Basic Monitoring Research Articles

Advanced design of target-driven self-powered sensor assisted by cascade catalytic strategy

In this work, a self-powered microsensor platform based on enzyme biofuel cells (EBFCs) was developed for intelligent monitoring of disease markers miRNA-451. The cascade catalysis system constructed by using the strategy of enzyme-like ZIF-8 nanocapsule incorporation with biological enzymes, which could simultaneously take into account the specificity of biological enzymes and the high activity of nano-enzymes, significantly promoted the electron transfer between glucose and the bio-anode surface, and improved the sensitivity and stability of the sensing system. Meanwhile, the target-triggered hybridization chain reaction (HCR) amplification strategy to achieve exponential signal amplification based on accurate recognition, and jointly improve the detection sensitivity. As expected, the micro-sensor platform has a wide linear range of 0.5–1.0 fmol/L with a low limit of detection (LOD) of 0.13 fmol/L (S/N = 3) and exhibits excellent selectivity, reproducibility and stability in interference assays under optimal detection conditions. The designed self-powered system is simple to construct, easy to transport and the data transmission mode is intelligent and controllable, which is expected to be used in basic biochemical research, clinical diagnosis and environmental monitoring.

Carotid sinus massage in clinical practice: the Six-Step-Method.

Carotid sinus massage (CSM) as integral part of cardiovascular autonomic testing is indicated in all patients > 40 years with syncope of unknown origin and suspected reflex mechanism. However, large practice variation exists in performing CSM that inevitably affects the positivity rate of the test and may result in an inaccurate diagnosis in patients with unexplained syncope. Even though CSM was introduced into medical practice more than 100 years ago, the method of performing CSM is still largely operator- and centre-dependent, while in many places, the test has been entirely abandoned. Here, we describe a standardized protocol on how to perform CSM, which basic monitoring equipment is necessary and why CSM is a safe procedure to perform. Our aim is to create a uniform approach to perform CSM. The new proposed algorithm, the Six-Step-Method, includes: (i) check history for exclusion CSM; (ii) turn head slightly contralaterally and posterior (see also explanatory video and poster provided as Supplementary material; (iii) palpation to identify carotid sinus location; (iv) massage for 10 s; (v) monitoring of blood pressure and heart rate to assess of the haemodynamic response type; and (vi) include time intervals between subsequent massages. Carotid sinus massage should be performed on both the left and right and in the supine and upright position. The recommended equipment to perform CSM consists of: (i) a tilt table in order to perform CSM in supine and standing position, (ii) a continuous blood pressure monitor or cardiac monitor, and (iii) at least two persons.

Study on OSA screening and influencing factors in community-based elderly hypertensive patients based on single-lead wearable ECG devices.

Assessing whether single-lead ECG can be effectively and relatively inexpensively used in large-scale OSA screening, and identifying factors influencing moderate-to-severe OSA among elderly hypertensive patients without atypical symptoms in primary care. The study gathered data from 15 medical institutions in Ningxia between January and December 2022 using cloud platforms. The dataset included basic information and 72-h ECG monitoring for 2573 hypertensive patients over 65. OSA screening was conducted using the single-lead wearable ECG devices based on the ACAT algorithm. A multivariable logistic regression identified the main factors affecting OSA severity in these patients, and the AUC was used to assess the model's predictive accuracy. The study found an OSA detection rate of 87.10%, with 55.42% being moderate to severe cases. Key risk factors associated with developing moderate-to-severe OSA included cardiac irregularities like supraventricular extrasystole and atrioventricular block, male gender, lifestyle factors like alcohol consumption and smoking, and health indicators such as SDNN ≤ 100ms, abnormal LF/HF ratio, BMI, and age. The model's accuracy for predicting OSA, indicated by a ROAUC of 0.625, was moderate. Factors like gender, tea consumption, stroke history, and ventricular tachycardia were also independently linked to OSA severity. This study combines single-lead wearable ECG devices with the ACAT algorithm for OSA screening in Ningxia, China. Initial screening identified 87.10% of participants as having OSA, with 55.42% being moderate to severe cases. This suggests a convenient, low-cost, and repeatable ECG-based method for OSA screening, potentially improving early detection and management of OSA by identifying potential risk factors.

