6533b86cfe1ef96bd12c8d09

RESEARCH PRODUCT

Jump Height from Inertial Recordings : A Tutorial for a Sports Scientist

Timo RantalainenTaija FinniSimon Walker

subject

AdultMalegyroscopeInertial frame of referenceCorrelation coefficientAdolescentMovementPhysical Therapy Sports Therapy and Rehabilitation030204 cardiovascular system & hematologyAccelerometerwearablelaw.invention03 medical and health sciencesWearable Electronic DevicesYoung Adult0302 clinical medicineInertial measurement unitlawAccelerometryHumansOrthopedics and Sports MedicineliikeanalyysiChildsignal processingSimulationMathematicsAgedinertial measurement unitLimits of agreementGyroscope030229 sport sciencesMiddle AgedBiomechanical PhenomenamittausmenetelmätaccelerometerArm swingJumpExercise TestFemalehyppääminenperformance

description

Jump performance provides meaningful information both for sporting and clinical needs. Current state-of-the-art in jump performance assessment is laboratory-bound, however, out-of-the-laboratory methods are desirable. Therefore, the purposes of the present investigation were 1) to explore whether utilising a novel analytical approach minimises the bias between inertial recording unit (IMU)-based and jump mat-based jump height estimates, and 2) to provide a thorough tutorial for a sport scientist (see appendix) to facilitate standardisation of jump height estimation. Forty one women, men and boys aged 6 to 77 years-of-age completed three maximal counter movement jumps without arm swing, which were concurrently registered with a jump mat, and an IMU worn in low lumbar region. Excellent agreement between the novel IMU-based jump height and jump mat jump height was observed (mean IMU 22.6 [8.3] cm, mean jump mat 22.7 [8.9], mean bias -0.1 cm [95% limits of agreement -4.5 cm to 4.4 cm; p = 0.826], intra-class correlation coefficient 0.97 [95% CI 0.94 to 0.98, p < 0.001]). In conclusion, inertial recordings conducted with lightweight IMUs worn on the hip provide a valid and feasible assessment of jump height among people with varying athletic ability. Inertial signals have the potential to afford (at least semi-) automated analysis pipeline with low labour cost thus being potentially feasible in applied settings such as in professional sports or in the clinics. peerReviewed

http://urn.fi/URN:NBN:fi:jyu-201912115220