View clinical trials related to Fatigue.
Filter by:This study is expected to propose an industry-university cooperation research case for the next two years. When cancer patients use ePRO to record subjective fatigue, and smart watches with 4G communication record objective fatigue, they will be given according to the patient's current degree of mild, moderate and severe fatigue. Suffer from 'exercise or activity' advice and lead the implementation of appropriate exercise advice. This study is expected to design aerobic + anaerobic exercise suitable for mild or moderate patients, and use the sensor of the smart watch to monitor the effect of exercise and fatigue. To sum up, the first-year plan is expected to use the established ePRO electronic records, combined with the LINE communication system, to integrate into a "cancer-related fatigue electronic registration and care system"; the second-year plan will integrate objective fatigue classifiers, Establish the exercise care option in the fatigue care system, and use the smart watch to establish a technology record function of the exercise process to help track the fatigue level of cancer patients.
To support the landed soldier during operational missions in hostile environment, equipment must be designed to enable soldiers to cope with strong visual, auditory and informational demands. Technological solutions proposed by manufacturers are embodied in increasingly sophisticated systems. These systems take too little account of the characteristics of the perceptive and cognitive skills of human beings in an action situation. Cognitive load results from the interaction between, on the one hand, the characteristics of the task and the constraints it imposes, and on the other hand, the resources available to the individual, in terms of skills, motivation, physiological state and social support. The phenomenon of cognitive overload occurs when the individual no longer has sufficient resources to meet the demands of the task, which leads to a deterioration in his performance which, in high-risk situations, jeopardizes his safety. Tasks are treated differently depending on their level of difficulty. We will base ourselves on Rasmussen's SRK (Skill Rule Knowledge) model, which describes three levels of information processing: level S refers to the (automatic) processing of sensory-motor and cognitive skills, level R refers to the execution of rules and procedures embedded in mental models, and level K refers to the mental activities of elaborating procedures, based on high-level cognitive mechanisms, such as anticipation, evaluation or planning. Multitasking situations are therefore generally composed of tasks of various levels of difficulty which lead to a higher or lower cost of cognitive control. Thus, this study is aimed at identifying variations in the subjective level of cognitive load of landed combatants (group leaders) as a function of the level of difficulty of primary tasks.
This study aimed to investigate amantadine's safety and its effect on reducing post-COVID-19 fatigue.
The pandemic caused by SARS-CoV-2 infection has resulted, in addition to the well-known acute symptoms, in the emergence of a plethora of persistent, diffuse and heterogeneous symptoms such as fatigue, shortness of breath and cognitive dysfunction among others, that have come to be called persistent COVID. Patients have reported that physical activity, stress and sleep disturbances often trigger exacerbations of their symptoms related by some authors to the so-called Post Exertional Malaise (PEM) characteristic of Myalgic Encephalomyelitis. Similarly, by analogy with other pathologies, it has been hypothesized that optimal exercise prescription would benefit these people with persistent COVID-19 symptoms but in practice, the rehabilitation of these patients runs the risk of collapsing respiratory and physical rehabilitation services. This is why COPERIA proposes the construction of a platform for respiratory, cardiac and muscular telerehabilitation, to compare with face-to-face rehabilitation treatment and to try to predict the influence of physical activity in the prediction of PEM.
The pandemic caused by SARS-CoV-2 infection has resulted, in addition to the well-known acute symptoms, in the emergence of persistent, diffuse and heterogeneous symptoms referred to as persistent COVID. Common symptoms include fatigue, shortness of breath, and cognitive dysfunction, among others, and result in an impact on daily functioning. Symptoms may be new onset, appear after initial recovery from an acute episode of COVID-19, or persist after the initial illness. Cardiac variability (HRV) was initially used in COVID-19 to predict mortality in the acute setting. Dysautonomia which partly evaluates HRV is frequent in patients with persistent COVID. Several groups have used voice or other respiratory noise analysis for the diagnosis of acute COVID. Patients in the persistent COVID cohort will be able to be differentiated from an age, sex and vaccination status matched cohort of recovered COVID patients without sequelae by means of a model created by Machine Learning that will be trained using cardiac variability (HRV), skin conductance and acoustic analysis data. The primary objetive will be to obtain a classification algorithm by Machine Learning to differentiate the group of patients with persistent COVID diagnosis from the paired group of recovered COVID patients without sequelae.
The aims of this study were to perform cultural adaptation of the F-2-MS and provide information regarding the factor structure, reliability and validity of the instrument in Turkish speaking patients with Multiple Sclerosis.
Testicular germ cell tumor (TGCT) is the most common malignancy in men between 15 and 40 years. Although TCGT survivors have a good survival prognosis, they suffer from short- and long-term sequelae such as chronic fatigue, psychological disorders, cardiovascular toxicities and second malignancies. The benefits of physical activity (PA) during treatments have been demonstrated in cancer patients to improve quality of life (QoL) and physical fitness and to reduce fatigue. However, few PA programs have been proposed to TGCT patients and their effects on sequelae have not been assessed yet. A growing body of evidence links treatment-related alteration in the gut microbiota to sequelae of cancer survivors, including fatigue and cardiovascular toxicities. Also, PA has been known as a possible modulator of the gut microbiota composition. To date, no study has been conducted to examine how the gut microbiota and its metabolites moderate the effect of PA on fatigue and other late effects in TGCT survivors. The objectives will be to assess the impact of a PA program on fatigue and other sequelae and to investigate how the gut microbiota and its metabolites moderate the associations between PA and sequelae. We will conduct a prospective, multicenter, phase III, randomized controlled trial of a one-year supervised PA program. 236 men with metastatic TGCT and eligible for a first line of chemotherapy will be randomly assigned to either PA intervention or control arm. All patients will benefit from a connected activity tracker and PA recommendations. In the intervention arm, PA will be based on supervised sessions and motivational interviews. The primary endpoint (fatigue) will be assessed at 3 years. The trial will provide novel insights into the impact of PA on fatigue and other sequelae in TGCT survivors with understanding a potential underlying mechanism of gut microbiota. This evidence will support the development of targeted PA guidelines to improve QoL and reduce sequelae in TGCT survivors.
This research is being done to find out if using a smartphone app as digital treatment to reduce Cancer Related Fatigue is feasible and easy to use. This research study is evaluating a smartphone application named the "Untire" app. The Untire app was designed as a digital treatment plan for people experiencing Cancer Related Fatigue (CRF).
This work is aimed to assess the long term effect of TDCS in fatigue management among MS patients
The aim of this study is to investigate the effect of intensive combined rehabilitation therapy in form of Graded Exercise Therapy (GET) , Cognitive Behavioral Therapy (CBT) to treat patients with post COVID19 chronic fatigue syndrome .