Mechanical Structure Design of Pressure Sensors with Temperature Self-compensation for Invasive Blood Pressure Monitoring

Abstract Invasive blood pressure (IBP) is a fundamental part of basic cardiovascular monitoring. Conventional piezoresistive pressure sensors are limited in usage due to the high cost associated with equipment and intricate fabrication processes. Meanwhile, low-cost strain gauge pressure sensors have poor performance in the gauge factor (GF) and temperature insensitivity. Here, we report a mechanical structure design for diaphragm pressure sensors (DPSs) by introducing a compensation grid to overcome the aforementioned challenges. A simplified model is established to analyze the mechanical deformation and obtain the optimal design parameters of the DPS. By rationally arranging the placement of sensitive grids to eliminate the discrepancy of relative resistance changes within four arms of the Wheatstone full-bridge circuit, the appropriate GF and high temperature insensitivity are simultaneously achieved. The blood pressure sensor with the DPS is then fabricated and characterized experimentally, which demonstrates an appropriate GF (ΔU/U0)/P = 3.56 × 10−5 kPa−1 and low temperature coefficient of voltage (ΔU/U0)/ΔT = 3.4 × 10−7 °C−1. The developed mechanical structure design offers valuable insights for other resistive pressure sensors to improve the GF and temperature insensitivity.

Basic Sanitation Management at Ibnu Cholil Islamic Boarding School in Bangkalan Regency

Basic sanitation is critical to achieving health as it plays a major role in preventing the spread of disease. The benefits of basic sanitation management include the prevention of diseases such as diarrhea, dengue, and typhoid. The purpose of this study was to determine the management of basic sanitation which includes the provision of clean water, waste management, provision of healthy latrines, and provision of sewerage in Ibn Cholil Islamic Boarding School, Bangkalan Regency. The type of research used is descriptive with a qualitative approach. Research instruments were interviews and observation checklists with POAC assessment criteria (planning, organizing, actuanting, and controlling). The research variables were the provision of clean water, waste management, provision of healthy latrines, provision of sewerage. The results of the research on basic sanitation management of clean water supply in male dormitories (71%) are in the good category and in female dormitories (62%) are in the sufficient category. Waste management in male dormitories (52%) and in female dormitories (56%) is included in the sufficient category. The provision of healthy latrines in male dormitories (68%) and in female dormitories (73%) is categorized as good. The condition of sewerage in male dormitories (10%) and in female dormitories (24%) is categorized as insufficient. The conclusion of this study shows that the implementation of basic sanitation management management in Ibn Cholil Islamic boarding school, Bangkalan Regency is in the moderate category. It is necessary to educate about basic sanitation management and direct monitoring from the health center. INDEX TERMS Basic Sanitation, Management, Boarding School.

Bleeding Following Pediatric Liver Transplantation: A Brief Overview

End-stage liver disease (ESLD) occasionally needs liver transplantation (LT) as a life-saving treatment. In pediatric population, LT procedure is more complicated than adults, since they are mainly caused by extrahepatic cholestasis, has a variety of age groups, and has various infection susceptibilities. Furthermore, there is a complication related to LT, such as bleeding, which cannot be disregarded because it may aggravate patients’ conditions and necessitate reoperation. Moreover, in the case of hepatic artery thrombosis and portal vein thrombosis, which is caused by severe bleeding, patients and grafts’ survival may be significantly reduced. In this review, we are discussing bleeding following LT phenomena from the basic introduction, pathophysiology, prevention, monitoring, and treatment

Changing phenology of benthic primary producers in inland waters: Current knowledge and future directions

AbstractBenthic primary producers (BPP) in inland waters, including aquatic macrophytes and periphyton, are foundational habitats that are highly sensitive to multiple human drivers of environmental change. However, long‐term seasonal monitoring of BPP is limited, leaving us with little information on the cause, directionality, and consequences of the potential shifts in timing of BPP life cycle events. Here, we review the literature on the phenological changes of BPP and show that BPP respond primarily to temperature, but also to other interactive drivers related to climate change and eutrophication. In addition, we present four rare case studies where BPP display strong and earlier shifts in event timing associated with increasing temperature and discuss potential impacts of these changes on ecosystem functioning. Given the responsive nature of BPP to multiple human drivers, we provide suggestions on how to improve basic monitoring to better understand the future impact of phenological changes of this critical habitat.

