Sensors and Instrumentation in Kuwait & Qatar
Keywords: EMG DataLOG Software Muscle Activity Sports Clinical Applications Temperature Effects Qatar 2008
Hyperthermia impairs short-term memory and peripheral motor drive transmission
This study aims to document the relationship between ambient temperature and muscle activity. The Biometrics Ltd EMG sensors (connected to the DataLOG unit) were applied to subjects and worn throughout the duration of the study (over each of the three temperature environments). EMG signals were collected and analysed post data acquisition to quantify muscle activity.
Keywords: DataLOG EMG Foot Orthoses Sports Treadmill Running Lower Limb Qatar 2011
Luke A. Kelly, Olivier Girard, Sebastien Racinais 2011. Official Journal of the American college of Medicine. Medicine and Science in Sports and Exercise, Vol 43, No 12, pp 2335-2343
Biometrics Ltd equipment (EMG sensors connected to the DataLOG unit) was used to collect data for this comparison study. The study population consisted of male recreational athletes, each subject was instructed to complete an hours' run while lower limb EMG data was measured, along with other parameters. The positioning of the EMG surface electrodes was marked so that the experiment could be repeated with all participants wearing foot orthoses in their running shoes. A comparative analysis is detailed.
Keywords: ACL300 Accelerometer Goniometer Mechanomyography MMG Muscle Fatigue Neurology Kuwait 2014
Mohamed R. Al-Mulla, Francisco Sepulveda. Sensors 2014, 1 4(6)
Mechanomyography (muscle vibration) is recorded using the Biometrics Ltd ACL300 Accelerometer applied over the muscle belly; a Biometrics Ltd Goniometer over the elbow is used to determine joint movement. Accelerometer and Goniometer data are analysed post data-acquisition to compare alternate signal processing options and confirm the most suitable analysis technique.
Keywords: Kuwait, EMG, Upper Extremity, Sport Science, 2015
M. R. Al-Mula, F. Sepulveda, B. Al-Bader. Computers 2015, 4, 251-264
Biometrics Ltd surface EMG sensors and Goniometers are used in this study to collect information from each subject completing a planned exercise session. Data is then entered into various algorithms to confirm which best classifies muscle fatigue. The relationship between elbow angle and RMS values is also explored.