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IEEE Transactions on Biomedical Circuits and Systems

Matthieu Sylvain, Francis Lehoux, Steeve Morency, Felix Faucher, Eric Bharucha, Denise M Tremblay, Frederic Raymond, Denis Sarrazin, Michel Allard, Sylvain Moineau, Jacques Corbeil, Younes Messaddeq, Benoit Gosselin
This paper presents the EcoChip, a new system based on state-of-the-art electro-chemical impedance (EIS) technologies allowing the growth of single strain organisms isolated from northern habitats. This portable system is a complete and autonomous wireless platform designed to monitor and cultivate microorganisms directly sampled from their natural environment, particularly from harsh northern environments. Using 96-well plates, the EcoChip can be used in the field for real-time monitoring of bacterial growth...
October 31, 2018: IEEE Transactions on Biomedical Circuits and Systems
Yu Wu, Dai Jiang, Xiao Liu, Richard Bayford, Andreas Demosthenous
This paper presents a human-machine interface that establishes a link between the user and a hand prosthesis. It successfully uses electrical impedance tomography, a conventional bio-impedance imaging technique, using an array of electrodes contained in a wristband on the user's forearm. Using a high-performance analog front-end application specific integrated circuit (ASIC) the user's forearm inner bio-impedance redistribution is accurately assessed. These bio-signatures are strongly related to hand motions and using artificial neural networks, they can be learned so as to recognize the user's intention in real-time for prosthesis operation...
October 26, 2018: IEEE Transactions on Biomedical Circuits and Systems
Fei Chen, Shuai Wang, Juanjuan Li, Huajun Tan, Wen Jia, Zhihua Wang
Hearing loss is an irreversible damage. Patients with hearing loss usually use hearing aids or cochlear implants for hearing compensation. Hearing test is used to detect hearing-loss degree in different frequency bands for both ears or for the single ear with hearing loss. The conventional hearing test method requires an audiologist to conduct the test process, which causes a burden for the patient in respect of cost and time. This paper describes a new smartphone-based audiometry method for the hearing self-assessment using hearing aids as the audio sources, a smartphone as the user-interface and controller...
October 26, 2018: IEEE Transactions on Biomedical Circuits and Systems
Abdulrahman S M Alqadami, Konstanty S Bialkowski, Ahmed Toaha Mobashsher, Amin M Abbosh
Given the increased interest in a fast, portable, and on-spot medical diagnostic tool that enables early diagnosis for patients with brain stroke, a new approach of wearable electromagnetic (EM) head imaging system based on polymer material is proposed. A flexible low profile, wideband, and unidirectional antenna array with electromagnetic band gap (EBG) and metamaterial unit cells reflector is utilized. The designed antenna consists of a 4×4 radiating patch loaded with symmetrical extended open-ended U-slots and fed by combination of series and corporate transmission lines...
October 25, 2018: IEEE Transactions on Biomedical Circuits and Systems
Jinseok Lee, Do-Hun Jang, Sujin Park, Seonghwan Cho
In this paper, we present an ultra-low power heart rate (HR) monitoring photoplethysmography (PPG) sensor using a heartbeat locked loop (HBLL). The HBLL generates a narrow window that turns on the LED and analog-front-end only when a peak is expected in the PPG signal. The prototype PPG sensor implemented in 0.18μm CMOS has an effective duty-cycle of 0.01% and consumes only 43.4μW at a heart rate of 60bpm, which is the lowest power consumption compared with previous state-of-the-art PPG sensors. The HR error of the proposed sensor is less than 2...
October 18, 2018: IEEE Transactions on Biomedical Circuits and Systems
Xavier Berthelon, Guillaume Chenegros, Thomas Finateu, Siohoi Ieng, Ryad Benosman
Johnson-Nyquist noise is the electronic noise gen- erated by the thermal agitation of the charge carriers which increases when the sensor overheats. Current high speed cameras used in low light conditions are often cooled down to reduce thermal noise and increase their signal to noise ratio. These sensors however record hundreds of frames per second, which takes time, requires energy and heavy computing power due to the massive data load. Event-based sensors benefit from a high temporal resolution and record the information in a sparse manner...
