Pages that link to "Q54002795"

The following pages link to Time-frequency parameters of the surface myoelectric signal for assessing muscle fatigue during cyclic dynamic contractions. (Q54002795):

Displaying 43 items.

• Predicting Blood Lactate Concentration and Oxygen Uptake from sEMG Data during Fatiguing Cycling Exercise (Q28607645) (← links)
• The effect of music on robot-assisted laparoscopic surgical performance. (Q30393318) (← links)
• A review of non-invasive techniques to detect and predict localised muscle fatigue (Q30472323) (← links)
• Estimating Neural Control from Concentric vs. Eccentric Surface Electromyographic Representations during Fatiguing, Cyclic Submaximal Back Extension Exercises (Q33689853) (← links)
• Computation and evaluation of features of surface electromyogram to identify the force of muscle contraction and muscle fatigue. (Q33786997) (← links)
• Muscular Activity and Fatigue in Lower-Limb and Trunk Muscles during Different Sit-To-Stand Tests (Q35823254) (← links)
• Age and gender related neuromuscular pattern during trunk flexion-extension in chronic low back pain patients (Q36596612) (← links)
• Limitations of Spectral Electromyogramic Analysis to Determine the Onset of Neuromuscular Fatigue Threshold during Incremental Ergometer Cycling (Q36607799) (← links)
• Statistical validation of wavelet transform coherence method to assess the transfer of calf muscle activation to blood pressure during quiet standing (Q37427972) (← links)
• The effectiveness of FES-evoked EMG potentials to assess muscle force and fatigue in individuals with spinal cord injury (Q38229674) (← links)
• Repeatability of electromyography normalization of the neck and shoulder muscles in symptomatic office workers (Q38865354) (← links)
• A novel fuzzy approach for automatic Brunnstrom stage classification using surface electromyography. (Q39137515) (← links)
• Reducing power line interference in digitised electromyogram recordings by spectrum interpolation (Q39692596) (← links)
• Myoelectric signal compression using zero-trees of wavelet coefficients (Q44602573) (← links)
• Muscle fatigue during cross country sprint assessed by activation patterns and electromyographic signals time-frequency analysis. (Q44857599) (← links)
• Alterations in Spectral Attributes of Surface Electromyograms after Utilization of a Foot Drop Stimulator during Post-Stroke Gait (Q47119806) (← links)
• The effects of muscle fatigue and movement height on movement stability and variability (Q47390433) (← links)
• Intermuscular coherence contributions in synergistic muscles during pedaling (Q48256508) (← links)
• Shifts in EMG spectral power during fatiguing dynamic contractions (Q48707705) (← links)
• Muscle cocontraction following dynamics learning (Q49149667) (← links)
• Analysis of concentric and eccentric contractions in biceps brachii muscles using surface electromyography signals and multifractal analysis (Q50621781) (← links)
• Evaluating Robotic Surgical Skills Performance Under Distractive Environment Using Objective and Subjective Measures. (Q50875405) (← links)
• Super wavelet for sEMG signal extraction during dynamic fatiguing contractions (Q50992134) (← links)
• Electromyographic adjustments during continuous and intermittent incremental fatiguing cycling (Q51128929) (← links)
• A Lempel–Ziv complexity measure for muscle fatigue estimation (Q51616391) (← links)
• Analysis of Muscle Fatigue Progression using Cyclostationary Property of Surface Electromyography Signals (Q51653999) (← links)
• An estimation of the influence of force decrease on the mean power spectral frequency shift of the EMG during repetitive maximum dynamic knee extensions (Q51833484) (← links)
• Validated robotic laparoscopic surgical training in a virtual-reality environment. (Q51888738) (← links)
• Robotic surgery and training: electromyographic correlates of robotic laparoscopic training (Q51948574) (← links)
• Effects of carbohydrate availability on sustained shivering II. Relating muscle recruitment to fuel selection. (Q55036801) (← links)
• Estimation of Handgrip Force from SEMG Based on Wavelet Scale Selection. (Q55219320) (← links)
• Causes of Performance Degradation in Non-invasive Electromyographic Pattern Recognition in Upper Limb Prostheses (Q57300041) (← links)
• Muscle conduction velocity, surface electromyography variables, and echo intensity during concentric and eccentric fatigue (Q57652978) (← links)
• Time-frequency coherence of categorized sEMG data during dynamic contractions of biceps, triceps, and brachioradialis as an approach for spasticity detection (Q57798576) (← links)
• Approximating the Time-Frequency Representation of Biosignals with Chirplets (Q59254232) (← links)
• Cross Time-Frequency Analysis of Gastrocnemius Electromyographic Signals in Hypertensive and Nonhypertensive Subjects (Q59254558) (← links)
• Assessing aberrant muscle activity patterns via the analysis of surface EMG data collected during a functional evaluation (Q60920403) (← links)
• Evaluation of muscle fatigue during 100-m front crawl (Q84996861) (← links)
• Fatigue Detection during Sit-To-Stand Test Based on Surface Electromyography and Acceleration: A Case Study (Q90384509) (← links)
• Validation of a Low-Cost Electromyography (EMG) System via a Commercial and Accurate EMG Device: Pilot Study (Q91642660) (← links)
• Is the Use of a Low-Cost sEMG Sensor Valid to Measure Muscle Fatigue? (Q92081610) (← links)
• Age-specific differences in the time-frequency representation of surface electromyographic data recorded during a submaximal cyclic back extension exercise: a promising biomarker to detect early signs of sarcopenia (Q93009925) (← links)
• Fatigue Evaluation through Machine Learning and a Global Fatigue Descriptor (Q93053298) (← links)