Everyone can benefit from strength training.
Your sports may require maximum, speed or endurance strength or hypertrophy, but strength training is essential also for shaping your body to achieve the look you are striving for or maintaining your physical capability along aging.
Mpower helps you with your strength training whatever your goals may be. Measure any muscle with a small pod, which you can easily attach to any single muscle. Get instant feedback and learn to fine-tune your technique.
Find out if you are using the right muscles and as efficiently as you could. Evaluate your technique and strength over time to adjust your training plan.
Get information about your performance over time. Find out what your long-term maximum activation levels are, how your activation volume is developing and what your fast activation volume per muscle and per workout is.
To produce fast and explosive movements requires strength. To increase it, you need to activate your fast muscle fibers in your training – they are needed also for maximum strength production. For the first time ever, with Mpower you get real-time feedback about how effectively your training activates the fast or slow muscle fibers.
Mpower will also tell you when your fast muscle fibers are getting tired and muscle fatigue starts to impact your training. This way you can monitor whether you still want to continue training or stop to get the best results.
If you want to build muscle mass, hypertrophic training will help you reach your goals. Activating your fast muscle fibers is key for getting as much out of hypertrophic training as possible. Mpower shows how you are activating your muscles.
You can monitor the total muscle activation and also see how your fast muscle fibers are brought into play. On top of that, Mpower lets you know how muscle fatigue is developing –you can use this information to continue training till the level you need for progress, for example.
Training for endurance strength means developing your ability to maintain sport specific strength level as long as possible. Over time, you will be able to better keep up the power production of your slow and fast muscle fibers. Mpower also lets you know how muscle fatigue is developing so that you can continue training till you have reached the level you need for progress
Learn about your muscles and what type of training techniques are the most efficient. With Mpower, you can measure one specific muscle or up to four muscles at a time. Mpower uses unique technology to give you accurate information about your muscles.
Read more about the science behind the measurement. >
The benefit of measuring a specific muscle is that you can ensure you are working out the right muscle. Select exercises that best activate specific muscles and make sure you perform the exercises with maximal activation efficiency. You can also learn about your muscle balance and optimize your technique to get maximum benefits out of your training. For example, you can see if you are activating your gluteal muscle on both sides for balanced training results.
Recognizing the signs of fatigue and over-training is key to improvement. Mpower spots when your fast muscle fibers are getting tired and you may no longer gain the benefits you want from your speed strength training, for example. This way you will know when your muscles are too tired for training.
Have you ever wondered if your training plan and workouts are the most efficient for your client? Now you can create tailored strength training programs for each client individually. With Mpower, you can measure the effect of different techniques, see how muscles are developing and make changes to the training plan as needed, based on data, not on guesswork.
• Increase confidence among your clients with data proven measurement
• Ensure that your client is training the right muscles and adjust the instructions if needed
• Show your clients how different techniques, tools, volume and tempo in training work
• Avoid over-training and injuries by following your client’s muscle fatigue levels
The old saying “What you measure is what you get” applies also to strength training. When you can show proof about the impact and progress of the training plan on your client, you get a valuable motivation tool.
• Demonstrate the targeted impact of the exercise by measuring activation power
• Show your client how their exercise technique gets better by measuring activation power – the progress of training is visible as increased muscle activation volume and max activation
• Show your client the impact of training on endurance strength efficiency and speed strength
With Mpower, besides getting a great tool for your work, you will also see what a positive impact it has on your professional image and gain additional profits.
• Improve the quality of your services as a personal trainer
• Stand out from your competitors with specialized offering and high quality service
• Develop your service packages and get a premium price by giving your clients measured proof of progress and that their efforts are worthwhile
• EMG can be measured non-invasively with special electrodes placed on the skin overlying the muscle(s) of interest (i.e. surface EMG, sEMG)
• sEMG technology has enabled the use of sEMG signal for medical and sports physiology related muscle performance analysis
• Activation level of the muscle
• Activation levels of specific types of muscle cells
• Muscle fatigue
• Timing of muscle activation(s) in relation to movement
• For good training results, it is important to know that the training activates the right muscles to proper activation level. Mpower measures your muscle’s sEMG signal and shows the activation level.
• Fast muscle cells are essential for speed, explosive and maximum power production. They also grow more effectively in size but are harder to activate. Slow muscle cell activation is required for endurance training and control of posture and coordination. With Mpower you can measure and monitor online the activation levels of each type of muscle cells and adjust your exercise according to the type and level of desired workout.
• Sometimes one side of the body may develop to be stronger than the other. In such cases Mpower helps you to identify the imbalance and monitor your training to ensure the proper development of the weaker side.
• For effective training it is beneficial to see muscle fatigue start to develop and how far it is allowed to develop. Mpower analyses the sEMG signal and, based on that, shows the fatigue development.
