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IEEE Transactions on Biomedical Circuits and Systems

Fa Wang, Xuan Zhang, Mehdi Shokoueinejad, Bermans J Iskandar, Joshua E Medow, John G Webster
We present a wide frequency range, low cost, wireless intracranial pressure monitoring system, which includes an implantable passive sensor and an external reader. The passive sensor consists of two spiral coils and transduces the pressure change to a resonant frequency shift. The external portable reader reads out the sensor's resonant frequency over a wide frequency range (35 MHz-2.7 GHz). We propose a novel circuit topology, which tracks the system's impedance and phase change at a high frequency with low-cost components...
August 14, 2017: IEEE Transactions on Biomedical Circuits and Systems
Jiafeng Yao, Michiko Sugawara, Hiromichi Obara, Takeomi Mizutani, Masahiro Takei
The distinct motion of GFP-tagged histone expressing cells (Histone-GFP type cells) has been investigated under ac electrokinetics in an electrode-multilayered microfluidic device as compared with Wild type cells and GFP type cells in terms of different intracellular components. The Histone-GFP type cells were modified by the transfection of green fluorescent protein-fused histone from the human lung fibroblast cell line. The velocity of the Histone-GFP type cells obtained by particle tracking velocimetry technique is faster than Wild type cells by 24...
August 14, 2017: IEEE Transactions on Biomedical Circuits and Systems
Qianbin Zhao, Sheng Yan, Dan Yuan, Jun Zhang, Haiping Du, Gursel Alici, Weihua Li
In this paper, we proposed a microparticle manipulation approach, by which particles are able to be guided to different equilibrium positions through modulating the Reynolds number. In the microchannel with arc-shaped groove arrays, secondary flow vortex arisen due to the pressure gradient varies in the aspects of both magnitude and shape with the increase of Reynolds number. And the variation of secondary flow vortex brings about different focusing modes of microparticles in the microchannel. We investigated the focusing phenomenon experimentally and analyzed the mechanism through numerical simulations...
August 14, 2017: IEEE Transactions on Biomedical Circuits and Systems
Junming Zhang, Yan Wu
Traditionally, automatic sleep stage classification is quite a challenging task because of the difficulty in translating open-textured standards to mathematical models and the limitations of handcrafted features. In this paper, a new system for automatic sleep stage classification is presented. Compared with existing sleep stage methods, our method can capture the sleep information hidden inside electroencephalography (EEG) signals and automatically extract features from raw data. To translate open sleep stage standards into machine rules recognized by computers, a new model named fast discriminative complex-valued convolutional neural network (FDCCNN) is proposed to extract features from raw EEG data and classify sleep stages...
August 14, 2017: IEEE Transactions on Biomedical Circuits and Systems
Amirreza Yousefzadeh, Miroslaw Jablonski, Taras Iakymchuk, Alejandro Linares-Barranco, Alfredo Rosado, Luis A Plana, Steve Temple, Teresa Serrano-Gotarredona, Steve B Furber, Bernabe Linares-Barranco
Address event representation (AER) is a widely employed asynchronous technique for interchanging "neural spikes" between different hardware elements in neuromorphic systems. Each neuron or cell in a chip or a system is assigned an address (or ID), which is typically communicated through a high-speed digital bus, thus time-multiplexing a high number of neural connections. Conventional AER links use parallel physical wires together with a pair of handshaking signals (request and acknowledge). In this paper, we present a fully serial implementation using bidirectional SATA connectors with a pair of low-voltage differential signaling (LVDS) wires for each direction...
August 14, 2017: IEEE Transactions on Biomedical Circuits and Systems
Tong Wu, Wenfeng Zhao, Hongsun Guo, Hubert H Lim, Zhi Yang
Neural recording system miniaturization and integration with low-power wireless technologies require compressing neural data before transmission. Feature extraction is a procedure to represent data in a low-dimensional space; its integration into a recording chip can be an efficient approach to compress neural data. In this paper, we propose a streaming principal component analysis algorithm and its microchip implementation to compress multichannel local field potential (LFP) and spike data. The circuits have been designed in a 65-nm CMOS technology and occupy a silicon area of 0...
August 14, 2017: IEEE Transactions on Biomedical Circuits and Systems
Ning Liu, Dinh-Tuan Phan, Wen Siang Lew
Sensitivity is an essential consideration for microfluidic paper-based analytical devices (μPADs) when these devices are used for low concentration sample detection. Very recently, ion concentration polarization (ICP)-based μPADs are emerging as novel tools for bio-sample preconcentration. In this study, we develop an enclosed paper-based microfluidic platform as a preconcentrator based on the ICP effect. This paper chip is fabricated by a Parafilm embedding technique and holds many advantages over traditional open-channel μPADs, which usually suffer from sample contamination and evaporation problems...
