RESUMEN
Hand-gripping training is important for improving the fundamental functions of human physical activity. Bernstein's idea of "repetition without repetition" suggests that motor control function should be trained under changing states. The randomness level of load should be visualized for self-administered screening when repeating various training tasks under changing states. This study aims to develop a sensing methodology of random loads applied to both the agonist and antagonist skeletal muscles when performing physical tasks. We assumed that the time-variability and periodicity of the applied load appear in the time-series feature of muscle deformation data. In the experiment, 14 participants conducted the gripping tasks with a gripper, ball, balloon, Palm clenching, and paper. Crumpling pieces of paper (paper exercise) involves randomness because the resistance force of the paper changes depending on the shape and layers of the paper. Optical myography during gripping tasks was measured, and time-series features were analyzed. As a result, our system could detect the random movement of muscles during training.
Asunto(s)
Mano , Músculo Esquelético , Humanos , Músculo Esquelético/fisiología , Electromiografía/métodos , Mano/fisiología , Ejercicio Físico/fisiología , Fuerza de la Mano/fisiología , MiografíaRESUMEN
We propose the use of a specially designed polyurethane foam with a plateau region in its mechanical characteristics-where stress remains nearly constant during deformation-between the electromyography (EMG) electrode and clothing to suppress motion artifacts in EMG measurement. Wearable EMG devices are receiving attention for monitoring muscle weakening due to aging. However, daily EMG measurement has been challenging due to motion artifacts caused by changes in the contact pressure between the bioelectrode and the skin. Therefore, this study aims to measure EMG signals in daily movement environments by controlling the contact pressure using polyurethane foam between the bioelectrode on the clothing and the skin. Through mechanical calculations and finite element method simulations of the polyurethane foam's effect, we clarified that the characteristics of the polyurethane foam significantly influence contact pressure control and that the contact pressure is adjustable through the polyurethane foam thickness. The optimization of the design successfully controlled the contact pressure between the bioelectrode and skin from 1.0 kPa to 2.0 kPa, effectively suppressing the motion artifact in EMG measurement.
Asunto(s)
Artefactos , Electromiografía , Poliuretanos , Dispositivos Electrónicos Vestibles , Poliuretanos/química , Electromiografía/métodos , Electromiografía/instrumentación , Humanos , Electrodos , Movimiento (Física)RESUMEN
BACKGROUND: Although respiratory tract infection is a significant factor that triggers exacerbation of chronic obstructive pulmonary disease (COPD), the benefit of antibiotics for patients with COPD exacerbation remains controversial. It is necessary to evaluate the efficacy and safety of antibiotics versus placebo in such patients. METHODS: We conducted a systematic review and meta-analysis of randomized controlled trials of antibiotics versus placebo for the treatment of COPD exacerbation, and compared the frequencies of treatment failure, mortality, and adverse events between patients treated with antibiotics and those treated with placebo. RESULTS: A total of six studies were included in this meta-analysis. The frequency of treatment failure was significantly lower in the antibiotic-treated patients compared to the placebo-treated patients (odds ratios [OR] 0.50, 95% confidence intervals [CI] 0.35-0.71, p = 0.0001). There was no significant difference between the two groups in mortality (OR 0.44, 95% CI 0.05-3.76, p = 0.45) or frequency of adverse events (OR 1.05, 95% CI 0.75-1.48, p = 0.78). CONCLUSION: In the current systematic review and meta-analysis, we found that antibiotics were superior to placebo in patients with exacerbated COPD, as shown by the lower treatment failure rate.