DETECTION OF MULTIFORM PVCS USING A COMBINATION OF TIME-DOMAIN AND FREQUENCY-DOMAIN INFORMATION.

C. N. Mead; S. M. Moore; B. F. Spenner; R. E. Hitchens; K. W. Clark; L. J. Thomas

DETECTION OF MULTIFORM PVCS USING A COMBINATION OF TIME-DOMAIN AND FREQUENCY-DOMAIN INFORMATION.

C. N. Mead, S. M. Moore, B. F. Spenner, R. E. Hitchens, K. W. Clark, L. J. Thomas

Research output: Contribution to journal › Conference article › peer-review

Abstract

An algorithm for the identification and quantification of multiform PVCs (Premature Ventricular Contractions) using a combination of time-domain and frequency-domain analysis has been developed. Initially, PVCs are grouped together on the basis of three morphological ″feature″ measurements. Because variations in signal amplitude and electrical projection of the heart can cause substantial variations in time-domain feature measurements, more than one cluster per PVC form may be generated. Redundant clusters are coalesced using three frequency-domain parameters computed on representatives from each cluster. The three frequency-domain parameters - first spectral moment of the amplitude spectrum, 5 Hz phase angle, and 10 Hz phase angle - successfully consolidate most nonunique time-domain clusters.

Original language	English
Pages (from-to)	343-346
Number of pages	4
Journal	Computers in Cardiology
State	Published - 1978
Event	Comput Cardiol Annu Conf, 5th - Stanford, CA, USA Duration: Sep 12 1978 → Sep 14 1978

Cite this

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title = "DETECTION OF MULTIFORM PVCS USING A COMBINATION OF TIME-DOMAIN AND FREQUENCY-DOMAIN INFORMATION.",

abstract = "An algorithm for the identification and quantification of multiform PVCs (Premature Ventricular Contractions) using a combination of time-domain and frequency-domain analysis has been developed. Initially, PVCs are grouped together on the basis of three morphological ″feature″ measurements. Because variations in signal amplitude and electrical projection of the heart can cause substantial variations in time-domain feature measurements, more than one cluster per PVC form may be generated. Redundant clusters are coalesced using three frequency-domain parameters computed on representatives from each cluster. The three frequency-domain parameters - first spectral moment of the amplitude spectrum, 5 Hz phase angle, and 10 Hz phase angle - successfully consolidate most nonunique time-domain clusters.",

author = "Mead, {C. N.} and Moore, {S. M.} and Spenner, {B. F.} and Hitchens, {R. E.} and Clark, {K. W.} and Thomas, {L. J.}",

year = "1978",

language = "English",

pages = "343--346",

journal = "Computers in Cardiology",

issn = "0276-6574",

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T1 - DETECTION OF MULTIFORM PVCS USING A COMBINATION OF TIME-DOMAIN AND FREQUENCY-DOMAIN INFORMATION.

AU - Mead, C. N.

AU - Moore, S. M.

AU - Spenner, B. F.

AU - Hitchens, R. E.

AU - Clark, K. W.

AU - Thomas, L. J.

PY - 1978

Y1 - 1978

N2 - An algorithm for the identification and quantification of multiform PVCs (Premature Ventricular Contractions) using a combination of time-domain and frequency-domain analysis has been developed. Initially, PVCs are grouped together on the basis of three morphological ″feature″ measurements. Because variations in signal amplitude and electrical projection of the heart can cause substantial variations in time-domain feature measurements, more than one cluster per PVC form may be generated. Redundant clusters are coalesced using three frequency-domain parameters computed on representatives from each cluster. The three frequency-domain parameters - first spectral moment of the amplitude spectrum, 5 Hz phase angle, and 10 Hz phase angle - successfully consolidate most nonunique time-domain clusters.

AB - An algorithm for the identification and quantification of multiform PVCs (Premature Ventricular Contractions) using a combination of time-domain and frequency-domain analysis has been developed. Initially, PVCs are grouped together on the basis of three morphological ″feature″ measurements. Because variations in signal amplitude and electrical projection of the heart can cause substantial variations in time-domain feature measurements, more than one cluster per PVC form may be generated. Redundant clusters are coalesced using three frequency-domain parameters computed on representatives from each cluster. The three frequency-domain parameters - first spectral moment of the amplitude spectrum, 5 Hz phase angle, and 10 Hz phase angle - successfully consolidate most nonunique time-domain clusters.

UR - http://www.scopus.com/inward/record.url?scp=0018285478&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0018285478

SP - 343

EP - 346

JO - Computers in Cardiology

JF - Computers in Cardiology

SN - 0276-6574

Y2 - 12 September 1978 through 14 September 1978

ER -

DETECTION OF MULTIFORM PVCS USING A COMBINATION OF TIME-DOMAIN AND FREQUENCY-DOMAIN INFORMATION.

Abstract

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