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| Оценка на натоварването от сесията (sRPE)× | TRIMP на Банистър× | |
|---|---|---|
| Област | Спортна наука | Спортна наука |
| Семейство | Hypothesis test | Hypothesis test |
| Година на възникване≠ | 2001 | 1975 |
| Създател≠ | Carl Foster | Eric Banister |
| Тип≠ | subjective intensity assessment | mathematical modeling |
| Основополагащ източник≠ | Foster, C., Florhaug, J. A., Franklin, J., Gottschall, L., Hrovatin, L. A., Parker, S., & Dodge, C. (2001). A new approach to monitoring exercise training. Journal of Strength and Conditioning Research, 15(1), 109-115. DOI ↗ | Banister, E. W., Calvert, T. W., Savage, M. V., & Bach, T. (1975). A systems model of training responses and its relationship to muscular strength. Transactions of the ASME, 97(3), 177-183. link ↗ |
| Други названия | sRPE, perceived exertion, subjective load | TRIMP, training impulse, fitness-fatigue model |
| Свързани | 3 | 3 |
| Резюме≠ | Session rate of perceived exertion (sRPE) is a simple, athlete-centered method to quantify training load by combining perceived exertion intensity (RPE, 0-10 scale) with session duration. Introduced by Carl Foster (2001), sRPE avoids the need for external equipment (heart rate monitors, GPS, force plates) and captures the integrated physiological and psychological demands of any training modality. Despite its simplicity, sRPE correlates well with objective physiological markers (heart rate, lactate, VO2) and is widely adopted in elite and recreational sports for load management and recovery planning. | The Training Impulse (TRIMP) model, developed by Eric Banister and colleagues (1975), quantifies the physiological stimulus of a training session by combining duration and intensity. The Banister fitness-fatigue model proposes that training effects on performance follow two opposing dynamics: fitness (beneficial) accumulates with time constant tau_f (~42 days) and fatigue (temporary decrement) accumulates faster but decays quickly (tau_d ~5-10 days). By tracking TRIMP and modeling these two processes, coaches can predict performance trajectories and optimize training load. Although superseded by newer frameworks, the Banister model remains influential and intuitive. |
| ScholarGateНабор от данни ↗ |
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