IEEE transactions on bio-medical engineering
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IEEE Trans Biomed Eng · Sep 2007
Redefining performance evaluation tools for real-time QRS complex classification systems.
In a heartbeat classification procedure, the detection of QRS complex waveforms is necessary. In many studies, this heartbeat extraction function is not considered: the inputs of the classifier are assumed to be correctly identified. ⋯ This study shows that a classification accuracy of 96.72% falls to 94.90% when a drop of 1.78% error rate is introduced in the detector quality. This corresponds to an increase of about 50% bad classifications.
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IEEE Trans Biomed Eng · Aug 2007
Predictions of psychophysical measurements for sinusoidal amplitude modulated (SAM) pulse-train stimuli from a stochastic model.
Two approaches have been proposed to reduce the synchrony of the neural response to electrical stimuli in cochlear implants. One approach involves adding noise to the pulse-train stimulus, and the other is based on using a high-rate pulse-train carrier. Hypotheses regarding the efficacy of the two approaches can be tested using computational models of neural responsiveness prior to time-intensive psychophysical studies. ⋯ Changes in dynamic range (DR) and intensity discrimination are compared with that observed for noise-modulated pulse-train stimuli. Modulation frequency discrimination is also studied as a function of stimulus level and pulse rate. Results suggest that high rate carriers may positively impact such psychophysical measures.
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IEEE Trans Biomed Eng · Aug 2007
Estimation of the hemodynamic response of fMRI Data using RBF neural network.
Functional magnetic resonance imaging (fMRI) is an important technique for neuroimaging. The conventional system identification methods used in fMRI data analysis assume a linear time-invariant system with the impulse response described by the hemodynamic responses (HDR). However, the measured blood oxygenation level-dependent (BOLD) signals to a particular processing task (for example, rapid event-related fMRI design) show nonlinear properties and vary with different brain regions and subjects. ⋯ The equivalence of the proposed method to the existing Volterra series method has been demonstrated. It is shown that the first- and second-order Volterra kernels could be deduced from the parameters of the RBF neural network. Studies on both simulated (using Balloon model) as well as real event-related fMRI data show that the proposed method can accurately estimate the HDR of the brain and capture the variations of the HDRs as a function of the brain regions and subjects.
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IEEE Trans Biomed Eng · Jul 2007
Finite-difference modeling of the anisotropic electric fields generated by stimulating needles used for catheter placement.
The use of peripheral nerve blocks to control pain is an increasing practice. Many techniques include the use of stimulating needles to locate the nerve of interest. Though success rates are generally high, difficulties still exist. ⋯ A smaller needle first locates a nerve bundle, and then is withdrawn in favor of a second, larger needle used for injection. The distinct geometries of these needles are shown to generate different electric field distributions, and these differences may be responsible for failures of the second needle to elicit nerve stimulation when placed in the same location as the first. A 3-D finite-difference method has been employed to numerically calculate the electric field distributions for a commercial set of stimulating needles.
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IEEE Trans Biomed Eng · Jul 2007
Low-power transceiver analog front-end circuits for bidirectional high data rate wireless telemetry in medical endoscopy applications.
State-of-the-art endoscopy systems require electronics allowing for real-time, bidirectional data transfer. Proposed are 2.4-GHz low-power transceiver analog front-end circuits for bidirectional high data rate wireless telemetry in medical endoscopy applications. The prototype integrates a low-IF receiver analog front-end [low noise amplifier (LNA), double balanced down-converter, bandpass-filtered automatic gain controlled (AGC) loop and amplitude-shift keying (ASK) demodulator], and a direct up-conversion transmitter analog front-end [20-MHz IF phase-locked loop (PLL) with well-defined amplitude control circuit, ASK modulator, up-converter, and power amplifier] on a single chip together with an internal radio frequency oscillator and local oscillating (LO) buffers. ⋯ The measured sensitivity of the receiver analog front-end is -70 dBm with a data rate of 256 kbps, and the measured output power of the transmitter analog front-end could achieve -23 dBm with a data rate of 1 Mbps. The integrated circuit consumes a current of 6 mA in receiver mode and 5.6 mA in transmitter mode with a power supply of 2.5 V. This paper shows the feasibility of achieving the analog performance required by the wireless endoscopy capsule system in 0.25 microm CMOS.