Read by QxMD icon Read

IEEE Transactions on Biomedical Circuits and Systems

Runchun Wang, Chetan Singh Thakur, Gregory Cohen, Tara Julia Hamilton, Jonathan Tapson, Andre van Schaik
We present a hardware architecture that uses the neural engineering framework (NEF) to implement large-scale neural networks on field programmable gate arrays (FPGAs) for performing massively parallel real-time pattern recognition. NEF is a framework that is capable of synthesising large-scale cognitive systems from subnetworks and we have previously presented an FPGA implementation of the NEF that successfully performs nonlinear mathematical computations. That work was developed based on a compact digital neural core, which consists of 64 neurons that are instantiated by a single physical neuron using a time-multiplexing approach...
April 24, 2017: IEEE Transactions on Biomedical Circuits and Systems
Weeseong Seo, Wuyang Yu, Tianlin Tan, Babak Ziaie, Byunghoo Jung
Urinary tract infection (UTI) is one of the most common infections in humans. UTI is easily treatable using antibiotics if identified in early stage. However, without early identification and treatment, UTI can be a major source of serious complications in geriatric patients, in particular, those suffering from neurodegenerative diseases. Also, for infants who have difficulty in describing their symptoms, UTI may lead to serious development of the disease making early identification of UTI crucial. In this paper, we present a diaper-embedded, wireless, self-powered, and autonomous UTI monitoring sensor module that allows an early detection of UTI with minimal effort...
April 14, 2017: IEEE Transactions on Biomedical Circuits and Systems
Carolina Mora Lopez, Jan Putzeys, Bogdan Cristian Raducanu, Marco Ballini, Shiwei Wang, Alexandru Andrei, Veronique Rochus, Roeland Vandebriel, Simone Severi, Chris Van Hoof, Silke Musa, Nick Van Helleputte, Refet Firat Yazicioglu, Srinjoy Mitra
In vivo recording of neural action-potential and local-field-potential signals requires the use of high-resolution penetrating probes. Several international initiatives to better understand the brain are driving technology efforts towards maximizing the number of recording sites while minimizing the neural probe dimensions. We designed and fabricated (0.13- μm SOI Al CMOS) a 384-channel configurable neural probe for large-scale in vivo recording of neural signals. Up to 966 selectable active electrodes were integrated along an implantable shank (70 μm wide, 10 mm long, 20  μm thick), achieving a crosstalk of [Formula: see text] dB...
April 14, 2017: IEEE Transactions on Biomedical Circuits and Systems
Hamid Soleimani, Emmanuel M Drakakis
Recent studies have demonstrated that calcium is a widespread intracellular ion that controls a wide range of temporal dynamics in the mammalian body. The simulation and validation of such studies using experimental data would benefit from a fast large scale simulation and modelling tool. This paper presents a compact and fully reconfigurable cellular calcium model capable of mimicking Hopf bifurcation phenomenon and various nonlinear responses of the biological calcium dynamics. The proposed cellular model is synthesized on a digital platform for a single unit and a network model...
April 6, 2017: IEEE Transactions on Biomedical Circuits and Systems
Yu-Chieh Huang, Po-Tsang Huang, Shang-Lin Wu, Yu-Chen Hu, Yan-Huei You, Jr-Ming Chen, Yan-Yu Huang, Hsiao-Chun Chang, Yen-Han Lin, Jeng-Ren Duann, Tzai-Wen Chiu, Wei Hwang, Kuan-Neng Chen, Ching-Te Chuang, Jin-Chern Chiou
Highly integrated neural sensing microsystems are crucial to capture accurate signals for brain function investigations. In this paper, a 256-channel neural sensing microsystem with a sensing area of 5 × 5 mm2 is presented based on 2.5-D through-silicon-via (TSV) integration. This microsystem composes of dissolvable μ-needles, TSV-embedded μ-probes, 256-channel neural amplifiers, 11-bit area-power-efficient successive approximation register analog-to-digital converters, and serializers. This microsystem can detect 256 electrocorticography and local field potential signals within a small area of 5 mm × 5 mm...
March 30, 2017: IEEE Transactions on Biomedical Circuits and Systems
Hyunwoo Son, Hwasuk Cho, Jahyun Koo, Youngwoo Ji, Byungsub Kim, Hong-June Park, Jae-Yoon Sim
This paper presents an amplifier-less and digital-intensive current-to-digital converter for ion-sensitive FET sensors. Capacitance on the input node is utilized as a residue accumulator, and a clocked comparator is followed for quantization. Without any continuous-time feedback circuit, the converter performs a first-order noise shaping of the quantization error. In order to minimize static power consumption, the proposed circuit employs a single-ended current-steering digital-to-analog converter which flows only the same current as the input...
