Virtual Proprioception with Eccentric Training for a Shoulder Press by a Wearable System

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F24%3A00382847" target="_blank" >RIV/68407700:21460/24:00382847 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-031-62523-7_50" target="_blank" >http://dx.doi.org/10.1007/978-3-031-62523-7_50</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-62523-7_50" target="_blank" >10.1007/978-3-031-62523-7_50</a>

Result language

angličtina

Original language name

Virtual Proprioception with Eccentric Training for a Shoulder Press by a Wearable System

Original language description

The confluence of wearable systems with machine learning enables the opportunity for quantified exercise with the ability to discern specifically personalized strategies, such as eccentric strength training. Using a unique software application with a smartphone to provide real-time feedback with respect to the gyroscope signal, effective threshold bounds can be prescribed and maintained during an exercise, such as a shoulder press. The concept of utilizing visualized feedback from an inertial sensor, such as a gyroscope, for regulating human movement is known as Virtual Proprioception. Additionally, the smartphone software application is capable of recording the gyroscope signal for wireless transmission to an email account, which constitutes a provisional Cloud computing environment. Given these characteristics, the smartphone has the functional properties of a wearable and wireless gyroscope platform. Post-processing of the gyroscope signal data for an eccentric training oriented shoulder press using the smartphone by means of Virtual Proprioception providing real-time feedback can be differentiated relative to standard strength training through a machine learning algorithm, such as a multilayer perceptron neural network, and considerable classification accuracy has been attained. The implications are augmented acuity for strength training strategies that are highly specified according to personalized exercise objectives. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20601 - Medical engineering

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Advances in Digital Health and Medical Bioengineering. Proceedings of the 11th International Conference on E-Health and Bioengineering, EHB-2023, November 9–10, 2023, Bucharest, Romania – Volume 3: Telemedicine, Biomaterials, Environmental Protection, Medical Imaging, and Biomechanics

ISBN

978-3-031-62523-7

ISSN

1680-0737

e-ISSN

1433-9277

Number of pages

8

Pages from-to

453-460

Publisher name

Springer Nature Switzerland AG

Place of publication

Basel

Event location

Bucuresti

Event date

Nov 9, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001434998400050