Analysing Patient Trajectories of Individuals with Alcohol Use Disorders (PRAGMA)

Abstract: Aim: Alcohol use is causing a considerable health burden for individuals and society in Germany. To reduce the burden from alcohol use, ensuring optimal treatment for those who are in need, is key. With this data-linkage study, we aim to provide a comprehensive description of healthcare service use among individuals with alcohol use disorders (AUD) in Hamburg, the second-largest German city. Methods: The study population is defined as adults living in Hamburg, currently insured by one of two statutory health insurance funds and with at least one alcohol-specific ICD-10 code between 2016 and 2021. Additionally, we will obtain data from pension funds and the Hamburg basic data monitoring system of outpatient addiction aid. By using unique identifiers, individual register data from these three sources will be linked. Hypotheses and qualitative analyses are presented in the form of research questions to analyse administrative prevalence rates, patient trajectories and predictors of treatment success as well as to estimate the impact of prototypical care pathways and the COVID-19 pandemic on utilization of alcohol-specific healthcare services. Discussion: The study ‘Patient Routes of People with Alcohol Use Disorders in Germany’ (PRAGMA) will be the first to provide an in-depth understanding of treatment provision for people with AUD in Germany. Following up a heterogeneous sample of people with AUD for six years will provide a unique opportunity to compare current with recommended care pathways as well to identify options for care improvements.

Quality of Service (QoS) Pada Jaringan Wi-Fi (Wireless Fidelity) FKIP UNTIRTA Menggunakan Software Wireshark

Wi-Fi (Wireless Fidelity) networks have become vital infrastructure in the era of modern wireless communications. With the rapid development of technology, monitoring and analyzing Wi-Fi networks has become increasingly important to ensure optimal performance and guaranteed security. Wireshark software has become one of the most popular and reliable tools in analyzing computer networks, including Wi-Fi networks. Wireshark is a very popular and powerful open source network analysis software. Originally known as Ethereum, Wireshark was developed by a team of volunteers and released under the GNU General Public License (GPL). The software can run on multiple platforms, including Windows, macOS, and Linux, making it a flexible tool for network analysis. The method used shows how to solve an analysis or analysis of a problem. This method section uses a literature study which is packaged briefly, clearly and concisely, so that it can be understood well. Another method used is to carry out simulation practices on Wireshark software to get results from a network. This abstract discusses the use of Wireshark in the context of Wi-Fi networks, covering basic Wi-Fi network concepts, monitoring and analysis methods, and security applications. Through careful monitoring and analysis with Wireshark, users can identify network performance issues, detect security threats, and optimize use of their Wi-Fi network. This abstract provides a comprehensive overview of Wireshark's role in understanding and effectively managing Wi-Fi networks.

Tips and Thought Processes to Overcome Difficult Situations in Third Space Endoscopy.

Third space endoscopy (TSE) offers diverse treatment options for a variety of conditions of the gastrointestinal tract and motility disorders. Accuracy and precise dissection have helped treat complex conventional surgeries with TSE. Despite over a decade of its presence, difficult situations are routinely encountered. The first challenging situation is decision-making (before the procedure), the second is tackling procedure-induced pulmonary / insufflation-related adverse events and intra-operative complications (during the procedure), and the third is post-operative complications and morbidity (post-procedure). The performance of TSE procedures is not without risk. Patients should receive enough time to weigh their options, considering that attitudes toward risk impact decision-making. Continuous basic patient monitoring and the micro-movements of endoscopic and electrosurgical equipment is crucial to avoid accidental injury. Anaesthetists should be mindful of anticipated complications and closely monitor, diagnose, and treat them. Demanding situations need careful consideration, problem-solving, or persistence to overcome challenges. This brief review provides inputs on preventing and tackling difficult situations in TSE.

Dynamic changes of hepatic vein Doppler velocities predict preload responsiveness in mechanically ventilated critically ill patients

