Bufferless Compression of Asynchronously Sampled ECG Signals in Cubic Hermitian Vector Space.

Marisa, Thanks; Niederhauser, Thomas; Haeberlin, A.; Wildhaber, R A; Vogel, R; Jacomet, M; Goette, J (2015). Bufferless Compression of Asynchronously Sampled ECG Signals in Cubic Hermitian Vector Space. IEEE transactions on bio-medical engineering, 62(12), pp. 2878-2887. Institute of Electrical and Electronics Engineers 10.1109/TBME.2015.2449901

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Asynchronous level crossing sampling analog-to-digital converters (ADCs) are known to be more energy efficient and produce fewer samples than their equidistantly sampling counterparts. However, as the required threshold voltage is lowered, the number of samples and, in turn, the data rate and the energy consumed by the overall system increases. In this paper, we present a cubic Hermitian vector-based technique for online compression of asynchronously sampled electrocardiogram signals. The proposed method is computationally efficient data compression. The algorithm has complexity O(n), thus well suited for asynchronous ADCs. Our algorithm requires no data buffering, maintaining the energy advantage of asynchronous ADCs. The proposed method of compression has a compression ratio of up to 90% with achievable percentage root-mean-square difference ratios as a low as 0.97. The algorithm preserves the superior feature-to-feature timing accuracy of asynchronously sampled signals. These advantages are achieved in a computationally efficient manner since algorithm boundary parameters for the signals are extracted a priori.

Item Type:

Journal Article (Original Article)


10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Cardiovascular Engineering (CVE)
04 Faculty of Medicine > Department of Cardiovascular Disorders (DHGE) > Clinic of Cardiology

UniBE Contributor:

Marisa, Thanks; Niederhauser, Thomas and Häberlin, Andreas David Heinrich


600 Technology > 610 Medicine & health
600 Technology > 620 Engineering




Institute of Electrical and Electronics Engineers




Andreas Häberlin

Date Deposited:

11 May 2016 08:13

Last Modified:

14 Oct 2020 07:37

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