Training and Evaluation of Human Cardiorespiratory Endurance Based on a Fuzzy Algorithm
Datos Bibliográficos
| ID | 15463590 |
|---|---|
| Autores | Jui-Chuan Cheng (National Kaohsiung University of Science and Technology), Chao-Yuan Chiu (National Kaohsiung University of Science and Technology), Te‐Jen Su (0000-0001-7241-0576, Kaohsiung Medical University, autor de correspondencia), Te-Jen Su (National Kaohsiung University of Science and Technology) |
| Año | 2019 |
| Volumen | 16 |
| Número | 13 |
| Páginas | 2390-2390 |
| Fecha de publicación | 2019-07-05 |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | International Journal of Environmental Research and Public Health (JOURNAL) |
| Identificadores de la revista | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Editorial | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph16132390 |
| PMID | 31284468 |
| OpenAlex | W2956139917 |
| Idioma | EN |
| Citas recibidas | 1 |
| Referencias citadas | 33 |
Cardiorespiratory endurance refers to the ability of the heart and lungs to deliver oxygen to working muscles during continuous physical activity, which is an important indicator of physical health. Cardiorespiratory endurance is typically measured in the laboratory by maximum oxygen uptake (VO 2max ) which is not a practical method for real-life use. Given the relative difficulty in measuring oxygen consumption directly, we can estimate cardiorespiratory endurance on the basis of heart beat. In this paper, we proposed a fuzzy system based on the human heart rate to provide an effective cardiorespiratory endurance training program and the evaluation of cardiorespiratory endurance levels. Trainers can respond correctly with the help of a smart fitness app to obtain the desired training results and prevent undesirable events such as under-training or over-training. The fuzzy algorithm, which is built for the Android mobile phone operating system receives the resting heart rate (RHR) of the participants via Bluetooth before exercise to determine the suitable training speed mode of a treadmill for the individual. The computer-based fuzzy program takes RHR and heart rate recovery (HRR) after exercise as inputs to calculate the cardiorespiratory endurance level. The experimental results show that after 8 weeks of exercise training, the RHR decreased by an average of 11%, the HRR increased by 51.5%, and the cardiorespiratory endurance evaluation level was also improved. The proposed system can be combined with other methods for fitness instructors to design a training program that is more suitable for individuals
Blood pressure · Cardiorespiratory fitness · Endurance Training · Fuzzy logic · Heart rate · Machine learning · Physical medicine and rehabilitation · Physical therapy · Simulation · Training (meteorology · Treadmill · Ventilatory threshold · VO2 max · Cardiovascular and exercise physiology · Computer Science · Heart Rate Variability and Autonomic Control · Medicine · Non-Invasive Vital Sign Monitoring · Artificial Intelligence · Internal Medicine
| Citas por año | 0,25 |
|---|---|
| Intervalo de citas | 2022 - 2022 (1) |
| Altamente citado | No |