This paper is in the following e-collection/theme issue:

Portable and Mobile Technologies for Rehabilitation (151)

Published on in Vol 2, No 2 (2015): Jul-Dec

Mobile Jump Assessment (mJump): A Descriptive and Inferential Study

Mobile Jump Assessment (mJump): A Descriptive and Inferential Study

Mobile Jump Assessment (mJump): A Descriptive and Inferential Study

Authors of this article:

Alvaro Mateos-Angulo1 Author Orcid Image ;   Alejandro Galán-Mercant1 Author Orcid Image ;   Antonio Cuesta-Vargas1 Author Orcid Image
Article Authors Cited by (6) Tweetations (6) Metrics

Journals

  1. Mateos-Angulo A, Galán-Mercant A, Cuesta-Vargas A. Kinematic Mobile Drop Jump Analysis at Different Heights Based on a Smartphone Inertial Sensor. Journal of Human Kinetics 2020;73(1):57 View
  2. De la Fuente C, Cruz-Montencinos C, Pena y Lillo R, Chamorro C, Henriquez H, Ramirez-Campillo R. An Eight to Thirteen Hertz Cut-Off Low Pass Filter is More Appropriate to Treat Isoinertial Accelerometry Signals During Jumping. Asian Journal of Sports Medicine 2018;9(3) View
  3. Binedell T, Subburaj K, Wong Y, Blessing L. Leveraging Digital Technology to Overcome Barriers in the Prosthetic and Orthotic Industry: Evaluation of its Applicability and Use During the COVID-19 Pandemic. JMIR Rehabilitation and Assistive Technologies 2020;7(2):e23827 View
  4. Conceição F, Lewis M, Lopes H, Fonseca E. An Evaluation of the Accuracy and Precision of Jump Height Measurements Using Different Technologies and Analytical Methods. Applied Sciences 2022;12(1):511 View

Books/Policy Documents

  1. McKain D, Grise J. Preparing the Higher Education Space for Gen Z. View