Context-aware sensing of physiological signals.

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dc.contributor.authorWu, Winston H
dc.contributor.authorBatalin, Maxim A
dc.contributor.authorAu, Lawrence K
dc.contributor.authorBui, Alex A T
dc.contributor.authorKaiser, William J
dc.date.accessioned2020-02-06T17:57:48Z
dc.date.available2020-02-06T17:57:48Z
dc.date.issued2007-11-16
dc.description.abstractRecent advancement in microsensor technology permits miniaturization of conventional physiological sensors Combined with low power energy aware embedded systems and low power wireless interfaces these sensors now enable patient monitoring in home and workplace environments in addition to the clinic Low energy operation is critical for meeting typical long operating lifetime requirements Some of these physiological sensors such as electrocardiographs ECG introduce large energy demand because of the need for high sampling rate and resolution and also introduce limitations due to reduced user wearability In this paper we show how context aware sensing can provide the required monitoring capability while eliminating the need for energy intensive continuous ECG signal acquisition We have implemented a wearable system based on standard widely used handheld computing hardware components This system relies on a new software architecture and an embedded inference engine developed for these standard platforms The performance of the system is evaluated using experimental data sets acquired for subjects wearing this system during an exercise sequence This same approach can be used in context aware monitoring of diverse physiological signals in a patient s daily life
dc.identifier.urihttp://dx.doi.org/10.1109/IEMBS.2007.4353531
dc.identifier.urihttps://lib.digitalsquare.io/xmlui/handle/123456789/5847
dc.relation.uriConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
dc.subjectAt risk for a particular disease or infection
dc.subjectClient
dc.subjectAccess to information or data
dc.subjectGeographic inaccessibility
dc.subjectPrototype
dc.subjectDisease management
dc.subjectData collection and reporting
dc.subjectSurveillance
dc.subjectPhysiologic Biosensors
dc.titleContext-aware sensing of physiological signals.en
dcterms.abstractRecent advancement in microsensor technology permits miniaturization of conventional physiological sensors Combined with low power energy aware embedded systems and low power wireless interfaces these sensors now enable patient monitoring in home and workplace environments in addition to the clinic Low energy operation is critical for meeting typical long operating lifetime requirements Some of these physiological sensors such as electrocardiographs ECG introduce large energy demand because of the need for high sampling rate and resolution and also introduce limitations due to reduced user wearability In this paper we show how context aware sensing can provide the required monitoring capability while eliminating the need for energy intensive continuous ECG signal acquisition We have implemented a wearable system based on standard widely used handheld computing hardware components This system relies on a new software architecture and an embedded inference engine developed for these standard platforms The performance of the system is evaluated using experimental data sets acquired for subjects wearing this system during an exercise sequence This same approach can be used in context aware monitoring of diverse physiological signals in a patient s daily life
dcterms.contributorWu, Winston H
dcterms.contributorBatalin, Maxim A
dcterms.contributorAu, Lawrence K
dcterms.contributorBui, Alex A T
dcterms.contributorKaiser, William J
dcterms.identifierhttp://dx.doi.org/10.1109/IEMBS.2007.4353531
dcterms.relationConference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
dcterms.subjectAt risk for a particular disease or infection
dcterms.subjectClient
dcterms.subjectAccess to information or data
dcterms.subjectGeographic inaccessibility
dcterms.subjectPrototype
dcterms.subjectDisease management
dcterms.subjectData collection and reporting
dcterms.subjectSurveillance
dcterms.subjectPhysiologic Biosensors
dcterms.titleContext-aware sensing of physiological signals.en
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