Frequency analysis of lower extremity electromyography signals for the quantitative diagnosis of dystonia

Go, Shanette A.; Coleman-Wood, Krista; Kaufman, Kenton R.

doi:10.1016/j.jelekin.2013.11.002

Cited by 24 publications

(15 citation statements)

References 16 publications

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“…The median power frequency (MdPF) and total power in low frequency were calculated for each muscle. The results revealed that MdPF for dystonic muscles had shifted to low frequencies and a concurrent increase in total power percentage in low-frequency range was observed [59]. Thus, frequency analysis of EMG signal not only provides us with distinction between normal and abnormal gait behavior but also specific gait abnormalities can be distinguished.…”

Section: Frequency and Time-frequency Analysismentioning

confidence: 90%

A Review of EMG Techniques for Detection of Gait Disorders

Singh¹,

Iqbal²,

White³

et al. 2019

Artificial Intelligence - Applications in Medicine and Biology

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Electromyography (EMG) is a commonly used technique to record myoelectric signals, i.e., motor neuron signals that originate from the central nervous system (CNS) and synergistically activate groups of muscles resulting in movement. EMG patterns underlying movement, recorded using surface or needle electrodes, can be used to detect movement and gait abnormalities. In this review article, we examine EMG signal processing techniques that have been applied for diagnosing gait disorders. These techniques span from traditional statistical tests to complex machine learning algorithms. We particularly emphasize those techniques are promising for clinical applications. This study is pertinent to both medical and engineering research communities and is potentially helpful in advancing diagnostics and designing rehabilitation devices.

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Section: Frequency and Time-frequency Analysismentioning

confidence: 90%

A Review of EMG Techniques for Detection of Gait Disorders

Singh¹,

Iqbal²,

White³

et al. 2019

Artificial Intelligence - Applications in Medicine and Biology

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show abstract

“…It has been reported that the bandwidth of usable energy for surface EMG signals is between 20–500 Hz [25]. Further, this bandwidth is used in clinical research [26]. The sampling rate is in accordance with the Nyquist theorem, which states that the sampling rate must be greater than twice the highest frequency component of the analog signal.…”

Section: System Configurationmentioning

confidence: 99%

Sock-Type Wearable Sensor for Estimating Lower Leg Muscle Activity Using Distal EMG Signals

Isezaki

Kadone

Niijima³

et al. 2019

Sensors

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Lower leg muscle activity contributes to body control; thus, monitoring lower leg muscle activity is beneficial to understand the body condition and prevent accidents such as falls. Amplitude features such as the mean absolute values of electromyography (EMG) are used widely for monitoring muscle activity. Garment-type EMG measurement systems use electrodes and they enable us to monitor muscle activity in daily life without any specific knowledge and the installation for electrode placement. However, garment-type measurement systems require a high compression area around the electrodes to prevent electrode displacement. This makes it difficult for users to wear such measurement systems. A less restraining wearable system, wherein the electrodes are placed around the ankle, is realized for target muscles widely distributed around the shank. The signals obtained from around the ankle are propagated biosignals from several muscles, and are referred to as distal EMG signals. Our objective is to develop a sock-type wearable sensor for estimating lower leg muscle activity using distal EMG signals. We propose a signal processing method based on multiple bandpass filters from the perspectives of noise separation and feature augmentation. We conducted an experiment for designing the hardware configuration, and three other experiments for evaluating the estimation accuracy and dependability of muscle activity analysis. Compared to the baseline based on a 20-500 Hz bandpass filter, the results indicated that the proposed system estimates muscle activity with higher accuracy. Experimental results suggest that lower leg muscle activity can be estimated using distal EMG signals.

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“…DAA-THA was performed on the right hip in 2014 at the Mayo Clinic in Rochester, MN. Based on the previously described standardized surgical technique [9] , an oblique incision was made over the anterior margin of the tensor muscle ∼2 cm lateral from the anterior superior iliac spine and extending 8-12 cm. The fascia of the tensor muscle was identified and incised.…”

Section: Case Historymentioning

confidence: 99%

Muscle activation pattern during gait and stair activities following total hip arthroplasty with a direct anterior approach: a comprehensive case study

2018

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Muscle activation following total hip arthroplasty with a direct anterior approach has not previously been reported in the literature. This case report details the electromyography outcome of a 60-year-old male patient with unilateral direct anterior approach-total hip arthroplasty during walking and stair activities. Outcome reports the continuation of altered muscle activation 12 months postoperatively, even with a good clinical outcome.

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Frequency analysis of lower extremity electromyography signals for the quantitative diagnosis of dystonia

Cited by 24 publications

References 16 publications

A Review of EMG Techniques for Detection of Gait Disorders

A Review of EMG Techniques for Detection of Gait Disorders

Sock-Type Wearable Sensor for Estimating Lower Leg Muscle Activity Using Distal EMG Signals

Muscle activation pattern during gait and stair activities following total hip arthroplasty with a direct anterior approach: a comprehensive case study

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