IEEE J Biomed Health Inform - Analysis of the EMG Signal During Cyclic Movements Using Multicomponent AM-FM Decomposition.

Tópicos

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Resumo

Sport, fitness, as well as rehabilitation activities, often require the accomplishment of repetitive movements. The correctness of the exercises is often related to the capability of maintaining the required cadence and muscular force. Failure to maintain the required force, also known as muscle fatigue, is accompanied by a shift in the spectral content of the surface electromyography (EMG) signal toward lower frequencies. This paper presents a novel approach for simultaneously obtaining exercise repetition frequency and evaluating muscular fatigue, as functions of time, by only using the EMG signal. The mean frequency of the amplitude spectrum (MFA) of the EMG signal, considered as a function of time, is directly related to the dynamics of the movement performed and to the fatigue of the involved muscles. If the movement is cyclic, MFA will display the same pattern and its average will tend to decrease. These two effects have been simultaneously modeled by a two-component AM-FM model based on the Hilbert transform. The method was tested on signals recorded using a wireless system applied to healthy subjects performing dumbbell biceps curls, dumbbell lateral rises, and bodyweight squats. Experimental results show the excellent performance of the proposed technique.

Resumo Limpo

sport fit well rehabilit activ often requir accomplish repetit movement correct exercis often relat capabl maintain requir cadenc muscular forc failur maintain requir forc also known muscl fatigu accompani shift spectral content surfac electromyographi emg signal toward lower frequenc paper present novel approach simultan obtain exercis repetit frequenc evalu muscular fatigu function time use emg signal mean frequenc amplitud spectrum mfa emg signal consid function time direct relat dynam movement perform fatigu involv muscl movement cyclic mfa will display pattern averag will tend decreas two effect simultan model twocompon amfm model base hilbert transform method test signal record use wireless system appli healthi subject perform dumbbel bicep curl dumbbel later rise bodyweight squat experiment result show excel perform propos techniqu

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