Open AccessMethod and VLSI implementation of lossy‐to‐lossless LTM ECG compression framework
Author(s) -
Zhu Huaiyu,
Pan Yun,
Li Ke,
Huan Ruohong
Publication year - 2019
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2018.5014
Subject(s) - lossless compression , lossy compression , computer science , very large scale integration , data compression , pipeline (software) , compression (physics) , electronic engineering , algorithm , artificial intelligence , embedded system , engineering , materials science , programming language , composite material
A lossy‐to‐lossless compression framework for electrocardiogram (ECG) signals is proposed for wearable monitoring devices. In this framework, the tail bits of the coefficients generated by the lifting discrete wavelet transform of the ECG sequences are truncated at different levels configured according to the tolerance of the information loss, while no truncation for lossless compression. These processed coefficients are then encoded with the modified run length code. The algorithm is evaluated by the MIT‐BIH arrhythmia database, where the experimental results show that the proposed framework achieves a better comprehensive performance than existing state‐of‐the‐art lossy‐to‐lossless compression approaches. The authors further demonstrate a three‐stage pipeline very large scale integration (VLSI) implementation of the compression framework, which can be used as an intellectual property core with a core area of 0.4 mm 2 and achieves power consumption of 1.524 μW at 360 Hz in a 0.18 μm CMOS technology.