Multiresolution wavelet analysis for efficient analysis compression and remote display of long-term physiological signals

L. Y. Khuan, M. Bister, P. Blanchfield, Y. M. Salleh, Raymond Azman Ali, T. H. Chan

Research output: Contribution to journalArticle

Abstract

Increased inter-equipment connectivity coupled with advances in Web technology allows ever escalating amounts of physiological data to be produced, far too much to be displayed adequately on a single computer screen. The consequence is that large quantities of insignificant data will be transmitted and reviewed. This carries an increased risk of overlooking vitally important transients. This paper describes a technique to provide an integrated solution based on a single algorithm for the efficient analysis, compression and remote display of long-term physiological signals with infrequent short duration, yet vital events, to effect a reduction in data transmission and display cluttering and to facilitate reliable data interpretation. The algorithm analyses data at the server end and flags significant events. It produces a compressed version of the signal at a lower resolution that can be satisfactorily viewed in a single screen width. This reduced set of data is initially transmitted together with a set of 'flags' indicating where significant events occur. Subsequent transmissions need only involve transmission of flagged data segments of interest at the required resolution. Efficient processing and code protection with decomposition alone is novel. The fixed transmission length method ensures clutter-less display, irrespective of the data length. The flagging of annotated events in arterial oxygen saturation, electroencephalogram and electrocardiogram illustrates the generic property of the algorithm. Data reduction of 87% to 99% and improved displays are demonstrated.

Original languageEnglish
Pages (from-to)216-228
Number of pages13
JournalAustralasian Physical and Engineering Sciences in Medicine
Volume29
Issue number2
Publication statusPublished - Jun 2006

Fingerprint

Wavelet Analysis
Wavelet analysis
Data Display
Display devices
Speech Disorders
Electroencephalography
Electrocardiography
Data communication systems
Oxygen
Technology
Equipment and Supplies
Data reduction
Servers
Decomposition
Processing

Keywords

  • Data reduction
  • Display cluttering
  • Event detection
  • Mallat algorithm
  • Multiresolution wavelets

ASJC Scopus subject areas

  • Biophysics
  • Bioengineering

Cite this

Multiresolution wavelet analysis for efficient analysis compression and remote display of long-term physiological signals. / Khuan, L. Y.; Bister, M.; Blanchfield, P.; Salleh, Y. M.; Ali, Raymond Azman; Chan, T. H.

In: Australasian Physical and Engineering Sciences in Medicine, Vol. 29, No. 2, 06.2006, p. 216-228.

Research output: Contribution to journalArticle

@article{ebe2838354654e66a1e89a9dd5b14d25,
title = "Multiresolution wavelet analysis for efficient analysis compression and remote display of long-term physiological signals",
abstract = "Increased inter-equipment connectivity coupled with advances in Web technology allows ever escalating amounts of physiological data to be produced, far too much to be displayed adequately on a single computer screen. The consequence is that large quantities of insignificant data will be transmitted and reviewed. This carries an increased risk of overlooking vitally important transients. This paper describes a technique to provide an integrated solution based on a single algorithm for the efficient analysis, compression and remote display of long-term physiological signals with infrequent short duration, yet vital events, to effect a reduction in data transmission and display cluttering and to facilitate reliable data interpretation. The algorithm analyses data at the server end and flags significant events. It produces a compressed version of the signal at a lower resolution that can be satisfactorily viewed in a single screen width. This reduced set of data is initially transmitted together with a set of 'flags' indicating where significant events occur. Subsequent transmissions need only involve transmission of flagged data segments of interest at the required resolution. Efficient processing and code protection with decomposition alone is novel. The fixed transmission length method ensures clutter-less display, irrespective of the data length. The flagging of annotated events in arterial oxygen saturation, electroencephalogram and electrocardiogram illustrates the generic property of the algorithm. Data reduction of 87{\%} to 99{\%} and improved displays are demonstrated.",
keywords = "Data reduction, Display cluttering, Event detection, Mallat algorithm, Multiresolution wavelets",
author = "Khuan, {L. Y.} and M. Bister and P. Blanchfield and Salleh, {Y. M.} and Ali, {Raymond Azman} and Chan, {T. H.}",
year = "2006",
month = "6",
language = "English",
volume = "29",
pages = "216--228",
journal = "Australasian Physical and Engineering Sciences in Medicine",
issn = "0158-9938",
publisher = "Springer Netherlands",
number = "2",

}

TY - JOUR

T1 - Multiresolution wavelet analysis for efficient analysis compression and remote display of long-term physiological signals

AU - Khuan, L. Y.

AU - Bister, M.

AU - Blanchfield, P.

AU - Salleh, Y. M.

AU - Ali, Raymond Azman

AU - Chan, T. H.

PY - 2006/6

Y1 - 2006/6

N2 - Increased inter-equipment connectivity coupled with advances in Web technology allows ever escalating amounts of physiological data to be produced, far too much to be displayed adequately on a single computer screen. The consequence is that large quantities of insignificant data will be transmitted and reviewed. This carries an increased risk of overlooking vitally important transients. This paper describes a technique to provide an integrated solution based on a single algorithm for the efficient analysis, compression and remote display of long-term physiological signals with infrequent short duration, yet vital events, to effect a reduction in data transmission and display cluttering and to facilitate reliable data interpretation. The algorithm analyses data at the server end and flags significant events. It produces a compressed version of the signal at a lower resolution that can be satisfactorily viewed in a single screen width. This reduced set of data is initially transmitted together with a set of 'flags' indicating where significant events occur. Subsequent transmissions need only involve transmission of flagged data segments of interest at the required resolution. Efficient processing and code protection with decomposition alone is novel. The fixed transmission length method ensures clutter-less display, irrespective of the data length. The flagging of annotated events in arterial oxygen saturation, electroencephalogram and electrocardiogram illustrates the generic property of the algorithm. Data reduction of 87% to 99% and improved displays are demonstrated.

AB - Increased inter-equipment connectivity coupled with advances in Web technology allows ever escalating amounts of physiological data to be produced, far too much to be displayed adequately on a single computer screen. The consequence is that large quantities of insignificant data will be transmitted and reviewed. This carries an increased risk of overlooking vitally important transients. This paper describes a technique to provide an integrated solution based on a single algorithm for the efficient analysis, compression and remote display of long-term physiological signals with infrequent short duration, yet vital events, to effect a reduction in data transmission and display cluttering and to facilitate reliable data interpretation. The algorithm analyses data at the server end and flags significant events. It produces a compressed version of the signal at a lower resolution that can be satisfactorily viewed in a single screen width. This reduced set of data is initially transmitted together with a set of 'flags' indicating where significant events occur. Subsequent transmissions need only involve transmission of flagged data segments of interest at the required resolution. Efficient processing and code protection with decomposition alone is novel. The fixed transmission length method ensures clutter-less display, irrespective of the data length. The flagging of annotated events in arterial oxygen saturation, electroencephalogram and electrocardiogram illustrates the generic property of the algorithm. Data reduction of 87% to 99% and improved displays are demonstrated.

KW - Data reduction

KW - Display cluttering

KW - Event detection

KW - Mallat algorithm

KW - Multiresolution wavelets

UR - http://www.scopus.com/inward/record.url?scp=33746061692&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33746061692&partnerID=8YFLogxK

M3 - Article

C2 - 16845928

AN - SCOPUS:33746061692

VL - 29

SP - 216

EP - 228

JO - Australasian Physical and Engineering Sciences in Medicine

JF - Australasian Physical and Engineering Sciences in Medicine

SN - 0158-9938

IS - 2

ER -