Publications
Results
- Showing results for:
- Reset all filters
Search results
-
Conference paperZhao H, Dehkhoda F, Ramezani R, et al., 2016,
A CMOS-Based Neural Implantable Optrode for Optogenetic Stimulation and Electrical Recording
, IEEE Biomedical Circuits and Systems (BioCAS) Conference, Publisher: IEEE, Pages: 286-289This paper presents a novel integrated optrode for simultaneous optical stimulation and electrical recording for closed -loop optogenetic neuro-prosthetic applications. The design has been implemented in a commercially available 0.35μm CMOS process. The system includes circuits for controlling the optical stimulations; recording local field potentials (LFPs); and onboard diagnostics. The neural interface has two clusters of stimulation and recording sites. Each stimulation site has a bonding point for connecting a micro light emitting diode (μLED) to deliver light to the targeted area of brain tissue. Each recording site is designed to be post-processed with electrode materials to provide monitoring ofneural activity. On-chip diagnostic sensing has been included to provide real-time diagnostics for post-implantation and during normal operation.
-
Conference paperLauteslager T, Nicolaou N, Lande TS, et al., 2016,
Functional neuroimaging Using UWB Impulse Radar: a Feasibility Study
, IEEE Biomedical Circuits and Systems (BioCAS) Conference, Publisher: IEEE, Pages: 406-409Microwave imaging is a promising new modalityfor studying brain function. In the current paper we assess thefeasibility of using a single chip implementation of an ultra-wideband impulse radar for developing a portable and low-costfunctional neuroimaging device. A numerical model is used topredict the level of attenuation that will occur when detectinga volume of blood in the cerebral cortex. A phantom liquid ismade, to study the radar’s performance at different attenuationlevels. Although the radar is currently capable of detecting apoint reflector in a phantom liquid with submillimeter accuracyand high temporal resolution, object detection at the desired levelof attenuation remains a challenge.
-
Conference paperRamezani R, Dehkhoda F, Soltan A, et al., 2016,
An optrode with built-in self-diagnostic and fracture sensor for cortical brain stimulation
, IEEE Biomedical Circuits and Systems (BioCAS) Conference, Publisher: IEEE, Pages: 392-395This paper proposes a self-diagnostic subsystem for a new generation of brain implants with active electronics. The primary objective of such probes is to deliver optical pulses to optogenetic tissue and record the subsequent activity, but lifetime is currently unknown. Our proposed circuits aim to increase the safety of implanting active electronic probes into human brain tissue. Therefore, prolonging the lifetime of the implant and reducing the risks to the patient. The self-diagnostic circuit will examine the optical emitter against any abnormality or malfunctioning. The fracture sensor examinesthe optrode against any rapture or insertion breakage. The optrode including our diagnostic subsystem and fracture sensor has been designed and successfully simulated at 350nm AMS technology node and sent for manufacture.
-
Conference paperNicolaou N, Constandinou TG, 2016,
Phase-Amplitude Coupling during propofol-induced sedation: an exploratory approach
, FENS Forum of Neuroscience, Publisher: FENS -
Conference paperLuan S, Williams I, de Carvalho F, et al., 2016,
Next Generation Neural Interfaces for low-power multichannel spike sorting
, FENS Forum of Neuroscience, Publisher: FENS -
Journal articleNicolaou N, Constandinou TG, 2016,
A nonlinear causality estimator based on Non-Parametric Multiplicative Regression
, Frontiers in Neuroinformatics, Vol: 10, ISSN: 1662-5196Causal prediction has become a popular tool for neuroscience applications, as it allows the study of relationships between different brain areas during rest, cognitive tasks or brain disorders. We propose a nonparametric approach for the estimation of nonlinear causal prediction for multivariate time series. In the proposed estimator, C-NPMR, Autoregressive modelling is replaced by Nonparametric Multiplicative Regression (NPMR). NPMR quantifies interactions between a response variable (effect) and a set of predictor variables (cause); here, we modified NPMR for model prediction. We also demonstrate how a particular measure, the sensitivity Q, could be used to reveal the structure of the underlying causal relationships. We apply C-NPMR on artificial data with known ground truth (5 datasets), as well as physiological data (2 datasets). C-NPMR correctly identifies both linear and nonlinear causal connections that are present in the artificial data, as well as physiologically relevant connectivity in the real data, and does not seem to be affected by filtering. The Sensitivity measure also provides useful information about the latent connectivity.The proposed estimator addresses many of the limitations of linear Granger causality and other nonlinear causality estimators. C-NPMR is compared with pairwise and conditional Granger causality (linear) and Kernel-Granger causality (nonlinear). The proposed estimator can be applied to pairwise or multivariate estimations without any modifications to the main method. Its nonpametric nature, its ability to capture nonlinear relationships and its robustness to filtering make it appealing for a number of applications.
