Vertaile menetelmiä

	Yhden toiston maksimin (1RM) estimointi	Isokineettinen dynamometria
Tieteenala	Liikuntatiede	Liikuntatiede
Menetelmäperhe	Hypothesis test	Hypothesis test
Syntyvuosi	1993	1967
Kehittäjä	Matt Brzycki	Henry Hislop
Tyyppi	submaximal prediction	constant-velocity testing
Alkuperäislähde	Brzycki, M. (1993). Strength testing: predicting a one-rep max from reps-to-fatigue. Journal of Physical Education, Recreation and Dance, 64(1), 88-90.	Hislop, H. J., & Perrine, J. J. (1967). The isokinetic concept of exercise. Physical Therapy, 47(2), 114-117.
Rinnakkaisnimet	one-rep max prediction, estimated 1RM, strength prediction, maximal strength assessment	isokinetic testing, constant velocity testing, dynamometric testing
Liittyvät	5	5
Tiivistelmä	One-repetition maximum (1RM) estimation is a method to predict an athlete's maximum strength in a given lift without performing an actual maximal single repetition. Developed systematically by Matt Brzycki (1993) and refined by numerous researchers, 1RM estimation uses submaximal loads and repetition performance to extrapolate a strength ceiling. Rather than exposing untrained individuals, older adults, or post-injury athletes to the stress and injury risk of true 1RM testing, estimation provides a safer, time-efficient alternative. Multiple prediction equations exist, with varying accuracy depending on population and lift type.	Isokinetic dynamometry measures muscular strength and power production during movement at a constant, preset velocity. Pioneered by Hislop and Perrine (1967), isokinetic testing constrains limb velocity to a fixed speed (e.g., 60°/s or 120°/s), while the dynamometer adjusts resistance to match the subject's force production at each instant, accommodating all variations in force throughout the range of motion. This approach provides comprehensive strength profiling across a full joint range and allows comparison of concentric and eccentric contractions. Isokinetic testing is widely used in clinical rehabilitation, sports medicine, and research due to its objectivity and standardization.