ArticleSensors (Basel, Switzerland)2019
Fatigue Detection during Sit-To-Stand Test Based on Surface Electromyography and Acceleration: A Case Study.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Shoulder Muscle Activity Through Surface Electromyography and Estimation of Physiological Fatigue Using the T-Fast Test in Patients With Glenohumeral Instability: A Cross-Sectional Study.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2025Trial
- A pressure-based motion intention recognition strategy for phase-specific knee exoskeleton assistance during sit-to-stand.Frontiers in physiology · 2026Article
- Rotational Power: A New Accelerometer-Derived Metric to Assess Functional Impairment in Multiple Sclerosis.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025Article
- AI-Assisted Fatigue and Stamina Control for Performance Sports on IMU-Generated Multivariate Times Series Datasets.Sensors (Basel, Switzerland) · 2023Article
- The Effect of Core Stabilization Exercise with the Abdominal Drawing-in Maneuver Technique on Stature Change during Prolonged Sitting in Sedentary Workers with Chronic Low Back Pain.International journal of environmental research and public health · 2022Article
- Recent Trends and Practices Toward Assessment and Rehabilitation of Neurodegenerative Disorders: Insights From Human Gait.Frontiers in neuroscience · 2022Review
- Deep Learning Based Early Detection Framework for Preliminary Diagnosis of COVID-19 via Onboard Smartphone Sensors.Sensors (Basel, Switzerland) · 2021Article
- Development of a Mitochondrial Myopathy-Composite Assessment Tool.JCSM clinical reports · 2021Article
- Machine Learning Approach for Fatigue Estimation in Sit-to-Stand Exercise.Sensors (Basel, Switzerland) · 2021Article
- Wearable Sensor Clothing for Body Movement Measurement during Physical Activities in Healthcare.Sensors (Basel, Switzerland) · 2021Article
- Review
- Sit-To-Stand Movement Evaluated Using an Inertial Measurement Unit Embedded in Smart Glasses-A Validation Study.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The latest studies of the 30-second sit-to-stand (30-STS) test aim to describe it by employing kinematic variables, muscular activity, or fatigue through electromyography (EMG) instead of a number of repetitions. The aim of the present study was to develop a detection system based on acceleration measured using a smartphone to analyze fatigue during the 30-STS test with surface electromyography as the criterion. This case study was carried out on one woman, who performed eight trials. EMG data from the lower limbs and trunk muscles, as well as trunk acceleration were recorded. Both signals from eight trials were preprocessed, being averaged and temporarily aligned. The EMG signal was processed, calculating the spectral centroid (SC) by Discrete Fourier Transform, while the acceleration signal was processed by Discrete Wavelet Transform to calculate its energy percentage. Regarding EMG, fatigue in the vastus medialis of the quadriceps appeared as a decrease in SC, with a descending slope of 12% at second 12, indicating fatigue. However, acceleration analysis showed an increase in the percentage of relative energy, acting like fatigue firing at second 19. This assessed fatigue according to two variables of a different nature. The results will help clinicians to obtain information about fatigue using an accessible and inexpensive device, i.e., as a smartphone.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.