Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
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Sheng Wu Yi Xue Gong Cheng Xue Za Zhi · Aug 2005
[Research and application of microcontroller system for target controlled infusion].
This paper presents a microcontroller system for target controlled infusion according to pharmacodynamic parameters of intravenous anesthetics. It can control the depth of anesthesia by adjusting the level of plasma concentrations. The system has the advantages of high precision, extending power and easy manipulation. It has been used in the clinical anesthesia.
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Sheng Wu Yi Xue Gong Cheng Xue Za Zhi · Aug 2005
[Application of independent component analysis to ECG cancellation in surface electromyography measurement].
Surface electromyogram usually incurs severe influence of strong electrocardiography (ECG) signal. This paper presents a novel denoise method using independent component analysis (ICA) to remove the interference of ECG from sEMG recordings. ⋯ The filtering ICA ECG cancellation results were compared with the simulated pure sEMG in time and frequency domain, which suggested that the ICA ECG cancellation with 30Hz high-pass filter would be the most appropriate method to extract the useful sEMG signals from multi-channel sEMG measurement. The kurtosis is used to measure the nongaussianity of signal; it may beused as a standand for automatic determination of the independents of ECG or EMG.
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Sheng Wu Yi Xue Gong Cheng Xue Za Zhi · Aug 2005
[Data reconstruction algorithm on echo-planar magnetic resonance spectroscopic imaging].
When a conventional phase-encoding magnetic resonance spectrascopic imaging(MRSI) method is in use, the data acquisition is very time consuming and thus it is not well accepted in clinical settings. Echo planar spectroscopic imaging (EPSI) technology has been applied for rapid acquisition of MRSI data. It significantly reduces scan time by simultaneously encoding the spectral dimension and the spatial dimension. ⋯ Fast Fourier transform (FFT) is applied in odd echoes and even echoes respectively and then shift method is used to combine them together. For the kx dimension, the data are unevenly sampled and have to be interpolated onto a Cartesian grid before FFT is applied. For the phase-encoding dimension (ky), the Fourier transform can be readily done with FFT since the data are evenly spaced.
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Sheng Wu Yi Xue Gong Cheng Xue Za Zhi · Aug 2005
[Experimental study of excitation of peripheral nerves in transverse electric field stimulation].
The classical cable function has been used to represent the response of peripheral nerves stimulated by external parallel electric field. Experiments show that peripheral nerves can be activated by perpendicular electric field induced by magnetic pulses, indicating that the activation mechanism needs to be thoroughly investigated. Several excitation properties of peripheral nerves in transverse-field were explored in the present paper. ⋯ The relation between stimulation threshold and stimulation duration was researched with sciatic nerves from toad in vitro. The experimental results verify that the modified cable function is much efficient than the classical cable function. The research will improve the nerve magnetic stimulating technique and be beneficial to further application.
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Sheng Wu Yi Xue Gong Cheng Xue Za Zhi · Aug 2005
[Pulse pressure and mean pressure relationship of intracranial pressure and lumbar cerebrospinal fluid pressure].
Intracranial pressure fluctuates due to heart beat, respiration, neuro-regulation, etc. Traditional intracranial pressure study focuses on the static pressure and related factors, putting emphasis on mean intracranial pressure, while paying little attention to the pulse components. This study was composed of two parts: animal experiment and theoretical analysis. ⋯ The same result was obtained in the lumbar cerebrospinal fluid pressure. Therefore, the lumbar cerebrospinal fluid pressure is consistent with the intracranial pressure. Intracranial pulse pressure is in linear relationship with mean pressure, and the slope of their linear relationship predicts the perform of intracranial autoregulation.