Aim Mismatch and dysfunctions of ANS (Autonomic Nervous System) have been identified as causes for symptoms of ‘syndrome of overtraining’. Heart rate variability (HRV) is correlated to the interaction between sympathetic and parasympathetic nervous system; the ability of human body to adapt its balance towards one or the other system is a fundamental mechanism of body dynamic balance, both from the physiological and psychological point of view. The aim of this study is assess heart rate variability (HRV) analysis as a way of evaluating fatigue and level of recovery in professional football players, to get a proper modulation of training load. Method 10 professional football players aged 26,3±2,5(ẋ±SD), to be monitored during the pre-season time and during the usual weekly scheduled training, through the analysis of heart rate variability (HRV) and using raw data of a 5 minutes standard test at rest. Research is being carried out using Hosand MINIcardio heart rate monitors. The electric signal detected by electrodes has been elaborated by the heart rate monitor and recorded in RR mode. Data are then being downloaded using an IrDa port and elaborated using a dedicated software (Hosand MCSoft) and specific algorithms, to detect useful variables in defining a state of immediate readiness of functional system, a physiological trend over time and a statistical reference. Parameters taken into consideration are: General Energetic Condition, Stress from Adaptability, Response to Stressor Stimulus, balance between sympathetic and parasympathetic. Results Analysis of collected data highlights a different response of different athletes to workload or to a game or to another cause of activation of restore functions. As a result, each athlete shows a different level of recovery. Looking at raw data of average analyzed values, for all players, shall result in a under or over-estimation of recovery levels thus leading to apply workloads which are not suitable, with all possible consequences. Otherwise, when analyzing individual data, it is possible to define the precise level of physical status, adaptation and recovery for each athlete and then to apply customized and adequate workload. results of our study give confirmation to the hypothesis that HRV analysis can be used as an appropriate mean of assessment of effects of physical activities workload on performance and to prevent overtraining. Personalization of data using individual statistics allows to get a more accurate analysis of functional status of each athlete, providing referenced indexes that reflect the real trend and not only the ‘acute’ phase of functional system.
Assessment of fatigue and management of workload in professional football players through the analysis of heart rate variability
Galbusera C
2013-01-01
Abstract
Aim Mismatch and dysfunctions of ANS (Autonomic Nervous System) have been identified as causes for symptoms of ‘syndrome of overtraining’. Heart rate variability (HRV) is correlated to the interaction between sympathetic and parasympathetic nervous system; the ability of human body to adapt its balance towards one or the other system is a fundamental mechanism of body dynamic balance, both from the physiological and psychological point of view. The aim of this study is assess heart rate variability (HRV) analysis as a way of evaluating fatigue and level of recovery in professional football players, to get a proper modulation of training load. Method 10 professional football players aged 26,3±2,5(ẋ±SD), to be monitored during the pre-season time and during the usual weekly scheduled training, through the analysis of heart rate variability (HRV) and using raw data of a 5 minutes standard test at rest. Research is being carried out using Hosand MINIcardio heart rate monitors. The electric signal detected by electrodes has been elaborated by the heart rate monitor and recorded in RR mode. Data are then being downloaded using an IrDa port and elaborated using a dedicated software (Hosand MCSoft) and specific algorithms, to detect useful variables in defining a state of immediate readiness of functional system, a physiological trend over time and a statistical reference. Parameters taken into consideration are: General Energetic Condition, Stress from Adaptability, Response to Stressor Stimulus, balance between sympathetic and parasympathetic. Results Analysis of collected data highlights a different response of different athletes to workload or to a game or to another cause of activation of restore functions. As a result, each athlete shows a different level of recovery. Looking at raw data of average analyzed values, for all players, shall result in a under or over-estimation of recovery levels thus leading to apply workloads which are not suitable, with all possible consequences. Otherwise, when analyzing individual data, it is possible to define the precise level of physical status, adaptation and recovery for each athlete and then to apply customized and adequate workload. results of our study give confirmation to the hypothesis that HRV analysis can be used as an appropriate mean of assessment of effects of physical activities workload on performance and to prevent overtraining. Personalization of data using individual statistics allows to get a more accurate analysis of functional status of each athlete, providing referenced indexes that reflect the real trend and not only the ‘acute’ phase of functional system.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
