Research Using Biometrics Ltd Sensors and Instrumentation in Iran
Keywords: DataLOG EMG Running Sports Lower Extremity Lower Extremity Iran 2011
SS Bonab, B Tarverdizadeh, MA Azarbayjani, YS Zamani; World Applied Sciences Journal, 13 (3) 2011 pages 552 - 557
Biometrics Ltd DataLOG and EMG used to measure EMG activity in Gastrocnemius muscle whilst running on a treadmill, comparing athletes with non-athletes.
Keywords: Goniometer Pain Knee Clinical Applications Lower Extremity Flexion Exercise Iran 2012
H. Minoonejad, R. Rajabi, E. Ebrahimi-Takamjani, M. H. Alizadeh, A. A. Jamshidi, A. Azhari, E. Fatehi. 2012. World Journal of Sport Sciences 6 (3): 278-285
Biometrics Ltd Goniometers are used to monitor knee flexion during this study to document the effects of exercise on patellofemoral pain syndrome (PFPS) sufferers. Data was collected before and after a six week period so that a statistical analysis could be carried out comparing results from the control group with the exercise group. The Goniometers were placed on the leg of participants from both subject groups; knee flexion was recorded for a stair climbing activity while pain scores were communicated.
Keywords: EMG Upper Limb Ergonomics DataLOG Iran 2014
Majid Motamedzade, Davood Afshari, Alireza Soltanian. Health Promotion Perspectives, 2014, 4(2), 144-150
This ergonomics study evaluates two 'carpet weaving' workstations and the effect that each has on shoulder EMG activity. Biometrics Ltd EMG sensors are applied bilaterally to the shoulder muscles of subjects, EMG sensors are connected to the DataLOG unit and data is collected over a four hour period for each workstation. A statistical analysis highlights the benefits of the ergonomically designed workstation and a brief discussion identifies the hazards of the traditional workstation, all conclusions are supported by the EMG data collected.
Keywords: Goniometers SG150 Lower Limb Knee Sports Science Biomechanics Iran 2014
Ali Moradi, Reza Rajabi, Hooman Minoonejad, Marzieh Aghaei. Physical Treatments July 2014, Volume 4, Number 2.
Knee Goniometer data is fundamental in determining the relationship between stretching and knee joint position sense. Biometrics Ltd Goniometers are applied to the knee joint of each study participants who were instructed to recreate a specific knee joint angle before and after a period of stretching. Results are discussed and compared with existing research.
Keywords: Goniometers Sports Medicine Sports Science Injury Prevention Biomechanics Iran 2014
Seyed Mohsen Mir, Saeed Talebian, Nasrin Naseri, Mohammad-Reza Hadian. Journal of Physical Therapy Science. 2014 Oct; 26 (10): 1515-1518
Knee joint proprioception is analysed in this study on healthy subjects. Joint position sense (JPS) data collected using the Biometrics Ltd Goniometers, is used to analyse the stability of the knee joint. Throughout the duration of the study, subjects wearing Goniometers recreated determined joint angles to assess the relationship between joint angle and risk of injury.
Keywords: 2018, Iran, Gait, EMG, DataLOG, Lower Extremity
Mona Kermani, Mehri Ghasemi, Abbas Rahimi, Khosro Khademi-Kalantari, Alireza Akbarzadeh-Bghban; Journal of Bodywork & Movement therapies 22 (2018)
Biometrics Ltd SX230 EMG sensors were used to measure the electrical activity in six lower extremity muscles to determine the difference in muscle use between low heeled and high heeled shoes.
Keywords: 2017, EMG, DataLOG, Iran, Paediatrics, Lower Extremity
Ramin Ashraf, Mohammad Taghi Aghdasi, Mansor Sayyah
EMG of the lower extremities was measured using Biometrics Ltd DataLOG and EMG sensors during vertical jump activities. The EMG data was analyzed using the Biometrics Ltd Analysis software.
Keywords: 2017, Karate, Iran, DataLINK, EMG, Balance, Lower Extremity, Sports Science
Taher Afsharnezhad, Samane Faghihi, Amir Hazrati, Khadije Bahrami
The purpose of this study was to investigate the impact of CWI (cold water immersion) on dynamic balance and anaerobic power, as well as neuromusculsr changes in karate kumite fighters after acompetition. EMG was measured using a Biometrics Ltd DataLINK and SX230 EMG sensors. A RMS (root mean square filter was applied to the data using the Biometrics Ltd DataLINK software.