Development Technologies for the Monitoring of Six-Minute Walk Test: A Systematic Review

In the pandemic time, the monitoring of the progression of some diseases is affected and rehabilitation is more complicated. Remote monitoring may help solve this problem using mobile devices that embed low-cost sensors, which can help measure different physical parameters. Many tests can be applied remotely, one of which is the six-minute walk test (6MWT). The 6MWT is a sub-maximal exercise test that assesses aerobic capacity and endurance, allowing early detection of emerging medical conditions with changes. This paper presents a systematic review of the use of sensors to measure the different physical parameters during the performance of 6MWT, focusing on various diseases, sensors, and implemented methodologies. It was performed with the PRISMA methodology, where the search was conducted in different databases, including IEEE Xplore, ACM Digital Library, ScienceDirect, and PubMed Central. After filtering the papers related to 6MWT and sensors, we selected 31 papers that were analyzed in more detail. Our analysis discovered that the measurements of 6MWT are primarily performed with inertial and magnetic sensors. Likewise, most research studies related to this test focus on multiple sclerosis and pulmonary diseases.

Description on the Effects of Acute and Chronic Exercise on Different Systems of the Body

The purpose of this study is to explore various changes occur in different physical and physiological systems of the body with respect to the relevant chronic exercises. Acute and Chronic exercise programmes develops physiological adaptations in different systems of the body, due to the stress places on the systems. Acute exercise refers to short duration exercise, such as a cycle ergometer or a treadmill maximal exercise test. Chronic refers to extended or long term exercise, such a physical training programme of four to six months duration.

Implementing Cardiorespiratory Fitness as a Routine Measure in Health Care Settings

ABSTRACT It is well established that cardiorespiratory fitness (CRF) is inversely associated with numerous morbidities independent of age, biological sex, race or ethnicity, and commonly obtained risk factors. More recent evidence also demonstrates that the addition of CRF to multivariable risk prediction algorithms used to estimate cardiovascular disease risk improves risk stratification. However, it is neither feasible nor appropriate to perform an exercise test to quantify CRF during most routine clinical encounters. A growing number of studies have suggested that CRF can be assessed pragmatically and reasonably accurately without performing a maximal exercise test. The concept that CRF can be substantially improved in response to regular exercise consistent with consensus recommendations underscores the recommendation that CRF should be a routine measure—a vital sign—across health care settings. Herein, we provide a brief, narrative overview of the evidence in support of this recommendation.

Alterations in Surface Electromyography of the Upper Leg Muscles at Specified Respiratory Exchange Ratio Thresholds Ranges During a Maximal Exercise Test

Introduction: Assessing muscle electromyography (EMG) in conjunction with physiological alterations to exercise may be valuable to determine a more holistic approach to exercise-induced fatigue. Methods: Thirteen, recreationally trained individuals (n = 7 female, n = 6 males) underwent a maximal exercise test. Throughout the test, physiological variables were measured in addition to surface electromyography (sEMG) of the upper legs. Physiological and sEMG data was then grouped in to four category thresholds based on respiratory exchange ratios (RER) greater than 0.95. Results: There was a main effect of group (p < 0.001) as an increase in exercise intensity assessed by RER threshold ranges resulted in a subsequent reductions in sEMG frequencies with the exception of the sEMG frequencies recorded at VO2peak (p < 0.055). Conclusions: Upper leg sEMG frequencies decrease with increases in high intensity exercise, with the exception of near maximal loads.

Relationship Between Physiological Fatigue and Muscular Fatigue Assessed Utilizing Surface Electromyography Wearable Technology

Introduction: The purpose of the study was to assess the relationship between upper leg muscle fatigue and physiological fatigue during a maximal exercise test. Methods: A total of 13, trained athletes participated and were tested for maximal oxygen uptake (VO2peak). Throughout the test, oxygen uptake respiratory exchange ratio (RER), and heart rate (HR) were recorded simultaneously with surface electromyography (sEMG) electrodes utilizing wearable sEMG compression short technology. Results: During the maximal exercise test, there were significant positive relationships between Muscle Load and all physiological measures (p < 0.001 for all) and significant negative relationships between sEMG frequency and Muscle Load and all physiological measures of fatigue (p < 0.001 for all). Conclusions: Using sEMG wearable compression short technology may be a useful way to measure and monitor muscle strain and fatigue, primarily outside of a laboratory setting.

Different Signatures of High Cardiorespiratory Capacity Revealed With Metabolomic Profiling in Elite Athletes

Purpose: High cardiorespiratory capacity is a key determinant of human performance and life expectancy; however, the underlying mechanisms are not fully understood. The objective of this pilot study was to investigate biochemical signatures of endurance-performance athletes using high-resolution nontargeted metabolomics. Methods: Elite long-distance runners with similar training and anthropometrical records were studied. After athletes’ maximal oxygen consumption () was measured, they were divided into 2 groups: low (<65 mL·kg−1·min−1, n = 7) and high (>75 mL·kg−1·min−1, n = 7). Plasma was collected under basal conditions after 12 hours of fasting and after a maximal exercise test (nonfasted) and analyzed by high-resolution LC–MS. Multivariate and univariate statistics were applied. Results: A total of 167 compounds were putatively identified with an LC–MS-based metabolomics pipeline. Partial least-squares discriminant analysis showed a clear separation between groups. Significant variations in metabolites highlighted group differences in diverse metabolic pathways, including lipids, vitamins, amino acids, purine, histidine, xenobiotics, and others, either under basal condition or after the maximal exercise test. Conclusions: Taken together, the metabolic alterations revealed in the study affect cellular energy use and availability, oxidative stress management, muscle damage, central nervous system signaling metabolites, nutrients, and compound bioavailability, providing new insights into metabolic alterations associated with exercise and cardiorespiratory fitness levels in trained athletes.

Chester Step Test in patients with cardiovascular disease: practical applications in a cardiovascular prevention and rehabilitation setting

The Chester Step Test is a low-cost, sub-maximal exercise test, which is commonly used in the assessment of cardiorespiratory fitness in a cardiovascular prevention and rehabilitation setting. This review discusses the practical applications of the Chester Step Test in the context of its validity, reliability and predictability in measuring cardiorespiratory fitness. The Chester Step Test has been compared to the ‘gold standard’ treadmill test for validity. There was a strong correlation (r=0.92) between predicted VO2 values in the test and actual measurements from the treadmill test. In addition, the Chester Step Test has good reliability, which eliminates the need for a practice test. Furthermore, the Chester Step Test can provide valuable information on the patient's exercise tolerance to specific levels of sub-maximal stress, risk stratification, and physical activity/exercise prescription.