Study on Efficient Central Fatigue Detection Scheme

2013 ◽  
Vol 312 ◽  
pp. 615-619
Author(s):  
Yi Xiong ◽  
Wen Tao Su
Keyword(s):  
Athletic Performance ◽  
Research Work ◽  
Central Fatigue ◽  
Focus Of Attention ◽  
Training Load ◽  
Generation Mechanism ◽  
Detection Scheme ◽  
Exercise Fatigue ◽  
Fatigue Detection ◽  
Fatigue Recovery

The growing sports training load and the more prone to fatigue will directly affect the athletes fatigue recovery, and improvement of athletic performance, so the research of the generation mechanism of fatigue and effective way to eliminate fatigue is increasingly important. Scientists gradually put the fatigue prevention and recovery promotion on a day-to-day research work. As a kind of exercise fatigue, central fatigue during exercise has increasingly become the focus of attention. This paper mainly explains the central fatigue mechanisms and detection.

scholarly journals Peripheral Modulators of the Central Fatigue Development and Their Relationship with Athletic Performance in Jumper Horses

Animals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 743
Author(s):  
Francesca Arfuso ◽  
Claudia Giannetto ◽  
Elisabetta Giudice ◽  
Francesco Fazio ◽  
Michele Panzera ◽  
...  
Keyword(s):  
Blood Lactate ◽  
Athletic Performance ◽  
Lactate Concentration ◽  
Indirect Evidence ◽  
Blood Lactate Concentration ◽  
Central Fatigue ◽  
Serotoninergic System ◽  
Stressful Situation ◽  
Passive Behavior ◽  
Fatigue Development

The current study aimed to investigate whether peripheral modulators of serotoninergic function and neurohumoral factors’ changes in athletic horses during an official jumping competition, and to evaluate their relationship with the physical performance of competing horses. From 7 Italian Saddle mares (6–9 years; mean body weight 440 ± 15 kg), performing the same standardized warm-up and jumping course during an official class, heart rate (HR) was monitored throughout the competition. Rectal temperature (RT) measurement, blood lactate and glucose concentration, serum tryptophan, leucine, valine, the tryptophan/branched-chain amino-acids ratio (Try/BCAAs), dopamine, prolactin, and non-esterified fatty acids (NEFAs) were assessed before the exercise event (T0), at the end of the competition stage (5 min ± 10 s following the cessation of the exercise, TPOST5), and 30 min after the end of competition (TPOST30). Highest HR values were recorded during the course and at the outbound (p < 0.0001); blood lactate concentration and RT increased after exercise with respect to the rest condition (p < 0.0001). Lower leucine and valine levels (p < 0.01), and higher tryptophan, Try/BCAAs ratio, and NEFAs values were found at TPOST5 and TPOST30 with respect to T0 (p < 0.0001). A higher prolactin concentration was found at TPOST5 and TPOST30 compared to T0 (p < 0.0001), whereas dopamine showed decreased values after exercise compared to rest (p < 0.0001). Statistically significant correlations among the peripheral indices of serotoninergic function, neurohumoral factors, and athletic performance parameters were found throughout the monitoring period. The findings provide indirect evidence that the serotoninergic system may be involved in fatigue during jumper exercise under a stressful situation, such as competition, in which, in addition to physical effort, athletic horses exhibit more passive behavior.

scholarly journals LLSFIoT: Lightweight Logical Security Framework for Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Isha Batra ◽  
Hatem S. A. Hamatta ◽  
Arun Malik ◽  
Mohammed Baz ◽  
Fahad R. Albogamy ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Security ◽  
Algorithm Design ◽  
Research Work ◽  
Generation Mechanism ◽  
Key Generation ◽  
Security Framework ◽  
Heavy Weight ◽  
Work First ◽  
Security Enhancements

Current research in Internet of Things (IoT) is focused on the security enhancements to every communicated message in the network. Keeping this thought in mind, researcher in this work emphasizes on a security oriented cryptographic solution. Commonly used security cryptographic solutions are heavy in nature considering their key size, operations, and mechanism they follow to secure a message. This work first determines the benefit of applying lightweight security cryptographic solutions in IoT. The existing lightweight counterparts are still vulnerable to attacks and also consume calculative more power. Therefore, this research work proposes a new hybrid lightweight logical security framework for offering security in IoT (LLSFIoT). The operations, key size, and mechanism used in the proposed framework make its lightweight. The proposed framework is divided into three phases: registration, authentication, and light data security (LDS). LDS offers security by using unique keys at each round bearing small size. Key generation mechanism used is comparatively fast making the compromise of keys as a difficult task. These steps followed in the proposed algorithm design make it lightweight and a better solution for IoT-based networks as compared to the existing solutions that are relatively heavy weight in nature.