March 30, 2017: IEEE Transactions on Biomedical Circuits and Systems
Shaojie Su, Yixin Zhou, Zhihua Wang, Hong Chen
The average age of population increases worldwide, so does the number of total hip replacement surgeries. Total hip replacement, however, often involves a risk of dislocation and prosthetic impingement. To minimize the risk after surgery, we propose an instrumented hip prosthesis that estimates the relative pose between prostheses intraoperatively and ensures the placement of prostheses within a safe zone. We create a model of the hip prosthesis as a ball and socket joint, which has four degrees of freedom (DOFs), including 3-DOF rotation and 1-DOF translation...
March 30, 2017: IEEE Transactions on Biomedical Circuits and Systems
Marco Mercuri, Yao-Hong Liu, Ilde Lorato, Tom Torfs, Andre Bourdoux, Chris Van Hoof
A Doppler radar operating as a Phase-Locked-Loop (PLL) in frequency demodulator configuration is presented and discussed. The proposed radar presents a unique architecture, using a single channel mixer, and allows to detect contactless vital signs parameters while solving the null point issue and without requiring the small angle approximation condition. Spectral analysis, simulations, and experimental results are presented and detailed to demonstrate the feasibility and the operational principle of the proposed radar architecture...
March 29, 2017: IEEE Transactions on Biomedical Circuits and Systems
Zipeng Li, Kelvin Yi-Tse Lai, Po-Hsien Yu, Krishnendu Chakrabarty, Tsung-Yi Ho, Chen-Yi Lee
A digital microfluidic biochip (DMFB) is an attractive technology platform for automating laboratory procedures in biochemistry. In recent years, DMFBs based on a microelectrode-dot-array (MEDA) architecture have been demonstrated. However, due to the inherent differences between today's DMFBs and MEDA, existing synthesis solutions for biochemistry mapping cannot be utilized for MEDA biochips. We present the first synthesis approach that can be used for MEDA biochips. We first present a general analytical model for droplet velocity and validate it experimentally using a fabricated MEDA biochip...
March 21, 2017: IEEE Transactions on Biomedical Circuits and Systems
Omid Farhanieh, Ali Sahafi, Rupak Bardhan Roy, Arif Sanli Ergun, Ayhan Bozkurt
Conventional High Intensity Focused Ultrasound (HIFU) is a therapeutic modality which is extracorporeally administered. In applications where a relatively small HIFU lesion is required, an intravascular HIFU probe can be deployed to the ablation site. In this paper, we demonstrate the design and implementation a fully integrated HIFU drive system on a chip to be placed on a 6 Fr catheter probe. An 8-element capacitive micromachined ultrasound transducer (CMUT) ring array of 2 mm diameter has been used as the ultrasound source...
March 20, 2017: IEEE Transactions on Biomedical Circuits and Systems
Kok-Hin Teng, Tong Wu, Xiayun Liu, Zhi Yang, Chun-Huat Heng
An 8-channel wireless neural signal processing IC, which can perform real-time spike detection, alignment, and feature extraction, and wireless data transmission is proposed. A reconfigurable BFSK/QPSK transmitter (TX) at MICS/MedRadio band is incorporated to support different data rate requirement. By using an Exponential Component-Polynomial Component (EC-PC) spike processing unit with an incremental principal component analysis (IPCA) engine, the detection of neural spikes with poor SNR is possible while achieving 625× data reduction...
March 3, 2017: IEEE Transactions on Biomedical Circuits and Systems
Pengpeng Chen, Huazhong Yang, Rong Luo, Bo Zhao
It is promising for wearable devices to go to a miniature size to alleviate the load of human body. One way to miniaturize the communication nodes on human body is to remove the bulky components such as antenna and crystal. Galvanically-coupled body channel communication (GC-BCC) has a great advantage over conventional wireless communications in reducing the size of wearable devices because it reuses the monitoring electrodes for signal transmission in place of antennas. To remove the crystal as well, the receiver must be immune to different types of frequency misalignments...
March 2, 2017: IEEE Transactions on Biomedical Circuits and Systems
Alex Pappachen James, Irina Fedorova, Timur Ibrayev, Dhireesha Kudithipudi
Hierarchical Temporal Memory (HTM) is an online machine learning algorithm that emulates the neo-cortex. The development of a scalable on-chip HTM architecture is an open research area. The two core substructures of HTM are spatial pooler and temporal memory. In this work, we propose a new Spatial Pooler circuit design with parallel memristive crossbar arrays for the 2D columns. The proposed design was validated on two different benchmark datasets, face recognition, and speech recognition. The circuits are simulated and analyzed using a practical memristor device model and 0...