October 17, 2018: IEEE Transactions on Biomedical Circuits and Systems
Olivier Valentin, Mikael Ducharme, Gabrielle Cretot-Richert, Hami Monsarrat-Chanon, Guilhem Viallet, Aidin Delnavaz, Jeremie Voix
This paper presents the experimental validation of a readout circuit for the acquisition, amplification and transmission of extremely weak biopotentials with a focus on electroencephalography (EEG) signals. The device, dubbed CochlEEG, benefits from a low-power design for long-term power autonomy and provides configurable gain and sampling rates to suit the needs of various EEG applications. CochlEEG features high sampling rates, up to 4 kHz, low noise signal acquisitions, support for active electrodes and a potential for Wi Fi data transmission...
October 15, 2018: IEEE Transactions on Biomedical Circuits and Systems
Manob Jyoti Saikia, Walt Besio, Kunal Mankodiya
Functional Near-Infrared Spectroscopy (fNIRS) has emerged as an effective brain monitoring technique to measure the hemodynamic response of the cortical surface. Its wide popularity and adoption in recent time attribute to its portability, ease of use, and flexibility in multi-modal studies involving electroencephalography (EEG). While fNIRS is still emerging on various fronts including hardware, software, algorithm, and applications, it still requires overcoming several scientific challenges associated with brain monitoring in naturalistic environments where the human participants are allowed to move and required to perform various tasks stimulating brain behaviors...
October 15, 2018: IEEE Transactions on Biomedical Circuits and Systems
Sunwoo Lee, Alejandro Cortese, Aasta Gandhi, Elizabeth Agger, Paul L McEuen, Alyosha C Molnar
Recording neural activity in live animals in vivo with minimal tissue damage is one of the major barriers to understanding the nervous system. This paper presents the technology for a tetherless opto-electronic neural interface based on 180 nm CMOS circuits, heterogeneously integrated with an AlGaAs diode that functions as both a photo voltaic and light emitting diode. These microscale opto-electrically transduced electrodes (MOTEs) are powered by, and communicate through an optical interface, simultaneously enabling high temporal-resolution electrical measurements without a tether or a bulky RF coil...
October 15, 2018: IEEE Transactions on Biomedical Circuits and Systems
Yun Kyoung Ko, Chang-Hoon Choi, Jon Shah, Jorg Felder
With the increased commercial availability of high channel count MR coil arrays and the associated higher number of plugs in the patient bed, it has become common practice to include switch matrices in the receive path of MR systems. These allow the arbitrary routing of a signal from any plug to any receiver in the console. While switch matrices are standard in systems at clinical field strength and have been developed for systems operating up to 4T, they have not yet been implemented at ultra-high field (UHF)...
September 20, 2018: IEEE Transactions on Biomedical Circuits and Systems
Jui-Hung Hsieh, Meng-Ju Shih, Xin-Hao Huang
A real-time cost and power-efficient (CPE) set partitioning in hierarchical trees (SPIHT) decoder design with low hardware complexity and low-power dissipation is introduced in one-dimension (1-D) wavelet-based quality-assured electrocardiograph (ECG) compression systems for mobile health (mHealth) applications. However, current SPIHT coding architectures are designed for image/video processing. These architectures require a large amount of memory as well as complicated sorting algorithms, which both require time-consuming tasks and are unsuitable for mobile ECG applications...
September 19, 2018: IEEE Transactions on Biomedical Circuits and Systems
Mohammad Amin Imani, Arash Ahmadi, Mazdak RadMalekshahi, Saeed Haghiri
The human brain is composed of 1011 neurons with a switching speed of about 1 ms. Studying spiking neural networks, including modeling, simulation and implementation of biological neuron models help to learn about the brain and related diseases or to design more efficient bio-mimic processors and smarter robots. Such applications have made this part of neuromorphic researches very popular. In this paper, Wilson neuron model has been implemented as an approximation of Hodgkin-Huxley biological model that is adjusted for efficient digital realization on the platforms...
September 10, 2018: IEEE Transactions on Biomedical Circuits and Systems
Jan Muller, Jens Muller, Fang Chen, Ronald Tetzlaff
An intraoperative imaging system facilitating the localisation and characterisation of functional areas, pathological tissue, or perfusion disorders, could enormously support medical decisions during neurosurgical interventions and, thus, reduce the risk for the patients. To provide both structural and functional information of the brain tissue to the surgeon, a novel multimodal approach based on the measurement of long-wave infrared radiation and visual-light imaging is very promising. In this contribution, we discuss various methods for the registration and fusion of thermographic and visual-light images...
