VLSI Implementation of Multi-Channel ECG Lossless Compression System

Autor:	Ding-Bang Lin, Nai-Chieh Tung, Tsung-Han Tsai
Rok vydání:	2021
Předmět:	Lossless compression Hardware architecture Very-large-scale integration Computer science business.industry Linear prediction Data_CODINGANDINFORMATIONTHEORY Gate count Golomb coding Entropy encoding Electrical and Electronic Engineering business Throughput (business) Computer hardware
Zdroj:	IEEE Transactions on Circuits and Systems II: Express Briefs. 68:2962-2966
ISSN:	1558-3791 1549-7747
DOI:	10.1109/tcsii.2021.3071757
Popis:	Electrocardiogram (ECG) is used to record the electrical activity of heart. If the instrument monitoring the signal for a long time, it will produce large amount of data. So, the effective lossless ECG compression system can help to reduce the storage space. This brief presents a hardware architecture of multi-channel lossless ECG compression system. The system is based on the algorithm including multi-channel linear prediction and adaptive linear prediction. Also, Golomb rice code (GRC) is used for entropy coding. The hardware implementation has been designed with low hardware complexity usage while using optimum hardware resources. And the architecture can process multiple channels in parallel that can obtain the high throughput. PTB database has been used for verification and testing purposes. This design was implemented in TSMC 180nm. The implementation results show the gate count is 476K and power consumption is $69.18\mu \text{W}$ while working frequency is 1 KHz.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ea84f289f92e6916c9d459238bea0972 https://doi.org/10.1109/tcsii.2021.3071757 Zobrazit plný text záznamu