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1.
Zhongguo Yi Liao Qi Xie Za Zhi ; 38(5): 322-4, 332, 2014 Sep.
Artigo em Chinês | MEDLINE | ID: mdl-25597076

RESUMO

For the study of muscle function and features during exercise, a multi-channel data acquisition system was developed, the overall design of the system, hardware composition, the function of system and so on have made a detail implements. The synchronous acquisition and storage of the surface EMG signal, joint angle signal, plantar pressure signal, ultrasonic image and initial results have been achieved.


Assuntos
Eletromiografia/instrumentação , Exercício Físico , , Humanos , Movimento (Física) , Músculo Esquelético/fisiologia
2.
Ultrasound Med Biol ; 39(11): 2194-201, 2013 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-23969163

RESUMO

Muscle thickness is one of the most widely used parameters for quantifying muscle function. Ultrasonography is frequently used to estimate changes in muscle thickness in both static and dynamic contractions. Conventionally, most such measurements are conducted by manual analysis of ultrasound images. This manual approach is time consuming, subjective, susceptible to error and not suitable for measuring dynamic change. In this study, we developed an automated tracking method based on an optical flow algorithm using an affine motion model. The goal of the study was to evaluate the performance of the proposed method by comparing it with the manual approach and by determining its repeatability. Real-time B-mode ultrasound was used to examine the rectus femoris during voluntary contraction. The coefficient of multiple correlation (CMC) was used to quantify the level of agreement between the two methods and the repeatability of the proposed method. The two methods were also compared by linear regression and Bland-Altman analysis. The findings indicated that the results obtained using the proposed method were in good agreement with those obtained using the manual approach (CMC = 0.97 ± 0.02, difference = -0.06 ± 0.22 mm) and were highly repeatable (CMC = 0.91 ± 0.07). In conclusion, the automated method proposed here provides an accurate, highly repeatable and efficient approach to the estimation of muscle thickness during muscle contraction.


Assuntos
Interpretação de Imagem Assistida por Computador/métodos , Contração Muscular/fisiologia , Músculo Esquelético/diagnóstico por imagem , Músculo Esquelético/fisiologia , Técnica de Subtração , Ultrassonografia/métodos , Gravação em Vídeo/métodos , Algoritmos , Humanos , Aumento da Imagem/métodos , Imageamento Tridimensional/métodos , Masculino , Fluxo Óptico , Tamanho do Órgão/fisiologia , Reconhecimento Automatizado de Padrão/métodos , Reprodutibilidade dos Testes , Sensibilidade e Especificidade , Adulto Jovem
3.
Zhongguo Yi Liao Qi Xie Za Zhi ; 37(5): 322-6, 2013 Sep.
Artigo em Chinês | MEDLINE | ID: mdl-24409785

RESUMO

Developing an acoustic radiation force excitation module including 64 channels based in FPGA for ultrasound elastography. The circuit of the module was derived in bipolar, and the parameters such as excitation frequency, pulse repetition frequency, pulse number, element number and focus depth were adjustable. The acoustic field for special parameter was experimented with OptiSon laser acoustic field system with a result which reflects the width of focal spot is about 3 mm. The acoustic power was experimented with RFB2000 radiation force balance with a result which reflects acoustic power is increasing linearly with the number of pulses and the number of elements, and is increasing squarely with the peak-to-peak value of excitation voltage. The module is promising in factual application which can be triggered externally in synchronously, and can be combined with B-mode ultrasound system for ultrasound elastography.


Assuntos
Técnicas de Imagem por Elasticidade , Ultrassom , Acústica
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