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  • CONFERENCE PAPER
    Elia M, Leene LB, Constandinou TG, 2016,

    Continuous-Time Micropower Interface for Neural Recording Applications

    , IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 534-537, ISSN: 0271-4302
  • CONFERENCE PAPER
    Frehlick Z, Williams I, Constandinou TG, 2016,

    Improving Neural Spike Sorting Performance using Template Enhancement

    , 12th IEEE Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, Pages: 524-527, ISSN: 2163-4025
  • CONFERENCE PAPER
    Lauteslager T, Tommer M, Kjelgard KG, Lande TS, Constandinou TGet al., 2016,

    Intracranial Heart Rate Detection Using UWB Radar

    , 12th IEEE Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, Pages: 119-122, ISSN: 2163-4025
  • CONFERENCE PAPER
    Leene LB, Constandinou TG, 2016,

    A 2.7 mu W/MIPS, 0.88GOPS/mm(2) Distributed Processor for Implantable Brain Machine Interfaces

    , 12th IEEE Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, Pages: 360-363, ISSN: 2163-4025
  • CONFERENCE PAPER
    Liu Y, Pereira JL, Constandinou TG, 2016,

    Clockless Continuous-Time Neural Spike Sorting: Method, Implementation and Evaluation

    , IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 538-541, ISSN: 0271-4302
  • CONFERENCE PAPER
    Luan S, Liu Y, Williams I, Constandinou TGet al., 2016,

    An Event-Driven SoC for Neural Recording

    , 12th IEEE Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, Pages: 404-407, ISSN: 2163-4025
  • CONFERENCE PAPER
    Luan S, Williams I, de Carvalho F, Jackson A, Quian Quiroga R, Constandinou TGet al., 2016,

    Next Generation Neural Interfaces for low-power multichannel spike sorting

    , FENS Forum of Neuroscience, Publisher: FENS
  • JOURNAL ARTICLE
    Nicolaou N, Constandinou TG, 2016,

    A Nonlinear Causality Estimator Based on Non-Parametric Multiplicative Regression

    , FRONTIERS IN NEUROINFORMATICS, Vol: 10, ISSN: 1662-5196
  • CONFERENCE PAPER
    Nicolaou N, Constandinou TG, 2016,

    Phase-Amplitude Coupling during propofol-induced sedation: an exploratory approach

    , FENS Forum of Neuroscience, Publisher: FENS
  • CONFERENCE PAPER
    Ramezani R, Dehkhoda F, Soltan A, Degenaar P, Liu Y, Constandinou Tet al., 2016,

    An Optrode with built-in self-diagnostic and fracture sensor for cortical brain stimulation

    , 12th IEEE Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, Pages: 392-395, ISSN: 2163-4025
  • CONFERENCE PAPER
    Troiani F, Nikolic K, Constandinou TG, 2016,

    Optical coherence tomography for detection of compound action potential in Xenopus Laevis sciatic nerve

    , Conference on Clinical and Translational Neurophotonics; Neural Imaging and Sensing; and Optogenetics and Optical Manipulation, Publisher: SPIE-INT SOC OPTICAL ENGINEERING, ISSN: 0277-786X
  • CONFERENCE PAPER
    Williams I, Rapeaux A, Liu Y, Luan S, Constandinou TGet al., 2016,

    A 32-Ch. Bidirectional Neural/EMG Interface with on-Chip Spike Detection for Sensorimotor Feedback

    , 12th IEEE Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, Pages: 528-531, ISSN: 2163-4025
  • CONFERENCE PAPER
    De Marcellis A, Palange E, Liberatore V, Nubile L, Faccio M, Constandinou TGet al., 2015,

    A new modulation technique for high data rate low power UWB wireless optical communication in implantable biotelemetry systems

    , Eurosensors 2015

    We 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.

  • CONFERENCE PAPER
    Dehkhoda F, Soltan A, Ramezani R, Zhao H, Liu Y, Constandinou T, Degenaar Pet al., 2015,

    Smart Optrode for Neural Stimulation and Sensing

    , 2015 IEEE SENSORS, Publisher: IEEE, Pages: 1965-1968, ISSN: 1930-0395
  • CONFERENCE PAPER
    Faliagkas K, Leene LB, Constandinou TG, 2015,

    A Novel Neural Recording System Utilising Continuous Time Energy Based Compression

    , IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 3000-3003, ISSN: 0271-4302
  • PATENT
    Jackson A, Constandinou TG, Eftekhar A, Quiroga RQ, Navajas JAet al., 2015,

    System for a Brain-Computer Interface

  • CONFERENCE PAPER
    Lauteslager T, Nicolaou N, Lande TS, Constandinou Tet al., 2015,

    Functional neuroimaging using UWB impulse radar: A feasibility study

    , 11th IEEE Annual Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, Pages: 406-409, ISSN: 2163-4025
  • CONFERENCE PAPER
    Rapeaux A, Nikolic K, Williams I, Eftekhar A, Constandinou TGet 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 (EMBC), Publisher: IEEE, Pages: 3411-3414, ISSN: 1557-170X
  • PATENT
    Reed S, Georgiou P, Constandinou TG, 2015,

    Method and Apparatus for Sensing a Property of a Fluid

    , 8,986,525 B2

    A device for sensing a property of a fluid comprising a first substrate having formed thereon a sensor configured in use to come into contact with a fluid in order to sense a property of the fluid, and a wireless transmitter for transmitting data over a wireless data link and a second substrate having formed thereon a wireless receiver for receiving data transmitted over said wireless link by said wireless transmitter. The first substrate is fixed to or within said second substrate. Additionally or alternatively, the device comprises a first substrate defining one or more microfluidic structures for receiving a fluid to be sensed and a second substrate comprising or having attached thereto a multiplicity of fluid sensors, the number of sensors being greater than the number of microfluidic structures. The second substrate is in contact with the first substrate such that at least one of the sensors is aligned with the or each microfluidic structure so as to provide an active sensor for the or each structure, and such that one or more of the sensors is or are not aligned with any microfluidic structure and is or are thereby redundant.

  • CONFERENCE PAPER
    Williams I, Luan S, Jackson A, Constandinou TGet al., 2015,

    A Scalable 32 Channel Neural Recording and Real-time FPGA Based Spike Sorting System

    , 11th IEEE Annual Biomedical Circuits and Systems Conference (BioCAS), Publisher: IEEE, Pages: 188-191, ISSN: 2163-4025

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