August 4, 2017: IEEE Transactions on Biomedical Circuits and Systems
Alireza Karimi-Bidhendi, Omid Malekzadeh-Arasteh, Mao-Cheng Lee, Colin M McCrimmon, Po T Wang, Akshay Mahajan, Charles Yu Liu, Zoran Nenadic, An H Do, Payam Heydari
Two brain signal acquisition (BSA) front-ends incorporating two CMOS ultralow power, low-noise amplifier arrays and serializers operating in mosfet weak inversion region are presented. To boost the amplifier's gain for a given current budget, cross-coupled-pair active load topology is used in the first stages of these two amplifiers. These two BSA front-ends are fabricated in 130 and 180 nm CMOS processes, occupying 5.45 mm (2) and 0.352 mm (2) of die areas, respectively (excluding pad rings). The CMOS 130-nm amplifier array is comprised of 64 elements, where each amplifier element consumes 0...
August 1, 2017: IEEE Transactions on Biomedical Circuits and Systems
Bo Zheng, Patrick W Goodwill, Neerav Dixit, Di Xiao, Wencong Zhang, Beliz Gunel, Kuan Lu, Greig C Scott, Steven M Conolly
Inductive sensor-based measurement techniques are useful for a wide range of biomedical applications. However, optimizing the noise performance of these sensors is challenging at broadband frequencies, owing to the frequency-dependent reactance of the sensor. In this work, we describe the fundamental limits of noise performance and bandwidth for these sensors in combination with a low-noise amplifier. We also present three equivalent methods of noise matching to inductive sensors using transformer-like network topologies...
July 20, 2017: IEEE Transactions on Biomedical Circuits and Systems
Hourieh Attarzadeh, Ye Xu, Trond Ytterdal
In this paper, a dual-mode low-power, high dynamic-range receiver circuit is designed for the interface with a capacitive micromachined ultrasonic transducer. The proposed ultrasound receiver chip enables the development of an in-probe digital beamforming imaging system. The flexibility of having two operation modes offers a high dynamic range with minimum power sacrifice. A prototype of the chip containing one receive channel, with one variable transimpedance amplifier (TIA) and one analog to digital converter (ADC) circuit is implemented...
July 18, 2017: IEEE Transactions on Biomedical Circuits and Systems
Zhicong Luo, Ming-Dou Ker, Tzu-Yi Yang, Wan-Hsueh Cheng
A new digitally dynamic power supply technique for 16-channel 12-V-tolerant stimulator is proposed and realized in a 0.18-μm 1.8-V/3.3-V CMOS process. The proposed stimulator uses four stacked transistors as the pull-down switch and pull-up switch to withstand 4 times the nominal supply voltage (4 × V DD). With the dc input voltage of 3.3 V, the regulated three-stage charge pump, which is capable of providing 11.3-V voltage at 3-mA loading current, achieves dc conversion efficiency of up to 69% with 400-pF integrated capacitance...
July 18, 2017: IEEE Transactions on Biomedical Circuits and Systems
Hossein Kassiri, Sana Tonekaboni, M Tariqus Salam, Nima Soltani, Karim Abdelhalim, Jose Luis Perez Velazquez, Roman Genov
First, existing commercially available open-loop and closed-loop implantable neurostimulators are reviewed and compared in terms of their targeted application, physical size, system-level features, and performance as a medical device. Next, signal processing algorithms as the primary strength point of the closed-loop neurostimulators are reviewed, and various design and implementation requirements and trade-offs are discussed in details along with quantitative examples. The review results in a set of guidelines for algorithm selection and evaluation...
July 17, 2017: IEEE Transactions on Biomedical Circuits and Systems
Zohre Beiki, Ali Jahanian
DNA is known as the building block for storing the life codes and transferring the genetic features through the generations. However, it is found that DNA strands can be used for a new type of computation that opens fascinating horizons in computational medicine. Significant contributions are addressed on design of DNA-based logic gates for medical and computational applications but there are serious challenges for designing the medium and large-scale DNA circuits. In this paper, a new microarchitecture and corresponding design flow is proposed to facilitate the design of multistage large-scale DNA logic systems...
