Maryam Pourmajidian and her colleagues from the University of Malaya have, in cooperation with Glen M. Davis from the University of Sydney, presented the results of their research work on MC at the Functional Electrical Stimulation Society Annual Conference (IFESS), 2014 IEEE 19th International Conference. Their pilot investigation was conducted on the measurement of muscle performance during voluntary exercise using the MC-Sensor. Surface electromyography (sEMG) and the torque output from an isokinetic dynamometer were used as references for a comparative assessment of the MC-sensor data. Five able-bodied subjects performed isokinetic knee extension at 90 deg• s-1 and 120 deg• s-1. Correlation coefficients (r) between the muscle tension data from the MC-sensor, sEMG and Biodex were calculated using Microsoft Excel and a high correlation was observed with an average value of 0.82 to 0.91 at 90 deg• s1, and 0.77 to 0.90 at 120 deg• s-1, respectively. A stronger association was observed between the MC-sensor and Biodex, compared to MC-EMG and Biodex-EMG. This might be due to reported complications in achieving an accurate force-EMG ratio. However, further research is necessary to establish the reliability of the mechanomyogram sensors before muscle tension can be utilized as a proxy for muscle force during functional electrical stimulation (FES)-evoked exercise and/or functional movements. You can find more details here.

After an odd season in 2015/16, Manchester City F.C.is determined to pursue the Premiership title. In order to improve their RTP decisions and reduce muscle injuries, they have recently acquired our TMG S1 system. We hope that our innovative technology will help them achieve the much desired goal.

Tensiomyography (TMG) is a well-established method for the assessment of contractile muscle properties, however, its application for anterior cruciate ligament ACL injury prevention has not been elaborated in the past. In 2014, professor Cougat and his colleagues used TMG to assess the neuromuscular risk factors for an ACL injury in male soccer players. According to them, ACL injuries are likely the most common severe injuries in soccer, while their prevention is likely the most effective strategy to decrease undesired health-related consequences of the injured players. While it is almost impossible to objectively evaluate the neuromuscular risk factors for an ACL injury with standard methods, TMG enables us to do just that. The research based on TMG revealed that a decreased resistance to fatigue and muscle stiffness in the hamstring muscles may be a risk factor for an ACL injury in male soccer players. Furthermore, it has been shown that a predominant impairment in TMG characteristics of the quadriceps over hamstrings may indicate an altered muscular co-contraction (imbalance) between both muscle groups, which might be another risk factor for an ACL injury in male soccer players. On the basis of their findings, we can conclude that TMG provides useful and objective information for the ACL injury prevention.

Our experts have recently conducted a pre-season players’ evaluation of the winners of the Slovenian League in the 2015–16 season – NK Olimpija players – in order to create the exact muscle profile of each player. This will enable the coaching staff to individualize training routine during the preparation period on the basis of players’ characteristics.

Prof. Alexander Ferrauti from the Johannes Gutenberg University Mainz and his colleagues from the Ruhr University Bochum, The University of Queensland, Brisbane, Australia, and the Saarland University have recently published an article with the title “Muscle mechanical properties of strength and endurance athletes and changes after one week of intensive training” in the Journal of Electromyography and Kinesiology. The study investigates whether tensiomyography (TMG) is sensitive enough to differentiate between strength and endurance athletes, and to monitor fatigue after one week of either intensive strength or endurance training. Their results indicate that TMG could be a useful tool to differentiate between strength and endurance athletes, and to monitor fatigue and recovery especially in strength training.