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In this paper, an effective approach for QRS detection is presented for wearable ECG devices in wireless Body Sensor Networks (wBSN). Significant reduction of high and low frequency noises are obtained under the action of continuous wavelet transform to original ECG signal after the careful selection of scale level. The following Hilbert transform to the transformed signal enables easier location...
A non-uniformly spaced digital FIR filter bank has been proposed for QRS detection in wearable biomedical devices in Body Area Network (BAN) applications. The proposed filter bank is constructed based on frequency-response masking technique and employs two half-band filters as prototype filters, which leads to significant savings in terms of arithmetic operations. The introduction of non-uniformly...
This paper presents a fully integrated programmable biomedical sensor interface chip dedicated to the processing of various types of biomedical signals. The chip, optimized for high power efficiency, contains a low noise amplifier, a tunable bandpass filter, a programmable gain stage, and a successive approximation register analog-to-digital converter. A novel balanced tunable pseudo-resistor is proposed...
A moving binary search tree based successive approximation register analog-to-digital converter (SAR-ADC) dedicated for low power biomedical data acquisition system is presented. By performing the conversion based on the previous results, the required ADC conversion cycles is reduced significantly leading to great saving in power consumption. Simulation results based on typical electrocardiograph...
A novel QRS detection algorithm for wearable ECG devices and its FPGA implementation are presented in this paper. The proposed algorithm utilizes the hybrid opening- closing mathematical morphology filtering to suppress the impulsive noise and remove the baseline drift and uses modulus accumulation to enhance the signal. The proposed algorithm achieves an average QRS detection rate of 99.53%, a sensitivity...
Existing wavelet transform methods usually realize the QRS detection by sourcing for two modulus maxima with opposite sign and locating the zero crossing point between them at high decomposition scale. However high scale wavelet transform is often contaminated with severe baseline drift. In addition, common sense indicates that detecting zero crossing is not an easy task compared to the detection...
In this paper we present a low power linear phase digital FIR filter which is a part of an ECG-on-Chip. The ECG-on-Chip can be embedded into clothing to acquire the electrocardiogram (ECG) signal and send a warning message to a mobile phone or PDA if an abnormal ECG is detected. The proposed new filter structure significantly reduces the arithmetic operations for each sample which in turn lowers the...
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