During the course of investigation for palpitations, a 62-year-old man underwent exercise testing using a MARQUETTE CASE 12 computerized exercise testing system. By stage III of the modified Bruce protocol, the computer-generated electrocardiogram appeared to show the development of exercise-induced preexcitation. Closer examination of the raw unfiltered data showed this to be a computer-generated artifact rather than true preexcitation. This artifact arose due to inherent limitations common to all computerized exercise testing systems and emphasizes the need to always review raw data, even when a seemingly clear-cut abnormality is present on a computer-averaged electrocardiogram.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/0022-0736(91)90032-h | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Effect of Balloon-Dilated Restenosis on Exercise Performance and Cardiac Function in Children After Coarctation Repair.
Pediatr Cardiol
January 2025
Department of Cardiac Surgery, University Hospital of Gent, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
Restenosis occurs commonly after aortic coarctation (CoA) repair, usually requiring treatment by balloon dilation. Its effect on physical exercise performance is not documented. A retrospective analysis of exercise testing and echocardiographic assessment was performed in children after CoA repair.
View Article and Find Full Text PDFEffects of functional strength training on pain, function, and lower extremity biomechanics in patients with patellofemoral pain syndrome: a randomized clinical trial.
J Orthop Surg Res
January 2025
Institute of Sport, Exercise & Health, Tianjin University of Sport, Tianjin, China.
Background: Patellofemoral pain syndrome (PFPS) is a common disorder affecting the lower extremity. This study aimed to compare the effects of functional strength training (FST) and standard strength training (SST) in PFPS patients.
Methods: Forty college students (aged 18-30 years) with PFPS and no exercise habits were randomized into FST group (n = 20) and SST group (n = 20).
Validation of an Aerobic Fitness Questionnaire to estimate VO peak in a cohort of adult cardiac patients - Is it enough?
Rev Port Cardiol
January 2025
Cardiology Department, Santa Cruz Hospital, Lisbon, Portugal; Cardiac Rehabilitation Unit, Santa Cruz Hospital, Lisbon, Portugal.
Introduction And Objectives: Cardiopulmonary exercise testing (CPET) is the gold standard for quantifying aerobic functional capacity, yet it is costly and not widely available. The CLINIMEX Aerobic Fitness Questionnaire (C-AFQ) may be a practical alternative as it estimates oxygen consumption at peak exercise (VO peak) based on patients' responses to a list of activities with known energy requirements. However, its applicability in cardiac patients is unclear and has not yet been studied.
View Article and Find Full Text PDFNovel c.221+1dup pathogenic variant in AGK gene linked to Sengers syndrome.
Neuromuscul Disord
December 2024
University of Florida College of Medicine - Jacksonville, Jacksonville, FL, USA.
Sengers Syndrome (SS) is a rare autosomal recessive mitochondrial disorder caused by mutations in the acylglycerol kinase (AGK) gene on chromosome 7, also known as cardiomyopathic mitochondrial DNA depletion syndrome (MTDPS10). This disorder disrupts mitochondrial DNA function and energy metabolism, presenting with symptoms such as congenital cataracts, hypertrophic cardiomyopathy, skeletal myopathy, exercise intolerance, and lactic acidosis. Previous research has shown SS affects oxidative phosphorylation and mitochondrial respiration, implicating the TIM22 complex and carrier import.
View Article and Find Full Text PDFOptimized assessment of physical rehabilitation exercises using spatiotemporal, sequential graph-convolutional networks.
Comput Biol Med
January 2025
IMT Atlantique, Lab-STICC, UMR CNRS 6285, team RAMBO, F-29238 Brest, France.
Rehabilitation is the process of helping people regain or improve lost or impaired function due to injury, illness, or disease. To assist in tracking the progress of patients undergoing rehabilitation, this paper proposes a lightweight graph-based deep-learning model for the automatic assessment of physical rehabilitation exercises. The model takes as input the 3D skeleton sequence of a patient performing a movement and outputs a continuous quality score, as a means for patient supervision that could complement or even substitute the need for ordinary clinical exams.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!