Read by QxMD icon Read

IEEE Transactions on Biomedical Circuits and Systems

Keshab K Parhi, Zisheng Zhang
The ratio of spectral power in two different bands and relative band power have been shown to be sometimes more discriminative features than the spectral power in a specific band for binary classification of a time-series for seizure prediction. Using auto-regressive modeling, this paper, for the first time, theoretically explains that, for high signal-to-noise ratio (SNR) cases, the ratio features may sometimes amplify the discriminability of one of the two states in a time-series as compared to a band power...
May 16, 2019: IEEE Transactions on Biomedical Circuits and Systems
Antonis Nikitakis, Konstantinos Makantasis, Nikolaos Tampouratzis, Ioannis Papaefstathiou
This paper introduces a novel electroencephalogram (EEG) data classification scheme together with its implementation in hardware using an innovative approach. The proposed scheme integrates into a single, end-to-end trainable model a spatial filtering technique and a neural network based classifier. The spatial filters, as well as, the coefficients of the neural network classifier are simultaneously estimated during training. By using different time-locked spatial filters, we introduce for the first time the notion of "attention" in EEG processing, which allows for the efficient capturing of the temporal dependencies and/ or variability of the EEG sequential data...
May 15, 2019: IEEE Transactions on Biomedical Circuits and Systems
Chandan Nayak, Suman Kumar Saha, Rajib Kar, Durbadal Mandal
This paper presents an efficient infinite impulse response (IIR) type digital fractional order differentiator (DFOD) based electrocardiogram (ECG) pre-processor to detect QRS complexes. Firstly, an efficient optimizer namely, Antlion optimization (ALO) algorithm is employed to solve the proposed DFOD design problem. Then the designed DFOD is deployed in the pre-processing stage of a threshold independent R-peak detection technique. Finally, the proposed QRS complex detector is thoroughly assessed on the standard ECG datasets of MIT/BIH Arrhythmia, MIT/BIH ST Change, MIT/BIH Supraventricular Arrhythmia, European ST-T, QT, and T-Wave Alternans Challenge databases to show the wide sense practicability of the proposed DFOD based QRS detector...
May 13, 2019: IEEE Transactions on Biomedical Circuits and Systems
Yaoyao Jia, S Abdollah Mirbozorgi, Pengcheng Zhang, Omer T Inan, Wen Li, Maysam Ghovanloo
Distributed neural interfaces made of many mm-sized implantable medical devices (IMDs) are poised to play a key role in future brain-computer interfaces (BCI) because of less damage to the surrounding tissue. Evaluating them wirelessly at preclinical stage (e.g. in a rodent model), however, is a major challenge due to weak coupling and significant losses, resulting in limited power delivery to the IMD within a nominal experimental arena, like a homecage, without surpassing the specific absorption rate (SAR) limit...
May 8, 2019: IEEE Transactions on Biomedical Circuits and Systems
Runbin Shi, Justin S J Wong, Edmund Y Lam, Kevin K Tsia, Hayden K-H So
A fundamental technical challenge for ultra-fast cell microscopy is the trade-off between imaging throughput and resolution. In addition to throughput, real-time applications such as image-based cell sorting further requires ultra-low imaging latency to facilitate rapid decision making on a single-cell level. Using a novel coprime line scan sampling scheme, a real-time low-latency hardware super-resolution system for ultra-fast time-stretch microscopy is presented. The proposed scheme utilizes analog-to-digital converter with carefully tuned sampling pattern (shifted sampling grid) to enable super-resolution image reconstruction using line scan input from an optical front-end...
May 6, 2019: IEEE Transactions on Biomedical Circuits and Systems
Simone Benatti, Fabio Montagna, Victor Kartsch, Abbas Rahimi, Davide Rossi, Luca Benini
This work presents a wearable EMG gesture recognition system based on the hyperdimensional (HD) computing paradigm, running on a programmable Parallel Ultra-Low- Power (PULP) platform. The processing chain includes efficient on-chip training, which leads to a fully embedded implementation with no need to perform any offline training on a personal computer. The proposed solution has been tested on 10 subjects in a typical gesture recognition scenario achieving 85% average accuracy on 11 gestures recognition, which is aligned with the SoA, with the unique capability of performing online learning...
