Future Technology and Intelligence of Strength Training Equipment | Fascinating Facts of Neuromuscular Fatigue and its Recovery - Dr Heikki Peltonen (Pt2)

In this episode we are talking with Dr Peltonen about the themes related to his PhD dissertation:

Isometric Force-Time Parameters in Monitoring of Strength Training
With Special Reference to Acute Responses to Different Loading Resistances

Training monitoring has been a common trend in endurance sports and activities over the past several years through the use of heart rate monitors, pedometers, cycling monitors etc. Nevertheless, athletes and enthusiasts, even the same ones as in endurance sport, train in the gym without any accurate training monitors most trainees still keep a training diary by pen and paper. New miniature technologies and their lowered prices enable the development of new innovative monitoring solutions, however these solutions need valid parameters to follow adaptations in strength training as well. One possibility is to utilize isometric strength testing through in-built devices or retrofit sensors. 

The physiology of the human body reacts to strength training in several
ways, and thus neuromuscular adaptation via stress and fatigue is a multifaceted phenomenon from the aspects of time and complex causal dependencies. Therefore, one justifiable theoretical framework is that the performance outcome is the sum of all these physiological changes with performance technique, both in terms of improvement and impairment, due to a single-session of gym exercise and regularly repeated gym sessions (i.e. strength training). However, monitoring via only one training-specific parameter may overestimate the effect of this specific training and overlook or hide other aspects of changes in physiology of the trainee. Training specificity is a well-known and longstanding principle in the field of sport and exercise science (Baker et al. 1994).

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This podcast episode is sponsored by Fibion Inc. | The New Gold Standard for Sedentary Behaviour and Physical Activity Monitoring

Learn more about Fibion: fibion.com/research

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