BackgroundAssessment of dynamic parameters to guide fluid administration is one of the mainstays of current resuscitation strategies. Each test has its own limitations, but passive leg raising (PLR) has emerged as one of the most versatile preload responsiveness tests. However, it requires real-time cardiac output (CO) measurement either through advanced monitoring devices, which are not routinely available, or echocardiography, which is not always feasible. Analysis of the hepatic vein Doppler waveform change, a simpler ultrasound-based assessment, during a dynamic test such as PLR could be useful in predicting preload responsiveness. The objective of this study was to assess the diagnostic accuracy of hepatic vein Doppler S and D-wave velocities during PLR as a predictor of preload responsiveness.MethodsProspective observational study conducted in two medical–surgical ICUs in Chile. Patients in circulatory failure and connected to controlled mechanical ventilation were included from August to December 2023. A baseline ultrasound assessment of cardiac function was performed. Then, simultaneously, ultrasound measurements of hepatic vein Doppler S and D waves and cardiac output by continuous pulse contour analysis device were performed during a PLR maneuver.ResultsThirty-seven patients were analyzed. 63% of the patients were preload responsive defined by a 10% increase in CO after passive leg raising. A 20% increase in the maximum S wave velocity after PLR showed the best diagnostic accuracy with a sensitivity of 69.6% (49.1–84.4) and specificity of 92.8 (68.5–99.6) to detect preload responsiveness, with an area under curve of receiving operator characteristic (AUC–ROC) of 0.82 ± 0.07 (p = 0.001 vs. AUC–ROC of 0.5). D-wave velocities showed worse diagnostic accuracy.ConclusionsHepatic vein Doppler assessment emerges as a novel complementary technique with adequate predictive capacity to identify preload responsiveness in patients in mechanical ventilation and circulatory failure. This technique could become valuable in scenarios of basic hemodynamic monitoring and when echocardiography is not feasible. Future studies should confirm these results.

Tactics of infusion therapy in patients with acute destructive pancreatitis: a narrative review

INTRODUCTION: Infusion therapy is the main method of correcting pathological changes that occur during the phase of “aseptic” inflammation in acute pancreatitis. OBJECTIVE: Summarize current data on infusion therapy regimens in patients with acute destructive pancreatitis, the advisability of using various infusion solutions and options for monitoring the effectiveness of therapy. MATERIALS AND METHODS: The study was carried out in accordance with international reporting requirements for reviews (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). The search was carried out in the following Internet search engines Pubmed and Cochrane Controlled Clinical Trials Register. To select articles, a literature reference search method was also used. The search strategy did not include restrictions on language, article type, or date. RESULTS: The analysis of literature data revealed two approaches to infusion therapy. The initial interest in “aggressive (4 liters per day or more)” infusion therapy regimens in the first 24 hours of the disease has now been replaced by a trend towards less “aggressive” regimens due to the publication of works on the high incidence of various complications (progression of organ dysfunction, local complications). When considering the qualitative composition of infusion therapy, preference should certainly be given to crystalloids. Basic monitoring of infusion therapy should include non-invasive methods: heart rate, blood pressure, diuresis rate. CONCLUSIONS: The analysis demonstrated different approaches to the tactics of infusion therapy in this category of patients. further research into the effectiveness and safety of infusion therapy, taking into account the varying severity of acute pancreatitis, the possibility of the influence of the qualitative composition of the infusion on the course of this disease and the formation of recommendations for initial and maintenance infusion therapy based on the principles of personalized medicine.

A Practical Study on Improving the Professionalism of Elementary School English Teachers Based on Compulsory Education Testing

In the face of the ever-opening contemporary China, English has become an indispensable communication tool. Based on the results of basic education quality monitoring and existing research results on teacher professional quality, this paper investigates the professional quality of English teachers in representative primary school in Xi'an, examining the teachers’ professional quality in five dimensions, namely, the basic situation, professionalism, professional knowledge and professional abilities, and training status and conducting interviews with relevant teachers. Through the survey, it was found that elementary school English teachers in Xi'an have high professional ideals and good professionalism, have a high sense of teaching effectiveness, and have a good grasp of English education professional knowledge. The teachers' professional abilities basically meet the requirements of English teaching, and they hope to receive further regular training in teaching methods, skills training, and the ability to write papers. At the same time, some problems were also discovered: the gender ratio of teachers is disproportionate, and teaching philosophy is not fully implemented; teachers lack mastery of theoretical knowledge and scientific research knowledge, and their oral English expression still needs to be improved; parent resources cannot be better utilized; the adoption of teaching methods requires to be further improved, teaching methods need to be further improved; teachers’ scientific research capabilities are weak, etc. In view of the existing problems, the article puts forward suggestions for improving the professional quality of elementar school English teachers in Xi'an: strengthening teachers' professional emotional quality; deepening teachers' understanding of teaching concepts; strengthening the cultivation of teachers' professional knowledge and professional abilities; strengthening the cultivation of teacher's educational research ability.

Barriers to safe anaesthesia care in South Asian countries: a virtual focus group discussion.