May 2, 2019: IEEE Transactions on Biomedical Circuits and Systems
Val Mikos, Chun-Huat Heng, Arthur Tay, Shih-Cheng Yen, Nicole Shuang Yu Chia, Karen Mui Ling Koh, Dawn May Leng Tan, Wing Lok Au
Freezing of Gait (FoG) is a common motor related impairment among Parkinson's disease patients which substantially reduces their quality of life and puts them at risk of falls. These patients benefit from wearable FoG detection systems that provide timely biofeedback cues and hence help them regain control over their gait. Unfortunately, the systems proposed thus far are bulky and obtrusive when worn. The objective of this paper is to demonstrate the first integration of a FoG detection system into a single sensor node...
May 1, 2019: IEEE Transactions on Biomedical Circuits and Systems
Matthew Schormans, Virgilio Valente, Andreas Demosthenous
No abstract text is available yet for this article.
April 25, 2019: IEEE Transactions on Biomedical Circuits and Systems
Shovan Maity, Xinyi Jiang, Shreyas Sen
Prolific growth of miniaturized devices has led to widespread use of wearable devices and physiological sensors. The state-of-art technique for connecting these devices and sensors is through wireless radio waves. However, WBAN suffers from limited security (wireless signals from energy-constrained sensors can be snooped by nearby attackers), poor energy-efficiency (up-conversion and down-convention) and self-interference. Human Body Communication (HBC), which uses human body as a conducting medium, has emerged as a new alternative physical layer for WBAN, as it can enable communication with better energy efficiency and enhanced security...
April 15, 2019: IEEE Transactions on Biomedical Circuits and Systems
Xinchi Yu, Wilko Neu, Pascal Vetter, Cornelius Bollheimer, Steffen Leonhardt, Daniel Teichmann, Christoph Hoog Antink
In this paper we present a novel unobtrusive multimodal sensor for monitoring of physiological parameters featuring capacitive electrocardiogram (cECG), reflective photoplethysmogram (rPPG), and magnetic induction monitoring (MI) in a single sensor. The sensor system comprises sensor nodes designed and optimised for integration into a grid-like array of multiple sensors in a bed and a central controller box for data collection and processing. Hence, it is highly versatile in application and suitable for unobtrusive monitoring of vital signs, both in a professional setting and a home-care environment...
April 15, 2019: IEEE Transactions on Biomedical Circuits and Systems
Jin-Kwan Park, Yunseog Hong, Hyunjae Lee, Chorom Jang, Gi-Ho Yun, Hee-Jo Lee, Jong-Gwan Yook
In this paper, a radio frequency (RF) vital sign sensor based on double voltage-controlled oscillators (VCOs) combined with a switchable phase-locked loop (PLL) is proposed for a noncontact remote vital sign sensing system. Our sensing system primarily detects the periodic movements of the human lungs and the hearts via the impedance variation of the resonator. With a change in impedance, both the VCO oscillation frequency and the PLL feedback voltage also change. Thus, by tracking the feedback voltage of the PLL, breath and heart rate signals can be acquired simultaneously...
March 29, 2019: IEEE Transactions on Biomedical Circuits and Systems
Daniel Valencia, Amirhossein Alimohammad
This article presents an efficient hardware architecture for the design and implementation of a spike sorting system using on-line template-matching. Over the past decade, various spike sorting algorithms have been proposed, however, due to their computational complexity, they may not be suitable for implantable devices that have stringent area and power consumption requirements. We first developed a software-based spike sorting system in both floating-point and fixed-point representations. Then we used our developed software-based spike sorting system for (i) studying various neural signal processing algorithms and assessing their feasibility for efficient hardware implementations and (ii) off-line processing of previously recorded neural data and extracting the threshold data and spike templates for configuring our spike sorting hardware architecture...
March 27, 2019: IEEE Transactions on Biomedical Circuits and Systems
Yexin Yan, David Kappel, Felix Neumaerker, Johannes Partzsch, Bernhard Vogginger, Sebastian Hoeppner, Steve Furber, Wolfgang Maass, Robert Legenstein, Christian Mayr
Advances in neuroscience uncover the mechanisms employed by the brain to efficiently solve complex learning tasks with very limited resources. However, the efficiency is often lost when one tries to port these findings to a silicon substrate, since brain-inspired algorithms often make extensive use of complex functions such as random number generators, that are expensive to compute on standard general purpose hardware. The prototype chip of the 2nd generation SpiNNaker system is designed to overcome this problem...
