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IEEE Transactions on Biomedical Circuits and Systems

Zhidong Miao, Dake Liu, Chen Gong
Inductive wireless power transfer (IWPT) is a promising power technology for implantable biomedical devices, where the power consumption is low and the efficiency is the most important consideration. In this paper, we propose an optimization method of impedance matching networks (IMN) to maximize the IWPT efficiency. The IMN at the load side is designed to achieve the optimal load, and the IMN at the source side is designed to deliver the required amount of power (no-more-no-less) from the power source to the load...
September 15, 2017: IEEE Transactions on Biomedical Circuits and Systems
Tiago Costa, Filipe A Cardoso, Jose Germano, Paulo P Freitas, Moises S Piedade
The development of giant magnetoresistive (GMR) sensors has demonstrated significant advantages in nanomedicine, particularly for ultrasensitive point-of-care diagnostics. To this end, the detection system is required to be compact, portable, and low power consuming at the same time that a maximum signal to noise ratio is maintained. This paper reports a CMOS front-end with integrated magnetoresistive sensors for biomolecular recognition detection applications. Based on the characterization of the GMR sensor's signal and noise, CMOS building blocks (i...
September 14, 2017: IEEE Transactions on Biomedical Circuits and Systems
Fabio Pareschi, Mauro Mangia, Daniele Bortolotti, Andrea Bartolini, Luca Benini, Riccardo Rovatti, Gianluca Setti
In recent years, compressed sensing (CS) has proved to be effective in lowering the power consumption of sensing nodes in biomedical signal processing devices. This is due to the fact the CS is capable of reducing the amount of data to be transmitted to ensure correct reconstruction of the acquired waveforms. Rakeness-based CS has been introduced to further reduce the amount of transmitted data by exploiting the uneven distribution to the sensed signal energy. Yet, so far no thorough analysis exists on the impact of its adoption on CS decoder performance...
September 13, 2017: IEEE Transactions on Biomedical Circuits and Systems
Debnath Maji, Michael A Suster, Erdem Kucukal, Ujjal D S Sekhon, Anirban Sen Gupta, Umut A Gurkan, Evi X Stavrou, Pedram Mohseni
This paper describes the design, fabrication, and testing of a microfluidic sensor for dielectric spectroscopy of human whole blood during coagulation. The sensor, termed ClotChip, employs a three-dimensional, parallel-plate, capacitive sensing structure with a floating electrode integrated into a microfluidic channel. Interfaced with an impedance analyzer, the ClotChip measures the complex relative dielectric permittivity, ϵ Tr, of human whole blood in the frequency range of 40 Hz to 100 MHz. The temporal variation in the real part of the blood dielectric permittivity at 1 MHz features a time to reach a permittivity peak, Tpeak, as well as a maximum change in permittivity after the peak, ∆εr,max, as two distinct parameters of ClotChip readout...
September 12, 2017: IEEE Transactions on Biomedical Circuits and Systems
Sara S Ghoreishizadeh, Irene Taurino, Giovanni De Micheli, Sandro Carrara, Pantelis Georgiou
A monolithic biosensing platform is presented for miniaturized amperometric electrochemical sensing in CMOS. The system consists of a fully integrated current readout circuit for differential current measurement as well as on-die sensors developed by growing platinum nanostructures (Pt-nanoS) on top of electrodes implemented with the top metal layer. The circuit is based on the switch-capacitor technique and includes pseudodifferential integrators for concurrent sampling of the differential sensor currents...
September 5, 2017: IEEE Transactions on Biomedical Circuits and Systems
Jun Zhang, Dan Yuan, Ronald Sluyter, Sheng Yan, Qianbin Zhao, Huanming Xia, Say Hwa Tan, Nam-Trung Nguyen, Weihua Li
White blood cells (WBCs) constitute only about 0.1% of human blood cells, yet contain rich information about the immune status of the body; thus, separation of WBCs from the whole blood is an indispensable and critical sample preparation step in many scientific, clinical, and diagnostic applications. In this paper, we developed a continuous and high-throughput microfluidic WBC separation platform utilizing the differential inertial focusing of particles in serpentine microchannels. First, separation performance of the proposed method is characterized and evaluated using polystyrene beads in the serpentine channel...
August 29, 2017: IEEE Transactions on Biomedical Circuits and Systems
Nabeel P M, Jayaraj Joseph, Mohanasankar Sivaprakasam
OBJECTIVE: We present the design and experimental validation of an arterial compliance probe with dual magnetic plethysmograph (MPG) transducers for local pulse wave velocity (PWV) measurement. The MPG transducers (positioned at 23 mm distance apart) utilizes Hall-effect sensors and permanent magnets for arterial blood pulse detection. METHODS: The MPG probe was initially validated on an arterial flow phantom using a reference method. Further, 20 normotensive subjects (14 males, age = 24 ± 3...
August 29, 2017: IEEE Transactions on Biomedical Circuits and Systems
Xiwei Huang, Umar Farooq, Jin Chen, Yakun Ge, Haijun Gao, Jiangtao Su, Xiang Wang, Shurong Dong, Ji-Kui Luo
The future point-of-care diagnostics requires miniaturizing the existing bulky and expensive bioanalysis instruments, where lab-on-CMOS-chip-based technology can provide a promising solution. In this paper, we presented a surface acoustic wave (SAW) pumped lensless microfluidic imaging system for flowing cell detection and counting. Different from the previous lensless systems, which employ external bulky syringe pump for cell driven, the developed system directly integrates the SAW pump on the CMOS image sensor chip to drive the cell-containing microfluid...
August 29, 2017: IEEE Transactions on Biomedical Circuits and Systems
Peng Li, Xu Zhang, Ming Liu, Xiaohui Hu, Bo Pang, Zhaolin Yao, Hanjun Jiang, Hongda Chen
This paper proposes a low power and efficient QRS processor for real-time and continuous mobile ECG monitoring. The QRS detector contains the wavelet transform (WT), the modulus maxima pair identification (MMPI), and the R position modification (RPM). In order to reduce power consumption, we choose the Haar function as the mother wavelet of WT. It is implemented by an optimized FIR filter structure where none of the multiplier is used. The MMPI processes the wavelet coefficients at scale 2 (4) and provides candidate R peak positions for the RPM...
August 29, 2017: IEEE Transactions on Biomedical Circuits and Systems
Matthew Douthwaite, Ermis Koutsos, David C Yates, Paul D Mitcheson, Pantelis Georgiou
Recent advances in electronics and electrochemical sensors have led to an emerging class of next generation wearables, detecting analytes in biofluids such as perspiration. Most of these devices utilize ion-selective electrodes (ISEs) as a detection method; however, ion-sensitive field-effect transistors (ISFETs) offer a solution with improved integration and a low power consumption. This work presents a wearable, thermoelectrically powered system composed of an application-specific integrated circuit (ASIC), two commercial power management integrated circuits and a network of commercial thermoelectric generators (TEGs)...
August 24, 2017: 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
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