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|Titel||Autor||Jahr||Journal / Organisation||Methodik||Kategorie||Ergebnisse||Omegawave verwendet|
|Decision Support System for Mitigating Athletic Injuries||Peterson, K.D., Evans, L.C.||2019||International Journal of Computer Science in Sport||HRV, DC||Applied research||The purpose of the present study was to demonstrate an inductive approach for|
dynamically modelling sport-related injuries with a probabilistic graphical model. Conclusive
Dynamic Bayesian Network suggested subjectively-reported stress two days prior, subjective internal
perceived exertions one day prior, direct current potential and sympathetic tone the
day of, as the most impactful towards injury manifestation.
|Digital Based Performance Training||Yan, Q, Liao, T. & Zhang Y.||2018||Chinese Institute of Sport Science||HRV, ECG, DC-EEG||Applied research||Translation from Chinese: “Freestyle wrestlers using Omegawave were monitored before and after ultra-low temperature cryotherapy sessions. Many indicators reflecting the athlete's competitive state after cold treatment have been improved, resting heart rate has dropped significantly, cardiac function reserve and degree of adaptation have improved. The Omegawave readiness scores were restored from 3 points to 7 points. Using this technology, coaches obtain the possibility to observe the athlete's recovery state in real time."||Yes|
|Validation of Omegawave's Windows of Trainability approach in Swimming||Theuer, J.||2018||University of Magdeburg||HRV, ECG, DC-EEG||Validation||The experimental group had a slightly|
higher average improvement of 1,562%, but their training volume was reduced by over 40% compared to the control group.
|Recurrent Network to Forecast Sprint Performance||Peterson, K.||2018||Applied Artificial Intelligence||HRV, DC-EEG||Applied research||RMSSD, an indicator of parasympathetic tone, and direct current biopotentials, indicator of active wakefulness, were most predictive toward competitive performance for an NCAA Division I male sprinter.||Yes|
|Resting heart rate variability can predict track and field sprint performance||Peterson, K.||2018||Universtiy of Iowa||HRV, DC-EEG||Applied research||DC Potential, RMSSD, and SDSD were the most predictive readiness indicators towards sprint performance.||Yes|
|Non-Invasive Assessment of Internal and External Player Load: Implications for Optimizing Athletic Performance||Heishman, A.||2018||The Journal of Strength and Conditioning Research||DC-EEG||Applied research||An increase Player Load during the previous exposure was associated with decreased CMJ (58.7±4.7cm vs 60.4±5.1cm; p<0.001) and increased TRIMP (135.1±35.9 vs 65.6±20.0 AU; p < 0.001), and duration (115.4±27.1 vs 65.56±20.0min; p=<0.001) despite no differences in Omegawave CNS readiness scores. We conclude that Omegawave and Catapult technologies provide independent information related to performance and may be effective tools for monitoring athlete performance.||Yes|
|The Effect of Sleep Quantity and Quality on Direct Current Potential in Collegiate American Football Players||Korem, E.||2018||University of Kentucky||DC-EEG||Applied research||These findings suggest that sleep quantity affects DC bio‐potentials and thus the functional state of the athlete. Specifically, sleep durations between 7.00/7.50 to 9 hours correspond with higher measures of DC Potentials compared to lesser durations.||Yes|
|Uncensored EEG: The role of DC potentials in neurobiology of the brain||Kovac, S., Speckmann, E.J. & Gorji A.||2018||Progress in Neurobiology||DC-EEG||Review article||Successful recordings of DC potentials which could be|
clearly distinguished from artefacts have been performed, showing that
spontaneous slow brain potentials can be recorded in scalp EEG.
