Amplitude shift keying (ASK) data demodulation method has been widely used for simultaneous wireless data and power transfer in implantable medical devices (IMDs). Small amplitude modulation depth (MD) is usually preferred as it helps promote energy harvesting efficiency. This paper presents an ASK data demodulator that has good immunity to disturbances and can demodulate ultra-low MD ASK signal. A three-stage amplifying structure (3SAS) is proposed, in which the common-mode level of each amplifier is set between the high and low levels of its input signal envelope to prevent amplifier gain saturation and maximize the amplification of the envelope difference. Two envelope detectors (EDs) are used before and after the 3SAS respectively. The first one is to obtain a coarse envelope for 3SAS input and the second one is to further suppress the residual carrier interference and get a fine envelope. The proposed demodulator is implemented in 0.18-μm high-voltage Bipolar-CMOS-DMOS (BCD) technology. The detectable MD is measured as low as 0.034%, showing that the proposed demodulator can work smoothly and robustly in some extreme cases of simultaneous data and power transferring.Clinical Relevance- The ASK data demodulator proposed in this paper supports ultra-low modulation depth. This reduces the bit error rate of the data link and keeps a highly power conversion efficiency for wireless power and data transfer in implantable medical devices.
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http://dx.doi.org/10.1109/EMBC46164.2021.9630884 | DOI Listing |
Annu Int Conf IEEE Eng Med Biol Soc
July 2024
This paper presents a deep learning model that can classify COVID-19 patients through cough sounds. The cough sound data were selected from the Cambridge data set which is a crowedsourced data set collected from the Cambridge COVID-19 sounds application. Virufy and Coswara data sets were also selected for external testing.
View Article and Find Full Text PDFMagn Reson Med
March 2025
Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway.
Purpose: Multi-echo gradient-echo (ME-GRE) imaging in the spinal cord is susceptible to breathing-induced B field fluctuations due to the proximity of the lungs, leading to ghosting artifacts. A navigator readout can be used to monitor the fluctuations; however, standard navigator processing often fails in the spinal cord. Here, we introduce navigator processing tailored specifically for spinal cord imaging.
View Article and Find Full Text PDFSensors (Basel)
February 2025
School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen 518000, China.
Space-based gravitational wave detection uses an equilateral triangular satellite constellation with inter-satellite laser heterodyne interferometry to measure displacement variations caused by gravitational waves. Inter-satellite laser communication is critical for data transmission, redundancy and clock synchronization, which suppresses clock noise and enhances detection sensitivity. This integrated approach ensures precise gravitational wave information extraction, supporting the high-accuracy requirements of space-based observatories.
View Article and Find Full Text PDFA parallel Hilbert transform arctangent phase demodulation (PHT-ATAN) method based on overlapping computation is proposed for phase demodulation of laser heterodyne Doppler vibrometers. The method suppresses the end point effects by utilizing overlapping computation and data concatenation and accelerates phase demodulation through parallel processing. Simulation and experimental results demonstrate that when the algorithm's parallelism is ≥4, the computation speed of this method increases by over 100% compared to traditional methods, while maintaining the signal-to-noise ratio and accuracy of the phase demodulation results.
View Article and Find Full Text PDFAnal Chem
January 2025
International Joint Laboratory for Integrated Circuits Design and Application, Ministry of Education, School of Physics, Zhengzhou University, Zhengzhou 450001, China.
The photoacoustic spectroscopy (PAS) system commonly enhances the efficiency of optical-acoustic-electrical energy conversion by increasing the laser power, optimizing the resonance characteristics of the photoacoustic cell (PAC), and improving the sensitivity of acoustic sensors. However, conventional systems using a single-microphone or a dual-microphone differential setup for point sampling of the photoacoustic signal fail to account for its spatial distribution, leading to a loss of spatial gain. Drawing on microphone array theory derived from sonar technology, this study, for the first time, presents a PAS sensing system based on a four-microphone array, which is applied to detect chloroform gas.
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