title: A low cost quadratic level ECG compression algorithm and its hardware optimization for body sensor network system.
abstract: A low cost quadratic level compression algorithm is proposed for body sensor network system. The proposed algorithm reduces the encoding delay and the hardware cost, while maintaining the reconstructed signal quality. The quadratic compression level determined by the mean deviation value is used to preserve the critical information with high compression ratio. The overall CR is 8.4:1, the PRD is 0.897% and the encoding rate is 6.4 Mbps. The 16-bit sensor node processor is designed, which supports the proposed compression algorithm. The processor consumes 0.56 nJ/bit at 1 V supply voltage with 1 MHz operating frequency in 0.25-microm CMOS process.
authors.affiliation: Korea Advanced Institute of Science and technology (KAIST), 373-1, Guseongdong, Yuseong-gu, Daejeon 305-701, Republic of Korea. seeseah@eeinfo.kaist.ac.kr
authors.forename: Hyejung
authors.initials: H
authors.lastname: Kim
authors.forename: Yongsang
authors.initials: Y
authors.lastname: Kim
authors.forename: Hoi-Jun
authors.initials: HJ
authors.lastname: Yoo
mesh_terms: D000465:Algorithms; D003195:Computer Communication Networks / Q000295:instrumentation; D017076:Computer-Aided Design; D044962:Data Compression / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation* / Q000379:methods*; D015716:Electrocardiography, Ambulatory / Q000295:instrumentation* / Q000379:methods*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*