A Review of Non-Invasive Techniques to Detect and Predict Localised Muscle Fatigue

Author： Al-Mulla Mohamed R.   Sepulveda Francisco   Colley Martin  

Publisher： MDPI

E-ISSN： 1424-8220|11|4|3545-3594

ISSN： 1424-8220

Source： Sensors, Vol.11, Iss.4, 2011-03, pp. : 3545-3594

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

An Autonomous Wearable System for Predicting and Detecting Localised Muscle Fatigue

By Al-Mulla Mohamed R.   Sepulveda Francisco   Colley Martin  

Sensors, Vol. 11, Iss. 2, 2011-01 ,pp. : 1542-1557

MDPI

Access to resources Recommend Favorite

State-of-the-Art Sensor Technology in Spain: Invasive and Non-Invasive Techniques for Monitoring Respiratory Variables

By Domingo Christian   Blanch Lluis   Murias Gaston   Luján Manel  

Sensors, Vol. 10, Iss. 5, 2010-05 ,pp. : 4655-4674

MDPI

Access to resources Recommend Favorite

Non-Invasive Optical Biosensor for Probing Cell Signaling

By Fang Ye  

Sensors, Vol. 7, Iss. 10, 2007-10 ,pp. : 2316-2329

MDPI

Access to resources Recommend Favorite

Non-Invasive UWB Sensing of Astronauts' Breathing Activity

By Baldi Marco   Cerri Graziano   Chiaraluce Franco   Eusebi Lorenzo   Russo Paola  

Sensors, Vol. 15, Iss. 1, 2014-12 ,pp. : 565-591

MDPI

Access to resources Recommend Favorite

Chemical Sensor Platform for Non-Invasive Monitoring of Activity and Dehydration

By Solovei Dmitry   Žák Jaromír   Majzlíková Petra   Sedláček Jiří   Hubálek Jaromír  

Sensors, Vol. 15, Iss. 1, 2015-01 ,pp. : 1479-1495

MDPI

Access to resources Recommend Favorite