scholarly journals Implementation of face and eye detection on DM6437 board using simulink model

2020 ◽  
Vol 9 (2) ◽  
pp. 785-791
Author(s):  
B. Vijayalaxmi ◽  
Kaushik Sekaran ◽  
N. Neelima ◽  
P. Chandana ◽  
Maytham N. Meqdad ◽  
...  
Keyword(s):  
Research Work ◽  
Warning Signal ◽  
Blink Rate ◽  
Driver Fatigue ◽  
Simulink Model ◽  
Detection Stage ◽  
The Face ◽  
Fatigue Estimation ◽  
Motivating Factor ◽  
Fatigue Detection

Driver Assistance system is significant in drriver drowsiness to avoid on road accidents.  The aim of this research work is to detect the position of driver’s eye for fatigue estimation. It is not unusual to see vehicles moving around even during the nights. In such circumstances there will be very high probability that a driver gets drowsy which may lead to fatal accidents. Providing a solution to this problem has become a motivating factor for this research, which aims at detecting driver fatigue. This research concentrates on locating the eye region failing which a warning signal is generated so as to alert the driver. In this paper, an efficient algorithm is proposed for detecting the location of an eye, which forms an invaluable insight for driver fatigue detection after the face detection stage. After detecting the eyes, eye tracking for input videos has to be achieved so that the blink rate of eyes can be determined.

Quantification of Training Load and Training Response for Improving Athletic Performance

2017 ◽  
Vol 39 (5) ◽  
pp. 3-13 ◽  
Author(s):  
Bill I. Campbell ◽  
Daniel Bove ◽  
Patrick Ward ◽  
Andres Vargas ◽  
Jeff Dolan
Keyword(s):  
Athletic Performance ◽  
Training Load ◽  
Training Response ◽  
And Training

Acute Interleukin-6 Administration Impairs Athletic Performance in Healthy, Trained Male Runners

2004 ◽  
Vol 29 (4) ◽  
pp. 411-418 ◽  
Author(s):  
Paula J. Robson-Ansley ◽  
Liesl de Milander ◽  
Malcolm Collins ◽  
Timothy D. Noakes
Keyword(s):  
Interleukin 6 ◽  
Athletic Performance ◽  
Time Trial ◽  
Chronic Fatigue ◽  
Healthy Humans ◽  
Exercise Challenge ◽  
Fatigue Exercise ◽  
Placebo Trial ◽  
Exercise Fatigue ◽  
Receptor Antibodies

Fatigue is an inevitable consequence of physical activity; yet its biological cause remains uncertain. During exercise, a polypeptide messenger molecule interleukin-6 (IL-6) is actively produced. Previously, the administration of recombinant IL-6 (rhIL-6) induced a heightened sensation of fatigue in healthy humans at rest. In contrast, anti-IL-6 receptor antibodies reduced the symptoms of chronic fatigue. In the present study, athletic performance during an exercise challenge consisting of a 10-km running time trial was significantly impaired in trained male runners following the administration of a low dose of rhIL-6 compared to the placebo trial. Key words: prolonged exercise, fatigue, exercise challenge

Managing the Training Load in Adolescent Athletes

2017 ◽  
Vol 12 (s2) ◽  
pp. S2-42-S2-49 ◽  
Author(s):  
Andrew Murray
Keyword(s):  
Athletic Performance ◽  
Injury Risk ◽  
Systematic Approach ◽  
Training Load ◽  
Evidence Based ◽  
Adolescent Athletes ◽  
Training Dose ◽  
Modern Times ◽  
Load Monitoring ◽  
Athletic Development

