none.fl_str_mv 13
dc.relation.cites.spa.fl_str_mv Martínez Castro, D., Aquino Santos, R., Edwards Block, A., Murillo Piedrahita, A. F. (2013). Wireless sensor networks for ambient assisted living. Sensor. 13(12),16384-16405. http://red.uao.edu.co//handle/10614/12156
dc.relation.ispartofjournal.eng.fl_str_mv Sensors
dc.relation.references.none.fl_str_mv Warneke B., Last M., Liebowitz B., Pister K.S.J. Smart dust: Communicating with a cubic-millimeter computer. Computers. 2001;34:44–51
Kahn J.M., Katz R.H., Pister K.S.J. Next Century Challenges: Mobile Networking for Smart Dust. Proceedings of the International Conference on Mobile Computing and Networking; Seattle, WA, USA. 15–19 August 1999; pp. 271–278
Go A.S., Hylek E.M., Phyllips K.A., Chang Y., Henault L.E., Selby J.V. Prevalence of diagnosed atrial fibrillation in adults: National implications for rhythm management and stroke prevention: The anticoagulation and risk factors in atrial fibrillation (ATRIA) study. J. Am. Med. Assoc. 2001;285:2370–2375
Krco S. Implementation Solution and Issues in Building a Personal Sensor Network for Health Care Monitoring. Proceedings of the 4th Annual IEEE Conference on Information Technology Applications in Biomedicine; Birmingham, UK. 24–26 April 2003; pp. 350–353.
Jin M.-H., Lee R.-G., Kao C.-Y., Wu Y.-R., Hsu D.F., Dong T.-P., Huang K.-T. Sensor Network Design and Implementation for Health Telecare and Diagnosis Assistance Applications. Proceedings of the 11th International Conference on Parallel and Distributed Systems; Fukuoka, Japan. 20–22, July 2005; pp. 407–411
Teller A., Stivoric J. The BodyMedia Platform: Continuous Body Intelligence. Proceedings of the 1st ACM Workshop on Continuous Archival and Retrieval of Personal Experiences; New York, NY, USA. 10–16 October 2004; pp. 114–115
Schwiebert L., Gupta S.K.S., Weinmann J. Research Challenges in Wireless Networks of Biomedical Sensors. Proceedings of the 7th Annual International Conference on Mobile Computing and Networking; Rome, Italy. 16–21 July 2001; pp. 151–165
Zhou B., Hu C., Wang H., Guo R. A Wireless Sensor Network for Pervasive Medical Supervision. Proceedings of the International Conference on Integration Technology; Shenzhen, China. 20–24 March 2007; pp. 740–744
Chen S., Lee H., Chu Y., Chen C. A Variable Control System for Wireless Body Sensor Network. Proceedings of the IEEE International Symposium on Circuits and Systems; Seattle, WA, USA. 18–21 May 2008; pp. 2034–2037
Lorincz K., Welsh M. Motetrack: A robust, decentralized approach to RF-based location tracking. Lecture Notes Comput. Sci. 2005;3479:63–82
Kailanto W., Hyyärinen E., Hyttinen J. Mobile ECG Measurement and Analysis System Using Mobile Phones as the Base Station. Proceedings of Second International Conference on Pervasive Computing Technologies; Tampere, Swedish. 30 January–1 February 2008
Arzeno N., Poon C., Deng Z. Quantitative Analysis of QRS Detection Algorithms Based on the First Derivative of the ECG. Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS' 06); New York, NY, USA. 30 August–3 September 2006
Hsieh J.C., Tzeng W.C., Yang Y.C., Shieh S.M. Detecting ECG Characteristic Points by Novel Hybrid Wavelet Transforms: An Evaluation of Clinical SCP-ECG Database. Proceedings of the Computers in Cardiology; Lyon, France. 25–28 September 2005.
Last T., Nugent C., Owens F. Multi-component based cross correlation beat detection in electrocardiogram analysis. Biomed. Eng. Online. 2004;3:26
Ieong C., Vai M., Mak P. ECG QRS Complex Detection with Programmable Hardware. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS); Vancouver, Canada. 20–24 August 2008
Tompkins W.J. Biomedical Digital Signal Processing: C Language Examples and Laboratory Experiments for the IBM PC. Prentice Hall; Englewood Cliffs, NJ, USA: 1993
Lin X., Lu R., Shen X., Nemoto Y., Kato N. IEEE J. Sel. Areas Commun. Vol. 27. SAGE; 2009. A strong privacy-preserving scheme against global eavesdropping for eHealth systems; pp. 365–378
Lee S., Kim H., Lee S.W. Security Concerns of Identity Authentication and Context Privacy Preservation in uHealthcare Systems. Proceedings of the14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD); Honolulu, HI, USA. 1–3 July 2013; pp. 107–112.