• Strength training increases your power production capability and it has been shown that the increased power production capability is reflected in the EMGsignal
• Neuromechanics of Human Movement, Enoka R., 2002
Changes in cross-sectional area (CSA) of the quadriceps femoris, integrated EMG of vastus lateralis during a maximum contraction and the maximum voluntary contraction (MVC) force during isokinetic training (60 days) and detraining (40 days). (Adapted from Narici, Roi, Landoni, Minetti and Ceretelli, 1989)
• The electrode location and small inter-electrode spacing are important to minimize cross-talk from adjacent muscles
o Mogk, J. P. M. and P. J. Keir (2003). "Crosstalk in surface electromyography of the proximal forearm during gripping tasks." Journal of Electromyography and Kinesiology 13(1): 63-71.
o Campanini, I., et al. (2007). "Effect of electrode location on EMG signal envelope in leg muscles during gait." Journal of Electromyography and Kinesiology 17(4): 515-526.
o De Luca, C. J., et al. (2012). "Inter-electrode spacing of surface EMG sensors: Reduction of crosstalk contamination during voluntary contractions." Journal of Biomechanics 45(3): 555-561.
• For effective sEMG signal measurement, noise should be reduced at the source with well-designed active electrodes
o Clancy, E. A., et al. (2002). "Sampling, noise-reduction and amplitude estimation issues in surface electromyography." Journal of Electromyography and Kinesiology 12(1): 1-16.
o Merletti, R., et al. (2009). "Technology and instrumentation for detection and conditioning of the surface electromyographic signal: State of the art." Clinical Biomechanics 24(2): 122-134.
• It has been shown that sEMG signal frequency analysis provides a quite sensitive measure for muscle force estimation. It also has been shown that sEMG signal amplitude analysis based methods suffer from inaccuracies or may even produce contradictory results
o Lindstrom, L. H. and R. I. Magnusson (1977). "Interpretation of Myoelectric Power Spectra - Model and Its Applications." Proceedings of the Ieee 65(5): 653-662.
o Moritani, T. and M. Muro (1987). "Motor unit activity and surface electromyogram power spectrum during increasing force of contraction." Eur J Appl Physiol Occup Physiol 56(3): 260-265.
o Oberg, T. (1995). "Muscle fatigue and calibration of EMG measurements." J Electromyogr Kinesiol 5(4): 239-243.
o Knaflitz, M. and P. Bonato (1999). "Time-frequency methods applied to muscle fatigue assessment during dynamic contractions." J Electromyogr Kinesiol 9(5): 337-350.
o Cifrek, M., et al. (2009). "Surface EMG based muscle fatigue evaluation in biomechanics." Clinical Biomechanics 24(4): 327-340.
o Staudenmann, D., et al. (2010). "Methodological aspects of SEMG recordings for force estimation - A tutorial and review." Journal of Electromyography and Kinesiology 20(3): 375-387.
An abundance of beneficial information can be identified from sEMG signal with appropriate frequency analysis
1. Muscle cell type composition and cell size
2. Increasing fast muscle cell activation with faster movements
3. Increasing activation rate of the muscle cells when producing more power
4. Fatigue as a shift of frequency spectrum towards lower frequencies
5. Metabolic changes within the muscle visible in the spectrum
o Brody, L. R., et al. (1991). "pH-induced effects on median frequency and conduction velocity of the myoelectric signal." J Appl Physiol (1985) 71(5): 1878-1885.
o Kupa, E. J., et al. (1995). "Effects of Muscle-Fiber Type and Size on Emg Median Frequency and Conduction-Velocity." Journal of Applied Physiology 79(1): 23-32.
o O'Brien, P. R. and J. R. Potvin (1997). "Fatigue-related EMG responses of trunk muscles to a prolonged, isometric twist exertion." Clin Biomech (Bristol, Avon) 12(5): 306-313.
o Potvin, J. R. and L. R. Bent (1997). "A validation of techniques using surface EMG signals from dynamic contractions to quantify muscle fatigue during repetitive tasks." J Electromyogr Kinesiol 7(2): 131-139.
o Wakeling, J. M., et al. (2006). "Muscle fibre recruitment can respond to the mechanics of the muscle contraction." Journal of the Royal Society Interface 3(9): 533-544.
o Contessa, P., et al. (2009). "Motor unit control and force fluctuation during fatigue." J Appl Physiol (1985) 107(1): 235-243.
o De Luca, C. J. and E. C. Hostage (2010). "Relationship Between Firing Rate and Recruitment Threshold of Motoneurons in Voluntary Isometric Contractions." Journal of Neurophysiology 104(2): 1034-1046.
o Gonzalez-Izal, M., et al. (2010). "EMG spectral indices and muscle power fatigue during dynamic contractions." J Electromyogr Kinesiol 20(2): 233-240.
o De Luca, C. J. and P. Contessa (2012). "Hierarchical control of motor units in voluntary contractions." Journal of Neurophysiology 107(1): 178-195.
o Contessa, P. and C. J. De Luca (2013). "Neural control of muscle force: indications from a simulation model." Journal of Neurophysiology 109(6): 1548-