-
Conference paperLiu Y, Pereira J, Constandinou TG, 2016,
Clockless Continuous-Time Neural Spike Sorting: Method, Implementation and Evaluation
, IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 538-541In this paper, we present a new method for neuralspike sorting based on Continuous Time (CT) signal processing.A set of CT based features are proposed and extracted fromCT sampled pulses, and a complete event-driven spike sortingalgorithm that performs classification based on these features isdeveloped. Compared to conventional methods for spike sorting,the hardware implementation of the proposed method does notrequire any synchronisation clock for logic circuits, and thusits power consumption depend solely on the spike activity. Thishas been implemented using a variable quantisation step CTanalogue to digital converter (ADC) with custom digital logicthat is driven by level crossing events. Simulation results usingsynthetic neural data shows a comparable accuracy comparedto template matching (TM) and Principle Components Analysis(PCA) based discrete sampled classification.
-
Conference paperElia M, Leene L, Constandinou TG, 2016,
Continuous-Time Micropower Interface for Neural Recording Applications
, IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 534-637This paper presents a novel amplifier architectureintended for low power neural recording applications. By usingcontinuous-time signal representation, the proposed topologypredominantly leverages digital topologies taking advantage ofefficient techniques used in time domain systems. This includeshigher order feedback dynamics that allow direct analoguesignal quantization and near ideal integrator structures for noiseshaping. The system implemented in 0.18 μ m standard CMOSdemonstrates the capability for low noise instrumentation witha bandwidth of 6 kHz and highly linear full dynamic range.Simulation results indicate 1.145 μW budget from 0.5 V supplyvoltage with an input referred thermal noise of 7.7 μVrms.
-
Conference paperBarsakcioglu DY, Constandinou TG, 2016,
A 32-Channel MCU-Based Feature Extraction and Classification for Scalable on-Node Spike Sorting
, IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 1310-1313This paper describes a new hardware-efficientmethod and implementation for neural spike sorting basedon selection of a channel-specific near-optimal subset of fea-tures given a larger predefined set. For each channel, real-time classification is achieved using a simple decision matrixthat considers the features that provide the highest separabilitydetermined through off-line training. A 32-channel system for on-line feature extraction and classification has been implementedin an ARM Cortex-M0+ processor. Measured results of thehardware platform consumes 268 W per channel during spikesorting (includes detection). The proposed method provides atleast x10 reduction in computational requirements compared toliterature, while achieving an average classification error of lessthan 10% across wide range of datasets and noise levels.
-
Journal articleWoods S, Constandinou TG, 2016,
A compact targeted drug delivery mechanism for a next generation wireless capsule endoscope
, Journal of Micro-Bio Robotics, Vol: 11, Pages: 19-34, ISSN: 2194-6426This paper reports a novel medication release and delivery mechanism as part of a next generation wireless capsule endoscope (WCE) for targeted drug delivery. This subsystem occupies a volume of only 17.9mm3 for the purpose of delivering a 1 ml payload to a target site of interest in the small intestinal tract. An in-depth analysis of the method employed to release and deliver the medication is described and a series of experiments is presented which validates the drug delivery system. The results show that a variable pitch conical compression spring manufactured from stainless steel can deliver 0.59 N when it is fully compressed and that this would be sufficient force to deliver the onboard medication.
-
Conference paperTroiani F, Nikolic K, Constandinou TG, 2016,
Optical Coherence Tomography for detection of compound action potential in Xenopus Laevis sciatic nerve
, SPIE Photonics West (BIOS)Due to optical coherence tomography (OCT) high spatial and temporal resolution, this technique could be used to observe the quick changes in the refractive index that accompany action potential. In this study we explorethe use of time domain Optical Coherence Tomography (TD-OCT) for real time action potential detection in ex vivo Xenopus Laevis sciatic nerve. TD-OCT is the easiest and less expensive OCT technique and, if successful indetecting real time action potential, it could be used for low cost monitoring devices. A theoretical investigation into the order of magnitude of the signals detected by a TD-OCT setup is provided by this work. A lineardependence between the refractive index and the intensity changes is observed and the minimum SNR for which the setup could work is found to be SNR = 2 x10⁴.
