مقایسهٔ روش‌ها

	Session RPE	نسبت بار کاری حاد به مزمن	بنیستر TRIMP	Time-Motion GPS
حوزه	علوم ورزشی	علوم ورزشی	علوم ورزشی	علوم ورزشی
خانواده	Hypothesis test	Hypothesis test	Hypothesis test	Hypothesis test
سال پیدایش	2001	2016	1975	2010
پدیدآور	Carl Foster	Tim Gabbett	Eric Banister	Osgnach & Di Prampero
نوع	subjective intensity assessment	workload monitoring	mathematical modeling	GPS tracking
منبع بنیادین	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.	Gabbett, T. J. (2016). The training-injury prevention paradox: should athletes be training smarter and harder? British Journal of Sports Medicine, 50(5), 273-280.	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.	Gregory, P., & Drust, B. (2007). Physical demands of rugby union: quantification of accelerations and movements patterns in play. Journal of Strength and Conditioning Research, 21(2), 309-314.
نام‌های دیگر	sRPE, perceived exertion, subjective load	ACWR, workload ratio, training load balance	TRIMP, training impulse, fitness-fatigue model	GPS analysis, movement tracking, workload quantification, physical demands
مرتبط	3	3	3	4
خلاصه	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 acute-chronic workload ratio (ACWR) is the ratio of acute training load (typically the past 1 week) to chronic training load (typically the rolling 4-week average). Formalized by Tim Gabbett (2016), ACWR is a widely adopted metric for predicting injury and illness risk in sports. The logic is straightforward: rapid increases in training load—when acute load spikes far above what the athlete has adapted to—exceed tissue tolerance and increase injury risk. Conversely, maintaining ACWR within optimal ranges (typically 0.8-1.3) is associated with better performance and lower injury incidence. ACWR monitoring is now standard in elite sports for load management.	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.	Time-motion analysis with GPS and micro-sensor technology quantifies the movement patterns, workload, and physical demands during training or match play in team sports. Pioneered by Osgnach and colleagues (2010), modern GPS units track athletes' positions in real-time, calculating distance covered, velocity profiles, and acceleration/deceleration frequencies. Combined with heart rate and other sensor data, GPS analysis provides comprehensive workload quantification enabling coaching staff to monitor player fatigue, balance training intensity, and prevent injury. GPS is now standard in elite soccer, rugby, Australian Rules football, and other intermittent sports.