title: Cubic spline interpolation with overlapped window and data reuse for on-line Hilbert Huang transform biomedical microprocessor.
abstract: On-chip implementation of Hilbert-Huang transform (HHT) has great impact to analyze the non-linear and non-stationary biomedical signals on wearable or implantable sensors for the real-time applications. Cubic spline interpolation (CSI) consumes the most computation in HHT, and is the key component for the HHT processor. In tradition, CSI in HHT is usually performed after the collection of a large window of signals, and the long latency violates the realtime requirement of the applications. In this work, we propose to keep processing the incoming signals on-line with small and overlapped data windows without sacrificing the interpolation accuracy. 58% multiplication and 73% division of CSI are saved after the data reuse between the data windows.
authors.affiliation: School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan.
authors.forename: Nai-Fu
authors.initials: NF
authors.lastname: Chang
authors.forename: Cheng-Yi
authors.initials: CY
authors.lastname: Chiang
authors.forename: Tung-Chien
authors.initials: TC
authors.lastname: Chen
authors.forename: Liang-Gee
authors.initials: LG
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D000818:Animals; D001698:Biomedical Engineering / Q000295:instrumentation* / Q000379:methods; D004569:Electroencephalography / Q000379:methods; D004867:Equipment Design; D006801:Humans; D008838:Microcomputers; D015233:Models, Statistical; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D009991:Oscillometry / Q000379:methods; D051381:Rats; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D014159:Transducers