-
Journal articleGuven O, Eftekhar A, Kindt W, et al., 2016,
Computationally-efficient realtime interpolation algorithm for non-uniform sampled biosignals
, Healthcare Technology Letters, Vol: 3, Pages: 105-110, ISSN: 2053-3713This letter presents a novel, computationally-efficient interpolation method that has been optimised for use in ECG baseline drift removal. In our previous work 3 isoelectric baseline points per heart beat are detected, and here utilised as interpolation points. As an extension from linear interpolation, our algorithm segments the interpolation interval and utilises different piecewise linear equations. Thus the algorithm produces a linear curvature that is computationally efficient while avoiding overshoots on nonuniform samples. The proposed algorithm is tested using sinusoids with different fundamental frequencies from 0.05Hz to 0.7Hz and also validated with real baseline wander data acquired from the MIT-BIH Noise Stress Database. The synthetic data results show an RMS error of 0.9μV (mean), 0.63μV (median) and 0.6μV (std. dev.) per heart beat on a 1mVp-p 0.1Hz sinusoid. On real data we obtain an RMS error of 10.9μV (mean), 8.5μV (median) and 9.0μV (std. dev.) per heart beat. Cubic spline interpolation and linear interpolation on the other hand shows 10.7μV, 11.6μV (mean), 7.8μV, 8.9μV(median) and 9.8μV, 9.3μV (std. dev.) per heart beat respectively.
-
Conference paperDehkhoda F, Soltan A, Ramezani R, et al., 2015,
Smart Optrode for Neural Stimulation and Sensing
, 2015 IEEE Sensors Conference, Publisher: IEEE, Pages: 1-4Implantable neuro-prosthetics considerable clinical benefit to a range of neurological conditions. Optogenetics is a particular recent interest which utilizes high radiance light for photo-activation of genetic cells. This can provide improved biocompatibility and neural targeting over electrical stimuli. To date the primary optical delivery method in tissue for optogenetics has been via optic fibre which makes large scale multiplexing difficult. An alternative approach is to incorporate optical micro-emitters directly on implantable probes but this still requires electrical multiplexing. In this work, we demonstrate a fully active optoelectronic probe utilizing industry standard 0.35μm CMOS technology, capable of both light delivery and electrical recording. The incorporation of electronic circuits onto the device further allows us to incorporate smart sensors to determine diagnostic state to explore long term viability during chronic implantation.
-
Conference paperWilliams I, Luan S, Jackson A, et al., 2015,
A scalable 32 channel neural recording and real-time FPGA based spike sorting system
, IEEE Biomedical Circuits and Systems (BioCAS) Conference, Publisher: IEEE, Pages: 187-191This demo presents a scalable a 32-channel neuralrecording platform with real-time, on-node spike sorting ca-pability. The hardware consists of: an Intan RHD2132 neuralamplifier; a low power Igloo ® nano FPGA; and an FX3 USB3.0 controller. Graphical User Interfaces for controlling thesystem, displaying real-time data, and template generation witha modified form of WaveClus are demonstrated.
-
Conference paperDe Marcellis A, Palange E, Liberatore V, et al., 2015,
A new modulation technique for high data rate low power UWB wireless optical communication in implantable biotelemetry systems
, Eurosensors 2015We report on the development of a novel modulation technique for UWB wireless optical communication systems for application in a transcutaneous biotelemetry. The solution, based on the generation of short laser pulses, allows for a high data rate link whilst achieving a significant power reduction (energy per bit) compared to the state-of-the-art. These features make this particularly suitable for emerging biomedical applications such as implantable neural/biosensor systems. The relatively simple architecture consists of a transmitter and receiver that can be integrated in a standard CMOS technology in a compact Silicon footprint. These parts include circuits for bias and drive current generation, conditioning and processing, optimised for low-volt age/low-power operation. Preliminary experimental findings validate the new paradigm and show good agreement with expected results. The complete system achieves a BER less than 10-7, with maximum data rate of 125Mbps and estimated total power consumption of less than 3mW.
