Aydin, M. C.Çetin, A. EnisKöymen, Hayrettin2016-02-082016-02-0819910013-5194http://hdl.handle.net/11693/26173A data compression technique is presented for discrete-time electrocardiogram signals. The single lead electrocardiogram signal is decomposed into several multiresolution subsignals by using a quadrature mirror filter bank. The resultant subsignals are compressed according to their frequency contents using various coding methods, including a discrete cosine transform based technique and pulse code modulation with variable length coding. Compression ratios as high as 5.7 are obtained without introducing any visual distortion.EnglishCodes, Symbolic - ApplicationsInformation Theory - Data CompressionMathematical Transformations - ApplicationsDiscrete Cosine TransformDiscrete-Time Electrocardiogram SignalsECG Data CompressionMultiresolution Sub-SignalsQuadrature Mirror Filter BankSub-Band CodingBiomedical EngineeringArticle10.1049/el:19910227