VLSI implementation of low‐power cost‐efficient lossless ECG encoder design for wireless healthcare monitoring application - Chen, S.‐L.; Wang, J.‐G (Electronics letters, 2013)
Keywords: adaptive rending predictor; Applied sciences; arithmetic unit; Biological and medical sciences; CMOS integrated circuits; CMOS process; Coding, codes; computerised monitoring; data compression; ECG signal compression; electrocardiography; Electrocardiography. Vectocardiography; Electrodiagnosis. Electric activity recording; Electronics; entropy codes; entropy encoder; Exact sciences and technology; frequency; frequency 100 MHz; gate counts; health care; Huffman codes; Huffman coding table; Information, signal and communications theory; Integrated circuits; Integrated circuits by function (including memories and processors); Investigative techniques, diagnostic techniques (general aspects); lookup table; lossless compression algorithm; lossless ECG encoder design; Medical sciences; medical signal processing; MIT‐BIH Arrhythmia database; Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques; patient monitoring; pipeline arithmetic; pipeline technology; power; power 36.4 muW; Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices; Signal and communications theory; size; size 0.18 mum; table lookup; Telecommunications and information theory; VLSI; VLSI architecture; wireless healthcare monitoring application; Signal compression; High performance; Lossless circuit; VLSI circuit; Circuit design; Pipeline processor; Huffman code; Data compression; Lossless compression; Information rate; Low power; Adaptive method; Energy savings; Pipeline; Storage; Electrocardiography; Wireless network; Arrhythmia (physiology); Monitoring