|Relationship between Heart Rate Variability Outcomes vs. Occupational Performance, Physical Activity, and Fitness Measures in Firefighters||Lesniak, A. et al.||2017||University of Kentucky & HOFSTRA University||HRV||Applied research||HRV may be an indicator of immediate occupational readiness.||Yes|
|Comparing Performance During Morning vs. Afternoon Training Sessions in Intercollegiate Basketball Players||Heishman, A.||2017||University of Virigina||DC-EEG||Applied research||We conclude that performance is suppressed with morning training and is associated with a decrease in self-reported quantity of sleep.||Yes|
|Individual Endurance Training Prescription with Heart Rate Variability||Vesterinen, V.||2016||University of Jyväskylä||HRV||Applied research||The results of the present study suggest the potential of resting HRV to prescribe endurance training by individualizing the timing of vigorous training sessions.||Yes|
|Adaptations in Cardiac System of an Olympic Downhill Skiing Champion: A6-year ECG Case-Study||Eichberger, P., Fomin, R., Nasedkin, V.||2016||ECSS 2016||ECG||Applied research||Over the course of the study, a general decrease in wave amplitude R, S, T in lead V2, and S & T wave amplitude in lead V6 was observed (p<0.001). In standard ECG leads the width of P & T waves was significantly increased, and the amplitude of the waves Q, R, S, T decreased (p<0.001).||Yes|
|The Effect of Fluid Periodization on Athletic Performance Outcomes in American Football Players||Morris, C.||2015||University of Kentucky||HRV, DC-EEG||Applied research||In conclusion, fluid periodization produced greater improvements in performance outcomes at a reduced training load compared to a similar unmodified periodization scheme. These findings highlight the importance of modifying training parameters based upon the daily physiological state of the athlete.||Yes|
|Individual Adaptation To Endurance Training Guided by Heart Rate Variability||Heikura, I.||2015||University of Jyväskylä||HRV||Applied research||The change in the 3000m run velocity improved in HRV but not in TRAD even though HRV did less HIT. RMSSDrollavg provides a more reliable method to assess the response to training compared to RMSSDday which has more day-to-day variability.||Yes|
|Heart Rate Variability Values for Early-Warning Functional Overreaching in Elite Female Wrestlers||Tian, Y., et al.||2012||Journal of Strength and Conditioning||HRV||Applied research||Severe perturbations both above and below normal responses lasting >2 weeks indicated an athlete’s transition to non-functional over-reaching and, hence, are useful for assessing possible overreaching/training.||Yes|
|Sports Selection-Based Optimisation of Physical Exercise Load for Finswimmers||Ivanitsky, V.V. & Moskovchenko N.O.||2012||Journal of Siberian Federal University. Humanities & Social Sciences 8 (2012 5) 1092-1102||DC-EEG||Applied research||The indicators of the omega-potential should be considered as informative criteria, while they characterize functioning of the body's systems of adaptation to physical and psycho-emotional stress and mental readiness of the athlete.||No|
|Functional status and inflammation after preseason training program in professional and recreational soccer players: a proteomic approach||Martin-Sánchez, J.F. et al.||2011||JSSM||ECG||Applied research||The data suggest that proteomic analysis in combination with the analysis of cardiac function assessment may be useful to know more in depth molecular inflammatory and oxidative processes associated with the sport.||Yes|
|Continuity and prospects of research in systemic integrative psychophysiology of functional states and cognitive activity||Ilyukhina, A.V.||2011||http://Human Physiology ISSN: 0362-1197 (Print) 1608-3164 (Online)||DC-EEG||Applied research||The neurophysiological mechanisms of the formation and therapeutic activation of artificial stable functional relationships were studied using different types of the dynamics of gradual processes (including EEG and ESCoG in the frequency|
band from 0.5 to 35.0 Hz and higher) and USOBPs (in
the frequency band from 0 to 0.5 Hz) simultaneously
recorded in the same cerebral zones by means of long-term electrodes and in the cortical projections of the
cerebral systems of the frontal, temporal, parietal, and occipital areas by means of scalp derivations.