March 1, 2017: IEEE Transactions on Biomedical Circuits and Systems
T Marisa, T Niederhauser, A Haeberlin, R A Wildhaber, R Vogel, J Goette, M Jacomet
A new pseudo asynchronous level crossing analogue-to-digital converter (adc) architecture targeted for low-power, implantable, long-term biomedical sensing applications is presented. In contrast to most of the existing asynchronous level crossing adc designs, the proposed design has no digital-to-analogue converter (dac) and no continuous time comparators. Instead, the proposed architecture uses an analogue memory cell and dynamic comparators. The architecture retains the signal activity dependent sampling operation by generating events only when the input signal is changing...
February 7, 2017: IEEE Transactions on Biomedical Circuits and Systems
Xiao-Qi Zhu, Yong-Xin Guo, Wen Wu
This paper presents a systematic investigation of the capacitive human body communication (HBC). The measurement of HBC channels is performed using a novel battery-powered system to eliminate the effects of baluns, cables and instruments. To verify the measured results, a numerical model incorporating the entire HBC system is established. Besides, it is demonstrated that both the impedance and path gain bandwidths of HBC channels is affected by the electrode configuration. Based on the analysis of the simulated electric field distribution, an equivalent circuit model is proposed and the circuit parameters are extracted using the finite element method...
April 2017: IEEE Transactions on Biomedical Circuits and Systems
Haakon Karlsen, Tao Dong
An ambulatory pre-screening Point-of-Care (POC) device compatible with commercially available diapers has been developed to rapidly screen urine samples for incontinent or functionally impaired elderly. This POC device consists of a set of colorimetric reaction pads with accompanying reference colors. A smartphone with camera is a convenient tool for analysis of colorimetric assays; and a software application has been developed for smartphones to photograph the colorimetric assay and classify colorimetric reactions according to the reference colors...
April 2017: IEEE Transactions on Biomedical Circuits and Systems
Ahmed Soltan, Brian McGovern, Emmanuel Drakakis, Mark Neil, Pleun Maaskant, Mahbub Akhter, Jun Su Lee, Patrick Degenaar
Optical neuron stimulation arrays are important for both in-vitro biology and retinal prosthetic biomedical applications. Hence, in this work, we present an 8100 pixel high radiance photonic stimulator. The chip module vertically combines custom made gallium nitride μ LEDs with a CMOS application specific integrated circuit. This is designed with active pixels to ensure random access and to allow continuous illumination of all required pixels. The μLEDs have been assembled on the chip using a solder ball flip-chip bonding technique which has allowed for reliable and repeatable manufacture...
April 2017: IEEE Transactions on Biomedical Circuits and Systems
Hugo Cruz, Hong-Yi Huang, Ching-Hsing Luo, Shuenn-Yuh Lee
This paper presents a 10-channel time-of-flight application-specific integrated circuit (ASIC) for positron emission tomography in a 90 nm standard CMOS process. To overcome variations in channel-to-channel timing resolution caused by mismatch and process variations, adaptive biases and a digital-to-analog converter (DAC) are utilized. The main contributions of this work are as follows. First, multistage architectures reduce the total power consumption, and detection bandwidths of analog preamplifiers and comparators are increased to 1 and 1...
April 2017: IEEE Transactions on Biomedical Circuits and Systems
Adriana N Vest, Li Zhou, Xuechen Huang, Viktoria Norekyan, Yaniv Bar-Cohen, Ramen H Chmait, Gerald Eli Loeb
We have developed a rechargeable fetal micropacemaker in order to treat severe fetal bradycardia with comorbid hydrops fetalis. The necessarily small form factor of the device, small patient population, and fetal anatomy put unique constraints on the design of the recharging system. To overcome these constraints, a custom high power field generator was built and the recharging process was controlled by utilizing pacing rate as a measure of battery state, a feature of the relaxation oscillator used to generate stimuli...
April 2017: IEEE Transactions on Biomedical Circuits and Systems
Manuel Delgado-Restituto, Alberto Rodriguez-Perez, Angela Darie, Cristina Soto-Sanchez, Eduardo Fernandez-Jover, Angel Rodriguez-Vazquez
This paper reports an integrated 64-channel neural spike recording sensor, together with all the circuitry to process and configure the channels, process the neural data, transmit via a wireless link the information and receive the required instructions. Neural signals are acquired, filtered, digitized and compressed in the channels. Additionally, each channel implements an auto-calibration algorithm which individually configures the transfer characteristics of the recording site. The system has two transmission modes; in one case the information captured by the channels is sent as uncompressed raw data; in the other, feature vectors extracted from the detected neural spikes are released...
April 2017: IEEE Transactions on Biomedical Circuits and Systems
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"