title: Effect of wavelet compression on data transmission in a multipurpose wireless telemedicine system.
abstract: We 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.
authors.affiliation: E-Med Systems and Health Engineering Group, Department of Electronic and Computer Engineering, Brunel University, Uxbridge, Middlesex, UK. Robert.Istepanian@brunel.ac.uk
authors.forename: R S
authors.initials: RS
authors.lastname: Istepanian
authors.forename: E
authors.initials: E
authors.lastname: Kyriacou
authors.forename: S
authors.initials: S
authors.lastname: Pavlopoulos
authors.forename: D
authors.initials: D
authors.lastname: Koutsouris
mesh_terms: D000465:Algorithms; D004562:Electrocardiography / Q000379:methods / Q000592:standards; D004632:Emergency Medical Services / Q000592:standards*; D006801:Humans; D017215:Satellite Communications / Q000592:standards; D017216:Telemedicine / Q000379:methods* / Q000592:standards; D013686:Telemetry / Q000295:instrumentation* / Q000379:methods / Q000592:standards; D013689:Telephone / Q000592:standards