While historically adolescents were removed from their parents to prepare to become warriors, this process repeats itself in modern times but with the outcome being athletic performance. This review considers the process of developing athletes and managing load against the backdrop of differing approaches of conserving and maximizing the talent available. It acknowledges the typical training “dose” that adolescent athletes receive across a number of sports and the typical “response” when it is excessive or not managed appropriately. It also examines the best approaches to quantifying load and injury risk, acknowledging the relative strengths and weaknesses of subjective and objective approaches. Making evidence-based decisions is emphasized, while the appropriate monitoring techniques are determined by both the sporting context and individual situation. Ultimately a systematic approach to training-load monitoring is recommended for adolescent athletes to both maximize their athletic development and allow an opportunity for learning, reflection, and enhancement of performance knowledge of coaches and practitioners.

scholarly journals Central and Peripheral Fatigue Related to the Type of Exercise

2018 ◽  
Author(s):  
José Trinidad Quezada Chacón ◽  
Edson Francisco Estrada Meneses ◽  
Gustavo Sierra Muñiz ◽  
Arnulfo Ramos-Jimenez ◽  
Felipe Reynoso Sánchez ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Athletic Performance ◽  
Central Fatigue ◽  
Stress Index ◽  
Peripheral Fatigue ◽  
Type Of Exercise ◽  
Intensity Of Exercise ◽  
Sports Coaches ◽  
Aerobic And Anaerobic

Athletes are exposed to high-intensity loads to promote athletic performance, however without appropriate evaluation for its effects. This study investigates the effects of four types of exhaustion exercises on Heart Rate Variability (HRV) and Poincar&eacute; features as markers of central fatigue; Creatine Kinase (CK) and blood lactate concentrations ([LA-]b) as biomarkers of peripheral fatigue. To achieve this purpose, ten healthy volunteers were exposed to exhaustive exercise using isotonic-, isometric-, aerobic-, and anaerobic-fatigue protocols. HRV Poincar&eacute; features, standard deviation of instantaneous beat-to-beat R-R interval variability (SD1) and standard deviation of continuous long-term R-R interval variability (SD2) variables were collected. Central fatigue was tested through the sympathetic stress index (SS) and the sympathetic and parasympathetic index (SS/SD1). Blood samples were collected at the beginning and at the end of the exercises to determine CK and [LA-]b. The SD1 decreased in each exercise protocol, while the SS and SS/SD1 increased. [LA-]b and CK increased at the end of each protocol and correlated with SD1 and SS/SD1. HRV, CK, and [LA-]b are acute markers to detect, both central and peripheral fatigue; sensitive to the type, duration, and intensity of exercise, being HRV a novel noninvasive marker, simple and useful for sports coaches and athletes.

scholarly journals PO-147 Effect of Exercise-induced Fatigue on the Electrical Activity of the External Globus Pallidus Neurons in rats

2018 ◽  
Vol 1 (4) ◽  
Author(s):  
Hao Yu ◽  
Lijuan Hou ◽  
Jing Ma ◽  
Zhifeng Wang ◽  
Gang Zhao ◽  
...  
Keyword(s):  
Electrical Stimulation ◽  
Globus Pallidus ◽  
Low Frequency ◽  
Extracellular Recording ◽  
Central Fatigue ◽  
Control Group ◽  
Indirect Pathway ◽  
Exercise Induced ◽  
Exercise Fatigue

Objective The motor cortex (MC) stimulation-induced unitary responses of globus pallidus external segment (GPe) neurons in control and exercise induced-fatigue rats were recorded in vivo to examine the role of cortical-striatum-external globus pallidal pathway in the mechanism of central fatigue. Methods 32 Clean healthy male Wistar rats (260~300g), were randomly divided into 4 groups: control group (Control), 1-day fatigue group (1FG), 3-day fatigue group (3FG) and 7-day fatigue group (7FG). Rats were subjected to a 5-day adaptive treadmill training. Modified Bedford treadmill exercise with progressively increasing load was used to creat the exercise fatigue model. （3 levels:8.2 m/min, 15 min; 15m/min, 15 min; 20 m/min, lasting till exhaustion） The spontaneous unit activity and responses to MC stimulation of GPe neurons were recorded by the electrophysiological technique of extracellular recording of glass microelectrodes. Results The results showed that the firing frequency of high-frequency firing with pause (HFP) and low frequency firing with burst (LFB) in the GPe of 1FG was comparable with that of control group (P>0.05). However in 3FG and 7FG , the percentage of HFP neuron was significantly decreased (P<0.05), while the proportion of LFB was significantly increased (P<0.05), and the average firing rate of LFB was higher and inter spike intervals (ISI) was significantly lower than that of the control group. With 200μA electrical stimulation, the explosive discharge of GPe neurons was attenuated after fatigue in rats. The response of GPe neurons to variable frequency stimulation in exhausted model groups was stronger than that of the control group.MC-stimulation typically induced a triphasic response composed of early excitation, inhibition, and late excitation in GPe neurons. The population of neurons showing a short inhibition slightly increased in 3FG and 7FG. Conclusions 1. The results confirmed that GPe is an important nucleus of basal ganglia involved in the regulation of exercise-induced fatigue by the change of spontaneous activity. Electrical stimulation on the cortex can alter response patterns of GPe neurons in exercise-induced fatigue rats, the results confirmed that the Ctx-Str-GPe neural pathway is involved in the regulation of exercise fatigue, and the indirect pathway is over-activated.