To identify barriers to safe anaesthesia practice across the South Asian region. The qualitative study was conducted from September 2020 to August 2021 at the Department of Anaesthesiology at a leading medical university after getting exemption from the ethics review committee of the Pakistan Society of Anaesthesiologists. The sample comprised anaesthetists from 6 countries of the South Asian Association for Regional Cooperation. Data was collected through a focus group discussion held virtually using the Zoom app on September 22, 2020. The proceedings were transcribed and the data was subjected to thematic analysis. Of the 12 anaesthetists, 4(33.3%) were from India, 3(25%) from Pakistan, 2(16.7%) from Bangladesh, and 1(8.3%) each from Sri Lanka, Nepal and Afghanistan. There were 2 main themes identified; Safe anaesthesia and barriers to safe anaesthesia. They had 4 and 6 subthemes, respectively. The participants agreed that fresh medical graduates were not choosing anaesthesia as a preferred career specialty. One major concern raised was that qualified anaesthetists were leaving their countries for better-paid jobs abroad. The lack of a definition describing qualified anaesthetists in South Asian countries was pointed out. Lack of basic monitoring and drugs, brain drain, lack of ownership, lack of training programmes, lack of accountability, weak leadership, and disconnect between professional societies and governments were identified as the main barriers to safe anaesthesia.

A dataset of 1 km grid drainage density in China (2019)

Drainage density is an outcome of the combined influence of watershed landform, climate, soil, and vegetation. As a comprehensive characterization index, the measurement and monitoring of drainage density is of great significance to environmental protection and water resources allocation in regional watersheds. This paper uses river water surface vector data from the third National Land Survey, extracting the river center line. Then, the kilometer grid network production software is employed to generate the dataset of 1 km grid drainage density in China. Rigorous quality control and quality inspection measures throughout all stages of data processing have been implemented, including river surface vector extraction, river skeleton line extraction, and kilometer grid density calculation, to ensure the correctness, integrity and consistency of the data. This dataset can be used for national and regional hydrogeological analysis, soil erosion estimation, planning and layout of basic monitoring station network, etc.

Impact of Environmental Food Intake on the Gut Microbiota of Endangered Père David's Deer: Primary Evidence for Population Reintroduction.

Reintroduction has been successful in re-establishing several endangered wild animals in their historical habitats, including Père David's deer (Elaphurus davidianus). Continuous monitoring of reintroduced individuals is essential for improving the sustainability of ex situ conservation efforts. Despite an increased recognition of the significance of the gut microbiome for animal health, the correlation between diet and the gut microbiome in E. davidianus is unclear. In this study, 15 fresh fecal samples of E. davidianus were collected from Tianjin Qilihai Wetland and the association between dietary and gut microbiota composition was evaluated. Microscopic observations showed that Nymphoides peltata [relative density (RD = 0.3514), Phragmites australis (RD = 0.2662), Setaria viridis (RD = 0.1211), and Typha orientalis (RD = 0.1085) were the main dietary plants in the fecal samples. High-throughput 16S rRNA sequencing showed a predominance of the phyla Firmicutes and Proteobacteria and the genus Psychrobacillus (26.53%) in the gut microbiota. The RD of N. peltata was significantly positively correlated with the abundance of Firmicutes (p = 0.005) and the genus UCG-005 (p = 0.024). This study indicates a close association between food digestion and nutrient intake, providing basic monitoring data for the full reintroduction and recovery of wild E. davidianus.

Practice patterns in pediatric infectious encephalopathy in four centers in Africa.

Infectious encephalopathy (IE), including meningitis, infectious encephalitis, and cerebral abscess, remains prevalent and carries high mortality and morbidity in children, especially in low and middle income countries (LMIC). This study aims to describe the usual care and outcomes of pediatric IE in four LMIC hospitals in sub-Saharan Africa to support evidence-based care guideline development. This is a secondary analysis of the Prevalence of Acute Critical Neurological disease in children: A Global Epidemiological Assessment-Developing Countries study, a 4-week, prospective, observational study in children (1 week to 17 years) with IE presenting to referral hospitals in Ethiopia, Kenya, Rwanda, and Ghana. Data collection included diagnostic testing, interventions, and patient outcomes [e.g., mortality, Pediatric Cerebral and Overall Performance Category Scores (PCPC and POPC)]. Seventy-two children with IE were enrolled. Most patients were diagnosed with undifferentiated IE (78%, n = 56). Specific etiologies included cerebral malaria (10%, n = 7), viral encephalitis (4%, n = 3), tuberculosis (4%, n = 3), bacterial meningitis (3%, n = 2), and cerebral abscess (1%, n = 1). Fourteen patients (20%) had a head computed tomography performed. Thirty two (44%) children had a lumbar puncture but only 9 samples (28%) were sent for culture. Median time from diagnosis to antimicrobial therapy was 3 h (IQR 1-12 h). Half (51%, n = 33) of inpatients received intracranial pressure (ICP)-directed treatment but none underwent ICP monitoring. Mortality was 13% (n = 9). The percentage of children with a favorable cognitive score decreased from 95% (n = 62) prior to admission to 80% (n = 52) and 77% (n = 50) at discharge for PCPC and POPC respectively. IE led to considerable morbidity and mortality in this cohort, and evaluation and management varied across the care continuum. Resource limitations and diagnostic constraints may have affected diagnosis-directed therapy and other aspects of management. Further studies are needed to describe the epidemiology and management of IE in LMICs to inform future treatment protocols, the role of technological and human capacity building to support both basic monitoring and interventions, as well as creative new solutions to emergency and critical care in these settings.

