The Maximum Flywheel Load: A Novel Index to Monitor Loading Intensity of Flywheel Devices.

eccentric overload force force-velocity profile programming speed strength training

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
04 Dec 2021
Historique:
received: 27 10 2021
revised: 26 11 2021
accepted: 02 12 2021
entrez: 10 12 2021
pubmed: 11 12 2021
medline: 15 12 2021
Statut: epublish

Résumé

The main aim of this study was (1) to find an index to monitor the loading intensity of flywheel resistance training, and (2) to study the differences in the relative intensity workload spectrum between the FW-load and ISO-load. twenty-one males participated in the study. Subjects executed an incremental loading test in the squat exercise using a Smith machine (ISO-load) or a flywheel device (FW-load). We studied different association models between speed, power, acceleration, and force, and each moment of inertia was used to find an index for FW-load. In addition, we tested the differences between relative workloads among load conditions using a two-way repeated-measures test. the highest r2 was observed using a logarithmic fitting model between the mean angular acceleration and moment of inertia. The intersection with the x-axis resulted in an index (maximum flywheel load, MFL) that represents a theoretical individual maximal load that can be used. The ISO-load showed greater speed, acceleration, and power outcomes at any relative workload (%MFL vs. % maximum repetition). However, from 45% of the relative workload, FW-load showed higher vertical forces. MFL can be easily computed using a logarithmic model between the mean angular acceleration and moment of inertia to characterize the maximum theoretical loading intensity in the flywheel squat.

Sections du résumé

BACKGROUND BACKGROUND
The main aim of this study was (1) to find an index to monitor the loading intensity of flywheel resistance training, and (2) to study the differences in the relative intensity workload spectrum between the FW-load and ISO-load.
METHODS METHODS
twenty-one males participated in the study. Subjects executed an incremental loading test in the squat exercise using a Smith machine (ISO-load) or a flywheel device (FW-load). We studied different association models between speed, power, acceleration, and force, and each moment of inertia was used to find an index for FW-load. In addition, we tested the differences between relative workloads among load conditions using a two-way repeated-measures test.
RESULTS RESULTS
the highest r2 was observed using a logarithmic fitting model between the mean angular acceleration and moment of inertia. The intersection with the x-axis resulted in an index (maximum flywheel load, MFL) that represents a theoretical individual maximal load that can be used. The ISO-load showed greater speed, acceleration, and power outcomes at any relative workload (%MFL vs. % maximum repetition). However, from 45% of the relative workload, FW-load showed higher vertical forces.
CONCLUSIONS CONCLUSIONS
MFL can be easily computed using a logarithmic model between the mean angular acceleration and moment of inertia to characterize the maximum theoretical loading intensity in the flywheel squat.

Identifiants

pubmed: 34884128
pii: s21238124
doi: 10.3390/s21238124
pmc: PMC8662394
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : University of Seville
ID : CP3786 - CGT0996

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Auteurs

Alejandro Muñoz-López (A)

Departamento de Motricidad Humana y Rendimiento Deportivo, University of Seville, 41013 Seville, Spain.

Pablo Floría (P)

Physical Performance and Sports Research Center, Universidad Pablo de Olavide, 41013 Seville, Spain.

Borja Sañudo (B)

Department of Physical Education, University of Seville, 41013 Seville, Spain.

Javier Pecci (J)

Department of Physical Education, University of Seville, 41013 Seville, Spain.

Jorge Carmona Pérez (J)

Departamento de Motricidad Humana y Rendimiento Deportivo, University of Seville, 41013 Seville, Spain.

Marco Pozzo (M)

SmartCoach Europe AB, 118 20 Stockholm, Sweden.

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Classifications MeSH