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Dive into the research topics where Hung-Fat Tse is active.

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Featured researches published by Hung-Fat Tse.


Pacing and Clinical Electrophysiology | 1998

PROGRAMMED ATRIAL SENSITIVITY : A CRITICAL DETERMINANT IN ATRIAL FIBRILLATION DETECTION AND OPTIMAL AUTOMATIC MODE SWITCHING

Sum-Kin Leung; Chu-Pak Lau; Cathy Tse-Fun Lam; Hung-Fat Tse; Man-Oi Tang; Felsa Lai‐Wah Chung; Gregory Ayers

Automatic mode switching (AMS) prevents tracking of paroxysmal atria] fibrillation (AF) in dual chamber pacing. The correct detection of AF can be affected by the programmed atrial sensitivity (AS). We prospectively studied the relationship between AS, AF under‐sensing, an d AMS, using unfiltered bipolar in tracardiac atrial electrogram s recorded from 17 patients during sinus rhythm (SR) and in AF. Overall, 780 rhythms were recorded and replayed onto three dual chamber pacemaker models using different AMS algorithms (Thera DR 7940, Marathon DDDB 294–09, and Meta DDDH 1254), and the ventricular responses were measured. AS was randomly programmed in steps from the highest available AS to half of the mean atrial P wave amplitude (PWA), and the percentage of appropriate AMS responses (defined as a ventricular pacing rate at the expected AMS mode) were recorded. AMS efficacy was related to the programmed AS settings in an exponential manner. At low AS settings, a higher percentage of tests were associated with absence of, or with intermittent AMS and tracking of AF, whereas at higher AS, oversensing of noise during SR occurred. An optimal AS measured approximately 1.3 mV, representing about one‐third of the PWA measured during SR, although oversensing of SR and undersensing of AF continued to occur in 14% of tests and time, respectively, due to the high variation in PWA during AF. Thus, a fixed AS cannot eliminate AF undersensing without inviting noise oversensing, suggesting the need for automatic adjustments of AS, or the use of a rate‐limiting algorithm to prevent rate oscillation during intermittent AF sensing. In conclusion, AMS functions of existing pacemakers were significantly limited by the undersensing of AF and oversensing of noise. Proper adjustment of the AS is important to enable effective AMS during AF.


Archive | 2003

Bayesian discriminator for rapidly detecting arrhythmias

Weichao Xu; Hung-Fat Tse; Francis Hy Chan; P. C. W. Fung; Chu-Pak Lau


Archive | 2008

Hemodynamic Sensors in Heart Failure Devices

Chu-Pak Lau; Hung-Fat Tse


Clinical Cardiac Pacing, Defibrillation, and Resynchronization Therapy (Third Edition) | 2007

Chapter 16 – Sensor-Driven Pacing: Device Specifics

Chu-Pak Lau; Hung-Fat Tse; G. Neal Kay


Clinical Cardiac Pacing, Defibrillation and Resynchronization Therapy (Fifth Edition) | 2017

10 – Sensors for Implantable Cardiac Pacing Devices

Chu-Pak Lau; Chung-Wah Siu; Hung-Fat Tse


Archive | 2016

Clinical Research Net Clinical Benefit of Dabigatran Over Warfarin in Patients With Atrial Fibrillation Stratified by CHA 2 DS 2 -VASc and Time in Therapeutic Range

Pak-Hei Chan; Duo Huang; Chu-Pak Lau; Esther W. Chan; Hung-Fat Tse; Chung-Wah Siu


Archive | 2016

Clinical Research CHA 2 DS 2 -VASc Recalibration With an Additional Age Category (50-64 Years) Enhances Stroke Risk Stratification in Chinese Patients With Atrial Fibrillation

Pak-Hei Chan; Chu-Pak Lau; Hung-Fat Tse; Chern-En Chiang; Chung-Wah Siu


Archive | 2014

Response or nonresponse to cardiac resynchronization therapy in heart failure_ Lessons from the real world

Chu-Pak Lau; Hung-Fat Tse


Clinical Cardiac Pacing, Defibrillation and Resynchronization Therapy (Fourth Edition) | 2011

5 – Implantable Sensors for Rate Adaptation and Hemodynamic Monitoring

Chu-Pak Lau; Chung-Wah Siu; Hung-Fat Tse


/data/revues/00029149/v88i4/S0002914901016812/ | 2011

Dual-site atrial pacing for atrial fibrillation in patients without bradycardia

Chu-Pak Lau; Hung-Fat Tse; Cheuk-Man Yu; Wee-Siong Teo; Ruth Kam; Kheng-Siang Ng; Stephen Shoei K. Huang; Jiunn-Lee Lin; Stephanie M. Fitts; Douglas A. Hettrick; Michael R. S. Hill

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Chu-Pak Lau

University of Hong Kong

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Chung-Wah Siu

University of California

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Man-Oi Tang

University of Hong Kong

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Pak-Hei Chan

University of Hong Kong

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Douglas A. Hettrick

Medical College of Wisconsin

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Cindy Yung

University of Hong Kong

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Cr Kumana

University of Hong Kong

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Duo Huang

University of Hong Kong

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