-
PatentJackson A, Constandinou TG, Eftekhar A, et al., 2015,
System for a Brain-Computer Interface
-
Conference paperRapeaux A, Nikolic K, Williams I, et al., 2015,
Fiber size-selective stimulation using action potential filtering for a peripheral nerve interface: A simulation study
, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Pages: 3411-3414Functional electrical stimulation is a powerfultool for restoration of function after nerve injury. Howeverselectivity of stimulation remains an issue. This paper presentsan alternative stimulation technique to obtain fiber size-selectivestimulation of nerves using FDA-approved electrode implants.The technique was simulated for the ventral roots ofXenopus Laevis, motivated by an application in bladder control. Thetechnique relies on applying a high frequency alternatingcurrent to filter out action potentials in larger fibers, resultingin selective stimulation of the smaller fibers. Results predict thatthe technique can distinguish fibers with only a 2 µm differencein diameter (for nerves not exceeding 2 mm in diameter). Thestudy investigates the behaviour of electrically blocked nervesin detail. Model imperfections and simplifications yielded someartefacts in the results, as well as unexpected nerve behaviourwhich is tentatively explained.
-
Conference paperWoods S, Constandinou TG, 2015,
A novel holding mechanism for next generation active wireless capsule endoscopy
, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Publisher: IEEE, Pages: 1181-1185This paper proposes that next generation wirelesscapsule endoscopy (WCE) technology will feature active me-chanical components (i.e. actuated) as opposed to current sys-tems that are predominantly passive (e.g. for imaging purposes).Future systems will integrate microsystems that use micro-actuators to, for example, perform micro-surgery, take tissuesamples, deliver medication, etc. In this paper we detail a novel,ultra-compact integrated mechanism for resisting peristalsisand describe how this can be fabricated in Nylon 6 usingCNC milling. The holding action is achieved by extendingan “anchor” spanning an effective 60.4 mm circumference, fora 11.0 mm diameter WCE. This function is achieved by amechanism that occupies only 347.0 mm3volume, includingmechanics and actuator. This shows how exploiting conventionalmanufacturing processes can result in a radical change in thecapabilities of WCE systems and empower the next generationof active devices.
-
Journal articleWoods S, Constandinou TG, 2015,
Engineering Micro Mechanical Systems for the Next Generation Wireless Capsule Endoscopy
, BioMed Research International, Vol: 2015, ISSN: 2314-6141Wireless capsule endoscopy (WCE) enables the detection and diagnosis of in ammatory bowel diseases such as Crohn's disease and ulcerative colitis. However treatment of these pathologies through the administering of therapy can only be achieved through conventional means. This paper describes the next generation wireless capsule endoscopy which has increased functionality to allow for targeted drug delivery in the small intestinal tract. A prototype microrobot fabricated in Nylon 6 is presented which is capable of resisting natural peristaltic pressure through the deployment of an integrated holding mechanism and delivering targeted therapy. The holding action is achieved by extending an \anchor" spanning an effective 60.4mm circumference, for a 11.0mm diameterWCE. This function is achieved by a mechanism that occupies only 347.0mm3 volume, including mechanics and actuator. A micro-positioning mechanism is described which utilises a single micromotor to radially position then deploy a needle 1.5mm outside the microrobot's body for the purpose of delivering a 1 ml dose of medication to a targeted site. An analysis of the mechanics required to drive the holding mechanism is presented and an overview of micro-actuators and the state of the art in WCE is discussed. The novel mechanisms offer increased functionality to WCE. It is envisaged that this increased ability to perform targeted therapy will empower the next generation of WCE to help diagnose and treat pathologies of the GI tract.
-
Conference paperFaliagkas K, Leene L, Constandinou TG, 2015,
A Novel Neural Recording System Utilising Continuous Time Energy Based Compression
, IEEE International Symposium on Circuits & Systems (ISCAS), Publisher: IEEE, Pages: 3000-3003This work presents a new data compression methodthat uses an energy operator to exploit the correlated energy inneural recording features in order to achieve adaptive sampling.This approach enhances conventional data converter topologieswith the power saving of asynchronous systems while maintaininglow complexity & high efficiency. The proposed scheme enablesthe transmission of 0:7kS/s, while preserving the features of thesignal with an accuracy of 95%. It is also shown that the operationof the system is not susceptible to noise, even for signals with 1dBSNR. The whole system consumes 3:94mWwith an estimated areaof 0:093mm2.
This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.