Effect of wavelet compression on data transmission in a multipurpose wireless telemedicine system.

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dc.contributor.authorIstepanian, R S
dc.contributor.authorKyriacou, E
dc.contributor.authorPavlopoulos, S
dc.contributor.authorKoutsouris, D
dc.date.accessioned2020-02-12T12:03:20Z
dc.date.available2020-02-12T12:03:20Z
dc.date.issued2001-09-28
dc.description.abstractWe have developed a novel emergency telemedicine system which allows the transmission of physiological data electrocardiogram oximetry blood pressure and temperature and still images of the patient The transmission is performed through wireless links using either GSM mobile phones or satellite Because of the low bandwidth available through these links data compression is required to allow realtime transmission of electrocardiographic ECG data A new integrated design approach for an optimal zonal wavelet compression OZWC method was implemented for the ECG data The performance of the mobile system with compressed ECG data segments was evaluated in terms of the percentage root mean square difference and visual inspection The optimum wavelet algorithm achieved a maximum compression ratio of 18 1 with low distortion
dc.identifier.urihttp://dx.doi.org/Not available
dc.identifier.urihttps://lib.digitalsquare.io/xmlui/handle/123456789/59373
dc.relation.uriJournal of telemedicine and telecare
dc.titleEffect of wavelet compression on data transmission in a multipurpose wireless telemedicine system.en
dcterms.abstractWe have developed a novel emergency telemedicine system which allows the transmission of physiological data electrocardiogram oximetry blood pressure and temperature and still images of the patient The transmission is performed through wireless links using either GSM mobile phones or satellite Because of the low bandwidth available through these links data compression is required to allow realtime transmission of electrocardiographic ECG data A new integrated design approach for an optimal zonal wavelet compression OZWC method was implemented for the ECG data The performance of the mobile system with compressed ECG data segments was evaluated in terms of the percentage root mean square difference and visual inspection The optimum wavelet algorithm achieved a maximum compression ratio of 18 1 with low distortion
dcterms.contributorIstepanian, R S
dcterms.contributorKyriacou, E
dcterms.contributorPavlopoulos, S
dcterms.contributorKoutsouris, D
dcterms.identifierhttp://dx.doi.org/Not available
dcterms.relationJournal of telemedicine and telecare
dcterms.titleEffect of wavelet compression on data transmission in a multipurpose wireless telemedicine system.en
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