𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Spectral Analysis of Electrocardiographic Signals Based on Wavelet-Packet Processing

✍ Scribed by N. T. Abdullaev; O. A. Dyshin; G. T. Khasmamedova


Publisher
Springer US
Year
2010
Tongue
English
Weight
195 KB
Volume
44
Category
Article
ISSN
0006-3398

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Processing and analysis of transient res
✍ Fang Guangyou πŸ“‚ Article πŸ“… 2002 πŸ› John Wiley and Sons 🌐 English βš– 206 KB

## Abstract The identification of buried objects is one of the challenging and difficult topics in the ground‐penetrating radar (GPR) domain. In this paper, the transient resonant signals from buried perfectly electrical conductors (PECs) are measured by a kind of impulse GPR system. The relationsh

Evaluation of a new proposal for an arci
✍ Andoni Lazkano; Jesus Ruiz; Elisabete Aramendi; Luis A. Leturiondo πŸ“‚ Article πŸ“… 2004 πŸ› John Wiley and Sons 🌐 English βš– 200 KB πŸ‘ 1 views

## Abstract This paper presents a new proposal for detection of arcing faults and evaluates the detection rate and the security level of the proposed method. This method is based on analysis of three‐phase unbalanced current, easily accessible feeder 3__I__~0~, using decomposition of the signal by

On the analysis of fluctuating velocity
✍ Guido Buresti; Giovanni Lombardi; Jacopo Bellazzini πŸ“‚ Article πŸ“… 2004 πŸ› Elsevier Science 🌐 English βš– 421 KB

In the present paper we describe signal processing procedures based on the wavelet and Hilbert transforms, which may be used to characterize the time variation of the amplitude and frequency modulations that are present in the fluctuating components of experimental velocity signals. The classical Hi

APPLICATION OF WAVELET PACKET ANALYSIS F
✍ X. LI; L. QU; G. WEN; C. LI πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 555 KB

This paper primarily focuses on detecting electrical faults in turbine generator sets by monitoring torsional vibrations with the help of the non-contact measurement technique and analysing the data acquired from torsional vibration meter. Torsional vibrations in shaft trains can be excited by perio