Paper Info
Title
AmIRTEM: A Functional Model for Training of Aerobic Endurance for Health Improvement
Abstract
In a nonstrenuous exercise, the heart rate (HR) shows a linear relationship with the maximum volume of oxygen consumption VO(2Max) and serves as an indicator of performance of the cardiovascular system. The HR replaces the %VO(2Max) in exercise program prescription to improve aerobic endurance. In order to achieve an optimal effect in an endurance training, the athlete needs to work out at an HR high enough to trigger the aerobic metabolism, while avoiding the very high HRs that bring along significant risks of myocardial infarction. The minimal and optimal base training programs, followed by stretching exercises to prevent injuries, are adequate programs to maximize benefits and minimize health risks for the cardiovascular system during single session training. In this paper, we have defined a functional model for an ambient intelligence system that monitors, evaluates, and trains the aerobic endurance. It is based on the Android operating system and the Gow Running smart shirt. The system has been evaluated during functional assessment stress testing of aerobic endurance in the Stress Physiology Laboratory (SPL) of the Technical University of Madrid. Furthermore, a voice system designed to guide the user through minimal and optimal base training programs has been evaluated. The results obtained fully confirm the model with a high correlation between the data collected by the system and the by SPL. There is also a high hit rate between training sessions of the users and the objective training functions defined in the training programs.
Year
DOI
Venue
2012
10.1109/TBME.2012.2207953
Biomedical Engineering, IEEE Transactions
Keywords
Field
DocType
biomechanics,electrocardiography,injuries,sport,AmIRTEM,Android operating system,ECG,Gow running smart shirt,SPL system,aerobic endurance training,aerobic metabolism,ambient intelligence system,athlete,cardiovascular system,data collection,electrocardiogram,functional assessment stress testing,health improvement,health risks,heart rate,injuries,linear relationship,minimal base training program,myocardial infarction,nonstrenuous exercise,objective training functions,optimal base training program,oxygen consumption maximum volume,single session training,stress physiology laboratory,stretching exercises,voice system,Aerobic endurance,Android,heart rate (HR),model,smart shirt
Hit rate,Endurance training,Computer science,Ambient intelligence,Physical therapy,Stress testing,Stretching exercises,Heart rate,Technical university,Aerobic exercise
Journal
Volume
Issue
ISSN
59
11
0018-9294
Citations 
PageRank 
References 
2
0.64
0
Authors
4
Name
Order
Citations
PageRank
Eugenio Gaeta1182.41
Gloria Cea221.32
María Teresa Arredondo39022.52
Leuteritz, J.P.420.64