March 27, 2019: IEEE Transactions on Biomedical Circuits and Systems
Jonathan Jin Yuan Teo, Ron Weiss, Rahul Sarpeshkar
Tissue homeostasis (feedback control) is an important mechanism that regulates the population of different cell types within a tissue. In type-1 diabetes, auto-immune attack and consequent death of pancreatic β cells result in the failure of homeostasis and loss of organ function. Synthetically engineered adult stem cells with homeostatic control based on digital logic have been proposed as a solution for regenerating β cells. Such previously proposed homeostatic control circuits have thus far been unable to reliably control both stem-cell proliferation and stem-cell differentiation...
March 25, 2019: IEEE Transactions on Biomedical Circuits and Systems
Ziyu Wang, Shahriar Mirabbasi
In this work, we present a CMOS rectifier and its associated external transmitting antenna that are designed for wirelessly powered implantable devices in general, and for a smart medical stent interface, in particular. The detailed characterization and modelling procedures of the "smart stent'' implant are presented, and the extracted circuit model of the stent is used for stent-rectifier co-optimization. A fully on-chip transformer-based tunable matching network is co-designed with the differential cross-coupled rectifier...
March 12, 2019: IEEE Transactions on Biomedical Circuits and Systems
Ehsan Jokar, Hadis Abolfathi, Arash Ahmadi
Efficient hardware realization of spiking neural networks is of great significance in a wide variety of applications such as high-speed modeling and simulation of large-scale neural systems. Exploiting the key features of FPGAs, this paper presents a novel nonlinear function evaluation approach, based on an effective uniform piecewise linear segmentation method, to efficiently approximate the nonlinear terms of neuron and synaptic plasticity models targeting low-cost digital implementation. The proposed approach takes advantage of a high-speed and extremely simple segment address encoder (SAE) unit regardless of the number of segments and therefore is capable of accurately approximating a given nonlinear function with a large number of straight lines...
February 22, 2019: IEEE Transactions on Biomedical Circuits and Systems
Nikola Ivanisevic, Saul Rodriguez, Ana Rusu
Impedance spectroscopy is a commonly used measurement technique for electrical characterization of a sample-under-test over a wide frequency range. Most measurement methods employ a sine wave excitation generator, which implies a point-by-point frequency sweep and a complex readout architecture. This paper presents a fast, wide-band, measurement method for impedance spectroscopy based on linear system identification. The main advantage of the proposed method is the low hardware complexity, which consists of a 3-level pulse waveform, an inverting voltage amplifier and a general purpose ADC...
February 20, 2019: IEEE Transactions on Biomedical Circuits and Systems
Yarub Alazzawi, Kenji Aono, Erica Scheller, Shantanu Chakrabartty
Conventional approaches for wireless power transfer rely on the mutual coupling (near-field or far-field) between the transmitter and receiver transducers. As a result, the power-transfer efficiency of these approaches scales non-linearly with the cross-sectional area of the transducers and with the relative distance and respective alignment between the transducers. In this paper we show that when the operational power-budget requirements are in the order of microwatts, a self-capacitance (SC) based power delivery has significant advantages in terms of power transfer-efficiency (PTE), receiver form-factor and system scalability when compared to other modes of wireless power transfer (WPT) methods...
February 20, 2019: IEEE Transactions on Biomedical Circuits and Systems
Alessandro Urso, Vasiliki Giagka, Wouter A Serdijn
This manuscript points out some mistakes in the Introduction and in the table of comparison of a paper already published in this journal by Hsu and Schmid [1]. Although the main claim of [1] is still preserved, we believe the paper needs to be rectified for scientific correctness of the work.
February 11, 2019: IEEE Transactions on Biomedical Circuits and Systems
Geoffrey Mulberry, Kevin A White, Brian N Kim
High-throughput recordings of small current are becoming more common in biosensor applications, including in vivo dopamine measurements, single-cell electrophysiology, photoplethysmography, pulse oximetry, and nanopore recordings. Thus, a highly scalable transimpedance amplifier design is in demand. Half-Shared amplifier design is one way to improve the scalability by sharing the non-inverting side of the operational amplifier design for many inverting halves. This method reduces silicon area and power by nearly half compared to using independent operational amplifiers...
February 4, 2019: 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"