|Neurophysiologic Basis of EEG and DC Potentials||Speckmann, E.-J., Elger, E.C., Gorji A.||2010||University of Münster / University of Bonn||DC-EEG||Research overview||DC potentials directly reflect the state of activity of central nervous cells and therefore contribute to the explanation of the mechanisms o genesis of cerebral field potentials.||No|
|Comparison of Omegawave System and Polar S810I to Detect R-R Intervals at Rest||Parrado, E., Garía, M.A., Ramos, J., Cervantes, J.C., Rodas, G., Capdevila, L.||2010||Training & Testing||HRV||Validation||Coefficients of correlations were all above 0.96. These data suggest that both systems are valid to record R-R interval signals and to obtain a valid analysis of heart rate variability.||Yes|
|Multiform wave organization of neurophysiological processes--universal "language" of human brain in realization of informational-controlling functions||Ilyukhina, A.V.||2010||Bekhtereva Human Brain Institute, Russian Academy of Sciences, St. Petersburg, Russia||DC-EEG||Applied research||The developed at the laboratory method of neuromapping of activation levels of the brain systems of the frontal, temporal, and parietal fields participating in realization of the higher psychic functions, with use of parameters of the stable potential recorded in the corresponding cortical projections at lead from the head surface extended significantly the possibilities of the non-invasive study of regulatory mechanisms of the sleep and wakefulness, long psychic states and human cognitive activity.||No|
|Omegawave Sport Technology - New Ways Of Performance Diagnosis||Csapo, R., Gormasz, C., Prioietti, R., Baron, R.||2008||AJSM||HRV, ECG, DC-EEG||Applied research||The longer-term observation of the Omegawave data could, assuming appropriate knowledge of the underlying functional principles, make a significant contribution to an understanding of the current training- and/or load capacity of the athlete.||Yes|
|Heart rate variability predicts anti-tumor necrosis factor therapy response for inflammatory arthritis||Holman, AJ., Edmund, N.||2008||Autonomic Neuroscience||HRV||Applied research||In conclusion, this unique, exploratory study suggests that HRV may be a novel, useful predictor of response to anti-tumor necrosis factor therapy in patients with inflammatory arthritis, and emphasizes the importance of autonomic influence of autoimmune disease expression.||Yes|
|Optimization of training process of polyathlonists by method of omega-potential measurement||Gilmutdinov S.T., Gilmutdinov R.T., Karpov Z.V. &, Lyubushkin V.N.||2008||Chuvash State University||DC-EEG||Applied research||Therefore, training load's control by measuring Omega-potential allowed us to individualize training process and to bring athletes to high performance level in competitive conditions without losing body reserve capacities.|
Omegametry method together with Omega-potential measuring device is innovative and can create massive demand in solving problems of performance monitoring in terms of mental and physical tasks.
|Heart Rate Variability in Elite American Track-and-Field Athletes||Berkoff, D.J., Mall, N., Moorman, C.T., Cairns, C.B.||2007||Journal of Strength and Conditioning Research, 2007, 21(1), 227–231||HRV||Applied research||148 athletes were studied. The results show that the changes seen with power athletesare similar to those in endurance athletes. Usingthese values as a guide, practitioners have additional informationregarding how well their athletes are adaptingto the training plans outlined for them.||Yes|
|New Method of Preventing Injury And Controlling Post Injury Rehabilitation Based in Objective Evaluation of The Physical Condition Of Football Players||Prioetti, R.||2007||Health, Prevention and Rehabilitation in Soccer, April 14-15, Milan, Italy||ECG||Applied research||Football Labs demonstrate a high correlation with traditional direct methods of physical testing. The assessment of an athlete's current functional state and performance predictions obtained using Omegawave can be obtained quickly, non-invasive and at rest.||Yes|
|Easily Accessible and Accurate Method to Assess Heart Rate Variability in Humans||Berkoff, D.J., Mall, N., Moorman, C.T., Cairns, C.B.||2005||Duke Universtiy||HRV||Applied research||222 athletes (78 females) were tested prior to competition. The Omegawave Sport testing device was used to collect and analyze electrocardiographic data. The results for HRV as produced by the Omegawave Sport device were compared to those calculated using traditional time and frequency domain (FFT) analysis. Such a device is necessary to make HRV assessment and research accessible to a larger sports medicine and emergency medicine audience.||Yes|
|Correlation of two-minute Heart Rate Variability Analysis, Beck Anxiety Index, And Modified Health Assessment Questionnaire With Fibromyalgia Tenderness Score||Holman, AJ., Larionov, V., Masokov, L.||2003||Oxford Journals, Volume 42, Supplement1||HRV||Applied research||Non-invasive assessment tools, including HRV, may be helpful evaluating Fibromyalgia activity and treatment responses.||Yes|
|Monitoring The Cardial Function And The Athlete's Potential With Heart Rate Variability Test||Van de Velde, D.||2003||3rd European Congress of EFSMA, May 14-16||HRV||Applied research||After testing more than 400 athletes, Omegawave's HRV analysis provides accurate and fast information about the functional state of the cardiac system.||Yes|