- MeSH
- Humans MeSH
- Bandages utilization MeSH
- Compressive Strength MeSH
- Materials Testing MeSH
- Venous Insufficiency therapy MeSH
- Check Tag
- Humans MeSH
- Publication type
- Congress MeSH
Cílem studie bylo ověřit účinky kompresního prádla na výkon v modelu sportovního zatížení. Pro tuto objektivizaci jsme zvolili experimentální model využití běžného kompresního prádla, přičemž jsme zjišťovali jeho vliv na regeneraci resp. opakovaný výkon jedince mezi dvěma Wingate testy. Probandé (n=10) absolvovali dvě na sobě nezávislá vyšetření v rozmezí 1 týdne. Při prvním měření polovina probandů prošla testováním s kompresním prádlem a druhá polovina bez tohoto doplňku vždy s tří hodinovou regenerační pauzou. U druhého měření došlo ke stejnému testování, ale s opačným trendem v použití kompresního prádla. Sledovanou proměnou byl pokles výkonu při prvním a druhém měření s medicínskými kompresními punčochami a bez nich. Pilotní výzkum neprokázal signifikantně menší pokles výkonu u opakovaného Wingate testu při užití kompresních punčoch. Výsledky studie naznačují, že kompresní prádlo tohoto typu nezmenšuje únavu mezi jednotlivými opakovanými anaerobními zátěžemi a nedochází tak k nárůstu mechanického výkonu v opakovaném, krátkodobém, vysoce intenzivním cvičení.
The aim of the study was to assess the effects of compression underwear for sports performance model loads. For this objectification we chose an experimental model using conventional compression underwear while we investigated its effect on the regeneration respectively. Repeated individual's performance between the two Wingate tests. Probands ( n = 10) underwent two independent examination within 1 week. During the first half of measurement probands underwent testing with compression underwear and the other half without this add- always with a three -hour restorative break. The second measurement was the same test but with the opposite trend in the use of compression garments. Transformations of the decline in performance during the first and second measurements with medical compression stockings and without them. Pilot research has not demonstrated a significantly smaller decrease in performance with repeated Wingate test with the use of compression stockings. The study results suggest that compression garments of this type does not diminish fatigue between repeated anaerobic loads and so there is no increase in mechanical performance in repeated, short, high-intensity exercise.
- Keywords
- kompresní prádlo, Wingate test, anaerobní kapacita,
- MeSH
- Anaerobic Threshold MeSH
- Exercise * physiology MeSH
- Stockings, Compression * MeSH
- Lactates metabolism adverse effects MeSH
- Humans MeSH
- Monitoring, Physiologic methods statistics & numerical data MeSH
- Regeneration MeSH
- Muscle Relaxation physiology MeSH
- Efficiency MeSH
- Exercise Test MeSH
- Check Tag
- Humans MeSH
- Male MeSH
- MeSH
- Electrocardiography MeSH
- Myocardial Infarction diagnosis etiology therapy MeSH
- Clinical Laboratory Techniques methods statistics & numerical data MeSH
- Coronary Angiography MeSH
- Coronary Vessels pathology MeSH
- Middle Aged MeSH
- Humans MeSH
- Emergencies diagnosis etiology therapy MeSH
- Carcinoma, Non-Small-Cell Lung MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Publication type
- Case Reports MeSH
Compression of ECG signal is essential especially in the area of signal transmission in telemedicine. There exist many compression algorithms which are described in various details, tested on various datasets and their performance is expressed by different ways. There is a lack of standardization in this area. This study points out these drawbacks and presents new compression algorithm which is properly described, tested and objectively compared with other authors. This study serves as an example how the standardization should look like. Single-cycle fractal-based (SCyF) compression algorithm is introduced and tested on 4 different databases-CSE database, MIT-BIH arrhythmia database, High-frequency signal and Brno University of Technology ECG quality database (BUT QDB). SCyF algorithm is always compared with well-known algorithm based on wavelet transform and set partitioning in hierarchical trees in terms of efficiency (2 methods) and quality/distortion of the signal after compression (12 methods). Detail analysis of the results is provided. The results of SCyF compression algorithm reach up to avL = 0.4460 bps and PRDN = 2.8236%.
- MeSH
- Algorithms * MeSH
- Databases, Factual * MeSH
- Electrocardiography methods MeSH
- Fractals * MeSH
- Data Compression methods MeSH
- Humans MeSH
- Signal Processing, Computer-Assisted MeSH
- Arrhythmias, Cardiac physiopathology MeSH
- Wavelet Analysis MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
Electroencephalography (EEG) experiments typically generate vast amounts of data due to the high sampling rates and the use of multiple electrodes to capture brain activity. Consequently, storing and transmitting these large datasets is challenging, necessitating the creation of specialized compression techniques tailored to this data type. This study proposes one such method, which at its core uses an artificial neural network (specifically a convolutional autoencoder) to learn the latent representations of modelled EEG signals to perform lossy compression, which gets further improved with lossless corrections based on the user-defined threshold for the maximum tolerable amplitude loss, resulting in a flexible near-lossless compression scheme. To test the viability of our approach, a case study was performed on the 256-channel binocular rivalry dataset, which also describes mostly data-specific statistical analyses and preprocessing steps. Compression results, evaluation metrics, and comparisons with baseline general compression methods suggest that the proposed method can achieve substantial compression results and speed, making it one of the potential research topics for follow-up studies.
- MeSH
- Adult MeSH
- Electroencephalography * methods MeSH
- Data Compression * methods MeSH
- Humans MeSH
- Neural Networks, Computer * MeSH
- Signal Processing, Computer-Assisted MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