Santos R.A., González-Potes A., García-Ruiz M.A., Rangel-Licea V., Villaseñor-González L.A., Edwards-Block A. Hybrid routing algorithm for emergency and rural wireless networks. Electron. Electr. Eng. J. 2009;89:3–8
Santos R.A., Edwards A., Edwards R.M., Seed N.L. Performance evaluation of routing protocols in vehicular ad-hoc networks. Int. J. Ad Hoc Ubiquitous Comput. 2005;1:80–91
Aquino-Santos R., González-Potes A., Edwards-Block A., Virgen-Ortiz R.A. Developing a new wireless sensor networks platform and its application in precision agriculture. Sensors. 2011;11:1192–1211
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spelling Martínez Castro, Diegovirtual::3001-1Aquino Santos, Raúl0f675d01a574f864530fb6ff8224d285Edwards Block, Arthure0f2afa5190af9d93e7a23dfd25b294fMurillo Piedrahita, Andrés Felipe81749ae54381189ea150b9dfb8a0737d2020-03-24T12:44:16Z2020-03-24T12:44:16Z2013-111424-8220http://red.uao.edu.co//handle/10614/12156Universidad Autónoma de OccidenteRepositorio Educativo DigitalThis paper introduces wireless sensor networks for Ambient Assisted Living as a proof of concept. Our workgroup has developed an arrhythmia detection algorithm that we evaluate in a closed space using a wireless sensor network to relay the information collected to where the information can be registered, monitored and analyzed to support medical decisions by healthcare providers. The prototype we developed is then evaluated using the TelosB platform. The proposed architecture considers very specific restrictions regarding the use of wireless sensor networks in clinical situations. The seamless integration of the system architecture enables both mobile node and network configuration, thus providing the versatile and robust characteristics necessary for real-time applications in medical situations. Likewise, this system architecture efficiently permits the different components of our proposed platform to interact efficiently within the parameters of this studyapplication/pdf22 páginasengMDPISensor. Volumen 13, número 12, (noviembre 2013); páginas 16384-1640516405121638413Martínez Castro, D., Aquino Santos, R., Edwards Block, A., Murillo Piedrahita, A. F. (2013). Wireless sensor networks for ambient assisted living. Sensor. 13(12),16384-16405. http://red.uao.edu.co//handle/10614/12156SensorsWarneke B., Last M., Liebowitz B., Pister K.S.J. Smart dust: Communicating with a cubic-millimeter computer. Computers. 2001;34:44–51Kahn J.M., Katz R.H., Pister K.S.J. Next Century Challenges: Mobile Networking for Smart Dust. Proceedings of the International Conference on Mobile Computing and Networking; Seattle, WA, USA. 15–19 August 1999; pp. 271–278Go A.S., Hylek E.M., Phyllips K.A., Chang Y., Henault L.E., Selby J.V. Prevalence of diagnosed atrial fibrillation in adults: National implications for rhythm management and stroke prevention: The anticoagulation and risk factors in atrial fibrillation (ATRIA) study. J. Am. Med. Assoc. 2001;285:2370–2375Krco S. Implementation Solution and Issues in Building a Personal Sensor Network for Health Care Monitoring. Proceedings of the 4th Annual IEEE Conference on Information Technology Applications in Biomedicine; Birmingham, UK. 24–26 April 2003; pp. 350–353.Jin M.-H., Lee R.-G., Kao C.-Y., Wu Y.-R., Hsu D.F., Dong T.-P., Huang K.-T. Sensor Network Design and Implementation for Health Telecare and Diagnosis Assistance Applications. Proceedings of the 11th International Conference on Parallel and Distributed Systems; Fukuoka, Japan. 20–22, July 2005; pp. 407–411Teller A., Stivoric J. The BodyMedia Platform: Continuous Body Intelligence. Proceedings of the 1st ACM Workshop on Continuous Archival and Retrieval of Personal Experiences; New York, NY, USA. 10–16 October 2004; pp. 114–115Schwiebert L., Gupta S.K.S., Weinmann J. Research Challenges in Wireless Networks of Biomedical Sensors. Proceedings of the 7th Annual International Conference on Mobile Computing and Networking; Rome, Italy. 16–21 July 2001; pp. 151–165Zhou B., Hu C., Wang H., Guo R. A Wireless Sensor Network for Pervasive Medical Supervision. Proceedings of the International Conference on Integration Technology; Shenzhen, China. 