June 23, 2017: IEEE Transactions on Biomedical Circuits and Systems
Jingna Mao, Huazhong Yang, Yong Lian, Bo Zhao
In wireless body area network, capacitive-coupling body channel communication (CC-BCC) has the potential to attain better energy efficiency over conventional wireless communication schemes. The CC-BCC scheme utilizes the human body as the forward signal transmission medium, reducing the path loss in wireless body-centric communications. However, the backward path is formed by the coupling capacitance between the ground electrodes (GEs) of transmitter (Tx) and receiver (Rx), which increases the path loss and results in a body posture dependent backward impedance...
June 20, 2017: IEEE Transactions on Biomedical Circuits and Systems
Gang Wang, Michael D Poscente, Simon S Park, Christopher N Andrews, Orly Yadid-Pecht, Martin P Mintchev
This paper presents a wearable microsystem for minimally invasive, autonomous, and pseudo-continuous blood glucose monitoring, addressing a growing demand for replacing tedious fingerpricking tests for diabetic patients. Unlike prevalent solutions which estimate blood glucose levels from interstitial fluids or tears, our design extracts a whole blood sample from a small lanced skin wound using a novel shape memory alloy (SMA)-based microactuator and directly measures the blood glucose level from the sample...
May 25, 2017: IEEE Transactions on Biomedical Circuits and Systems
Deniz Kilinc, Alper Demir
The brain is extremely energy efficient and remarkably robust in what it does despite the considerable variability and noise caused by the stochastic mechanisms in neurons and synapses. Computational modeling is a powerful tool that can help us gain insight into this important aspect of brain mechanism. A deep understanding and computational design tools can help develop robust neuromorphic electronic circuits and hybrid neuroelectronic systems. In this paper, we present a general modeling framework for biological neuronal circuits that systematically captures the nonstationary stochastic behavior of ion channels and synaptic processes...
August 2017: IEEE Transactions on Biomedical Circuits and Systems
Xiahan Zhou, Chih-Cheng Huang, Drew A Hall
In this paper, a time-domain magnetorelaxometry biosensing scheme is presented using giant magnetoresistive (GMR) sensors to measure the fast relaxation response of superparamagnetic magnetic nanoparticles (MNPs) in a pulsed magnetic field. The system consists of an 8 × 10 GMR sensor array, a Helmholtz coil, an electromagnet driver, and an integrator-based analog front-end needed to capture the fast relaxation dynamics of MNPs. A custom designed electromagnet driver and Helmholtz coil improve the switch-off speed to >5 Oe/μs, limiting the dead zone time to <10 μs, and thus enables the system to monitor fast relaxation processes of 30 nm MNPs...
August 2017: IEEE Transactions on Biomedical Circuits and Systems
Mario R Casu, Marco Vacca, Jorge A Tobon, Azzurra Pulimeno, Imran Sarwar, Raffaele Solimene, Francesca Vipiana
Microwave imaging is an emerging breast cancer diagnostic technique, which aims at complementing already established methods like mammography, magnetic resonance imaging, and ultrasound. It offers two striking advantages: no-risk for the patient and potential low-cost for national health systems. So far, however, the prototypes developed for validation in labs and clinics used costly lab instruments such as a vector network analyzer (VNA). Moreover, the CPU time required by complex image reconstruction algorithms may not be compatible with the duration of a medical examination...
August 2017: IEEE Transactions on Biomedical Circuits and Systems
Chengkun Cui, Gui-Bin Bian, Zeng-Guang Hou, Jun Zhao, Hao Zhou
In this study, a multimodal fusion framework based on three different modal biosignals is developed to recognize human intentions related to lower limb multi-joint motions which commonly appear in daily life. Electroencephalogram (EEG), electromyogram (EMG) and mechanomyogram (MMG) signals were simultaneously recorded from twelve subjects while performing nine lower limb multi-joint motions. These multimodal data are used as the inputs of the fusion framework for identification of different motion intentions...
August 2017: IEEE Transactions on Biomedical Circuits and Systems
Xu Liu, Xiwei Huang, Yu Jiang, Hang Xu, Jing Guo, Han Wei Hou, Mei Yan, Hao Yu
Based on a 3.2-Megapixel 1.1- μm-pitch super-resolution (SR) CMOS image sensor in a 65-nm backside-illumination process, a lens-free microfluidic cytometer for complete blood count (CBC) is demonstrated in this paper. Backside-illumination improves resolution and contrast at the device level with elimination of surface treatment when integrated with microfluidic channels. A single-frame machine-learning-based SR processing is further realized at system level for resolution correction with minimum hardware resources...
August 2017: IEEE Transactions on Biomedical Circuits and Systems
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