Myelin bilayer mapping in the human brain in vivo.

To quantitatively map the myelin lipid-protein bilayer in the live human brain. This goal was pursued by integrating a multi-TE acquisition approach targeting ultrashort T2 signals with voxel-wise fitting to a three-component signal model. Imaging was performed at 3 T in two healthy volunteers using high-performance RF and gradient hardware and the HYFI sequence. The design of a suitable imaging protocol faced substantial constraints concerning SNR, imaging volume, scan time, and RF power deposition. Model fitting to data acquired using the proposed protocol was made feasible through simulation-based optimization, and filtering was used to condition noise presentation and overall depiction fidelity. A multi-TE protocol (11 TEs of 20-780 μs) for in vivo brain imaging was developed in adherence with applicable safety regulations and practical scan time limits. Data acquired using this protocol produced accurate model fitting results, validating the suitability of the protocol for this purpose. Structured, grainy texture of myelin bilayer maps was observed and determined to be a manifestation of correlated image noise resulting from the employed acquisition strategy. Map quality was significantly improved by filtering to uniformize the k-space noise distribution and simultaneously extending the k-space support. The final myelin bilayer maps provided selective depiction of myelin, reconciling competitive resolution (1.4 mm) with adequate SNR and benign noise texture. Using the proposed technique, quantitative maps of the myelin bilayer can be obtained in vivo. These maps offer unique information content with potential applications in basic research, diagnosis, disease monitoring, and drug development.

Multiview Deep Learning-based Efficient Medical Data Management for Survival Time Forecasting.

In recent years, data-driven remote medical management has received much attention, especially in application of survival time forecasting. By monitoring the physical characteristics indexes of patients, intelligent algorithms can be deployed to implement efficient healthcare management. However, such pure medical data-driven scenes generally lack multimedia information, which brings challenge to analysis tasks. To deal with this issue, this paper introduces the idea of ensemble deep learning to enhance feature representation ability, thus enhancing knowledge discovery in remote healthcare management. Therefore, a multiview deep learning-based efficient medical data management framework for survival time forecasting is proposed in this paper, which is named as "MDL-MDM" for short. Firstly, basic monitoring data for body indexes of patients is encoded, which serves as the data foundation for forecasting tasks. Then, three different neural network models, convolution neural network, graph attention network, and graph convolution network, are selected to build a hybrid computing framework. Their combination can bring a multiview feature learning framework to realize an efficient medical data management framework. In addition, experiments are conducted on a realistic medical dataset about cancer patients in the US. Results show that the proposal can predict survival time with 1% to 2% reduction in prediction error.

Simple low-cost guide to athlete fatigue monitoring

As the demands of training and competition increase so does the potential risk of injury and illness to the athlete whilst seeking to maximize their adaptive processes to promote optimal performance. Therefore, as a strategy to mitigate this risk, strength and conditioning coaches need reliable and valid monitoring tools to track an athlete’s status throughout training to ensure progression of adaptation, and that the athlete remains healthy throughout the adaptation process. The purpose of this article is to provide the reader an evidence-driven outline of basic, simple, and cost-effective monitoring tools which are reliable and valid to observe the fitness/fatigue paradigm and track overall athlete physical adaptation and health throughout the training process, suitable for most settings. A weekly example calculating sessional ratings of perceived exertion (sRPE), training load, monotony, and strain is provided along with a basic monitoring system as a guide for the reader.