20–24 March 2007; pp. 740–744Chen S., Lee H., Chu Y., Chen C. A Variable Control System for Wireless Body Sensor Network. Proceedings of the IEEE International Symposium on Circuits and Systems; Seattle, WA, USA. 18–21 May 2008; pp. 2034–2037Lorincz K., Welsh M. Motetrack: A robust, decentralized approach to RF-based location tracking. Lecture Notes Comput. Sci. 2005;3479:63–82Kailanto W., Hyyärinen E., Hyttinen J. Mobile ECG Measurement and Analysis System Using Mobile Phones as the Base Station. Proceedings of Second International Conference on Pervasive Computing Technologies; Tampere, Swedish. 30 January–1 February 2008Arzeno N., Poon C., Deng Z. Quantitative Analysis of QRS Detection Algorithms Based on the First Derivative of the ECG. Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS' 06); New York, NY, USA. 30 August–3 September 2006Hsieh J.C., Tzeng W.C., Yang Y.C., Shieh S.M. Detecting ECG Characteristic Points by Novel Hybrid Wavelet Transforms: An Evaluation of Clinical SCP-ECG Database. Proceedings of the Computers in Cardiology; Lyon, France. 25–28 September 2005.Last T., Nugent C., Owens F. Multi-component based cross correlation beat detection in electrocardiogram analysis. Biomed. Eng. Online. 2004;3:26Ieong C., Vai M., Mak P. ECG QRS Complex Detection with Programmable Hardware. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS); Vancouver, Canada. 20–24 August 2008Tompkins W.J. Biomedical Digital Signal Processing: C Language Examples and Laboratory Experiments for the IBM PC. Prentice Hall; Englewood Cliffs, NJ, USA: 1993Lin X., Lu R., Shen X., Nemoto Y., Kato N. IEEE J. Sel. Areas Commun. Vol. 27. SAGE; 2009. A strong privacy-preserving scheme against global eavesdropping for eHealth systems; pp. 365–378Lee S., Kim H., Lee S.W. Security Concerns of Identity Authentication and Context Privacy Preservation in uHealthcare Systems. Proceedings of the14th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD); Honolulu, HI, USA. 1–3 July 2013; pp. 107–112.Santos R.A., González-Potes A., García-Ruiz M.A., Rangel-Licea V., Villaseñor-González L.A., Edwards-Block A. Hybrid routing algorithm for emergency and rural wireless networks. Electron. Electr. Eng. J. 2009;89:3–8Santos R.A., Edwards A., Edwards R.M., Seed N.L. Performance evaluation of routing protocols in vehicular ad-hoc networks. Int. J. Ad Hoc Ubiquitous Comput. 2005;1:80–91Aquino-Santos R., González-Potes A., Edwards-Block A., Virgen-Ortiz R.A. Developing a new wireless sensor networks platform and its application in precision agriculture. Sensors. 2011;11:1192–1211Derechos Reservados - MDPI, 2013https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)http://purl.org/coar/access_right/c_abf2Wireless sensor networks for ambient assisted livingArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTREFinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Redes de sensoresSensor networksWireless sensor networksAmbieassisted livingArrhythmia detection algorithmPublication16469e35-6f18-4e0c-acfe-e8a2e314fedfvirtual::3001-116469e35-6f18-4e0c-acfe-e8a2e314fedfvirtual::3001-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000195928virtual::3001-1CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://red.uao.edu.co/bitstreams/e6163610-be41-41b8-b8cd-3a1947c1ef30/download4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81665https://red.uao.edu.co/bitstreams/effb2ae1-a001-4ed2-9d6f-f358d9eaa8a8/download20b5ba22b1117f71589c7318baa2c560MD53ORIGINALWireless sensors-13-16384 (1).pdfWireless sensors-13-16384 (1).pdfapplication/pdf579793https://red.uao.edu.co/bitstreams/09743ec2-3ccb-41ae-ba7c-3774b56ec813/download7a7c289698f3a090ca5dcd86e9a9244eMD54TEXTWireless sensors-13-16384 (1).pdf.txtWireless sensors-13-16384 (1).pdf.txtExtracted texttext/plain52988https://red.uao.edu.co/bitstreams/5422387b-66a5-47e2-9a3e-4826215cf58d/downloadf96f82e8866159fb0e8bd2d74a1298f3MD55THUMBNAILWireless sensors-13-16384 (1).pdf.jpgWireless sensors-13-16384 (1).pdf.jpgGenerated Thumbnailimage/jpeg12495https://red.uao.edu.co/bitstreams/e5b1f6da-4110-4ea1-b60e-ecf14681caa1/downloadf22318e722126fc0b1af140566b1f14fMD5610614/12156oai:red.uao.edu.co:10614/121562024-03-07 16:49:04.979https://creativecommons.org/licenses/by-nc-nd/4.0/Derechos Reservados - MDPI, 2013open.accesshttps://red.uao.edu.coRepositorio Digital Universidad Autonoma de Occidenterepositorio@uao.edu.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