scholarly journals Pre-exercise Carbohydrate Drink Adding Protein Improves Post-exercise Fatigue Recovery

2021 ◽  
Vol 12 ◽  
Author(s):  
Albert Yi-Wey Tan ◽  
Sareena-Hanim Hamzah ◽  
Chih-Yang Huang ◽  
Chia-Hua Kuo
Keyword(s):  
G Protein ◽  
Endurance Performance ◽  
Nitrogen Sources ◽  
Time To Exhaustion ◽  
Antioxidant Power ◽  
Post Exercise ◽  
Dietary Nitrogen ◽  
Exercise Fatigue ◽  
Fatigue Recovery ◽  
Cycling Time

Purpose: This study aimed to assess the requirement of protein in pre-exercise carbohydrate drinks for optimal endurance performance at high intensity and post-exercise fatigue recovery.Methods: Endurance performance at 85% V.⁢O2peak of young men (age 20 ± 0.9 years, V.⁢2peak 49.3 ± 0.3 L/min) was measured for two consecutive days using cycling time to exhaustion and total work exerted 2 h after three isocaloric supplementations: RICE (50 g, protein: 1.8 g), n = 7; SOY + RICE (50 g, protein: 4.8 g), n = 7; and WHEY + RICE (50 g, protein: 9.2 g), n = 7.Results: Endurance performance was similar for the three supplemented conditions. Nevertheless, maximal cycling time and total exerted work from Day 1 to Day 2 were improved in the WHEY + RICE (+21%, p = 0.05) and SOY-RICE (+16%, p = 0.10) supplemented conditions, not the RICE supplemented condition. Increases in plasma interleukin-6 (IL-6) were observed 1 h after exercise regardless of supplemented conditions. Plasma creatine kinase remained unchanged after exercise for all three supplemented conditions. Increases in ferric reducing antioxidant power (FRAP) after exercise were small and similar for the three supplemented conditions.Conclusion: Adding protein into carbohydrate drinks provides no immediate benefit in endurance performance and antioxidant capacity yet enhances fatigue recovery for the next day. Soy-containing carbohydrate drink, despite 50% less protein content, shows similar fatigue recovery efficacy to the whey protein-containing carbohydrate drink. These results suggest the importance of dietary nitrogen sources in fatigue recovery after exercise.

Research on sports simulation and fatigue characteristics of athletes based on machine learning

2020 ◽  
pp. 1-12
Author(s):  
Guangqi Li
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Bp Neural Network ◽  
Detection System ◽  
Physiological Parameters ◽  
Learning Technology ◽  
Human Fatigue ◽  
Fatigue Characteristics ◽  
Exercise Fatigue ◽  
Fatigue Detection

The research on the fatigue characteristics of athletes has a certain role in promoting the development of sports. In order to detect fatigue more accurately in the state of human fatigue, this article uses a method of fusing characteristic information of many physiological parameters related to fatigue to design a multi-physical parameter-based exercise fatigue recognition method with high research value and significance. Moreover, this study combines machine learning technology to construct a dynamic fatigue detection system based on BP neural network and multiple physiological parameters. In addition, this study uses samples to construct a BP neural network and achieves dynamic detection of fatigue through multiple physiological parameters. Finally, by constructing controlled trials, fatigue is predicted. The results show that the predicted output of the fatigue value is in good agreement with the expected output, and the research method has certain practical effects.

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