September 5, 2018: IEEE Transactions on Biomedical Circuits and Systems
Saeed Haghiri, Abdolhamid Zahedi, Ali Naderi, Arash Ahmadi
Fast speed and high accuracy implementation of biological plausible neural networks are vital key objectives to achieve new solutions to model, simulate and cure the brain diseases. Efficient hardware implementation of Spiking Neural Networks (SNN) is a significant approach in biological neural networks. This paper presents a Multiplierless Noisy Izhikevich Neuron (MNIN) model, which is used for digital implementation of biological neural networks in large scale. Simulation results show that the MNIN model reproduces the same operations of the original noisy Izhikevich neuron...
September 4, 2018: IEEE Transactions on Biomedical Circuits and Systems
Suman Deb, Tarun Vatwani, Anupam Chattopadhyay, Arindam Basu, Xuanyao Fong
Recently, a great deal of scientific endeavour has been devoted to developing spin-based neuromorphic platforms owing to the ultra-low-power benefits offered by spin devices and the inherent correspondence between spintronic phenomena and the desired neuronal, synaptic behavior. Whereas domain wall motion-based threshold activation unit has previously been demonstrated for neuromorphic circuits, it remains well-known that neurons with threshold activation cannot completely learn non-linearly separable functions...
August 27, 2018: IEEE Transactions on Biomedical Circuits and Systems
Mingzhu Long, Zhuo Li, Xiang Xie, Guolin Li, Zhihua Wang
Good image quality of the wireless capsule endoscopy (WCE) is the key for doctors to diagnose gastrointestinal (GI) tract diseases. However, the poor illumination, limited performance of the camera in WCE, and complex environment in the GI tract usually result in low-quality endoscopic images. Existing image enhancement methods only use the information of the image itself or multiple images of the same scene to accomplish the enhancement. In this paper, we propose an adaptive image enhancement method based on guide image and fraction-power transformation...
October 2018: IEEE Transactions on Biomedical Circuits and Systems
Ting Chia Chang, Marcus J Weber, Jayant Charthad, Spyridon Baltsavias, Amin Arbabian
We present an analytical framework for optimizing the efficiency of ultrasonic wireless power links for implantable devices scaled down to sub-mm dimensions. Key design insights and tradeoffs are considered for various parameters including the operating frequency, the transmission depth, the size of the transmitter, the impedance and the aperture efficiency of the miniaturized receiver, and the interface between the receiver and the power recovery chain on the implant. The performance of spherically focused transducers as ultrasonic transmitters is analyzed to study the limits and the tradeoffs...
October 2018: IEEE Transactions on Biomedical Circuits and Systems
David Tsai, Rafael Yuste, Kenneth L Shepard
Presents corrections to the paper, "Statistically reconstructed multiplexing for very dense, high-channel-count acquisition systems," (Tsai, D., et al), IEEE Trans. Biomed. Circuits Syst., vol. 8, no. 1, pp. 13-23, Feb. 2018.
October 2018: IEEE Transactions on Biomedical Circuits and Systems
Jun Yeon Won, Jae Sung Lee
We propose a new highly integrated FPGA-only signal digitization method for individual signal digitization of time-of-flight positron emission tomography (TOF PET). We configured I/O port of the FPGA with a single-ended memory interface (SeMI) input receiver. The SeMI is a single-ended voltage-referenced interface that has a common reference voltage per I/O Bank, such that each SeMI input receiver can serve as a voltage comparator. The FPGA-only digitizer that uses the single-ended input receivers does not require a separate digitizing integrated chip, and can obtain twice as many signals as that using LVDS input receivers...
August 15, 2018: IEEE Transactions on Biomedical Circuits and Systems
Sri Harsha Kondapalli, Yarub Alazzawi, Marcin Malinowski, Tomasz Timek, Shantanu Chakrabartty
In this paper we investigate the feasibility of harvesting energy from cardiac valvular perturbations to self-power a wireless sonomicrometry sensor. Compared to the previous studies involving piezoelectric patches or encasings attached to the cardiac or aortic surface, the proposed study explores the use of piezoelectric sutures that can be implanted in proximity to the valvular regions, where non-linear valvular perturbations could be exploited for self-powering. Using an ovine animal model, the magnitude of valvular perturbations are first measured using an array of sonomicrometry crystals implanted around the tricuspid valve...
August 14, 2018: IEEE Transactions on Biomedical Circuits and Systems
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