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  • Journal article
    Wu Y, Pan Y, Barnaghi P, Tan Z, Ge J, Wang Het al., 2021,

    Editorial: Big data technologies and applications

    , WIRELESS NETWORKS, Vol: 28, Pages: 1163-1167, ISSN: 1022-0038
  • Journal article
    Rowan AG, May P, Badhan A, Herrera C, Watber P, Penn R, Crone MA, Storch M, Garson JA, McClure M, Freemont PS, Madona P, Randell P, Taylor GPet al., 2021,

    Optimized protocol for a quantitative SARS-CoV-2 duplex RT-qPCR assay with internal human sample sufficiency control.

    , Journal of Virological Methods, Vol: 294, Pages: 1-7, ISSN: 0166-0934

    There is growing evidence that measurement of SARS-CoV-2 viral copy number can inform clinical and public health management of SARS-CoV-2 carriers and COVID-19 patients. Here we show that quantification of SARS-CoV-2 is feasible in a clinical setting, using a duplex RT-qPCR assay which targets both the E gene (Charité assay) and a human RNA transcript, RNase P (CDC assay) as an internal sample sufficiency control. Samples in which RNase P is not amplified indicate that sample degradation has occurred, PCR inhibitors are present, RNA extraction has failed or swabbing technique was insufficient. This important internal control reveals that 2.4% of nasopharyngeal swabs (15/618 samples) are inadequate for SARS-CoV-2 testing which, if not identified, could result in false negative results. We show that our assay is linear across at least 7 logs and is highly reproducible, enabling the conversion of Cq values to viral copy numbers using a standard curve. Furthermore, the SARS-CoV-2 copy number was independent of the RNase P copy number indicating that the per-swab viral copy number is not dependent on sampling- further allowing comparisons between samples. The ability to quantify SARS-CoV-2 viral copy number will provide an important opportunity for viral burden-guided public health and clinical decision making.
  • Journal article
    Huo W, Moon H, Alouane MA, Bonnet V, Huang J, Amirat Y, Vaidyanathan R, Mohammed Set al., 2021,

    Impedance modulation control of a lower limb exoskeleton to assist sit-to-stand movements

    , IEEE Transactions on Robotics, ISSN: 1552-3098

    As an important movement of the daily living activities, sit-to-stand (STS) movement is usually a difficult task facingelderly and dependent people. In this article, a novel impedancemodulation strategy of a lower limb exoskeleton is proposed toprovide appropriate power and balance assistance during STSmovements while preserving the wearer’s control priority. Theimpedance modulation control strategy ensures adaptation of themechanical impedance of the human-exoskeleton system towardsa desired one requiring less wearer’s effect while reinforcing thewearer’s balance control ability during STS movements. A humanjoint torque observer is designed to estimate the joint torquesdeveloped by the wearer using joint position kinematics instead ofelectromyography (EMG) or force sensors; a time-varying desiredimpedance model is proposed according to the wearer’s lowerlimb motion ability. A virtual environmental force is designedfor the balance reinforcement control. Stability and robustness ofthe proposed method are theoretically analyzed. Simulations wereimplemented to illustrate the characteristics and performance ofthe proposed approach. Experiments with four healthy subjectswere carried out to evaluate the effectiveness of the proposedmethod and show satisfactory results in terms of appropriatepower assist and balance reinforcement.
  • Journal article
    Rezvani R, Barnaghi P, Enshaeifar S, 2021,

    A New Pattern Representation Method for Time-Series Data

    , IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, Vol: 33, Pages: 2818-2832, ISSN: 1041-4347
  • Journal article
    Qiu M, Thuraisingham B, Daneshmand M, Ning H, Barnaghi Pet al., 2021,

    Guest Editorial: Special Issue on Robustness and Efficiency in the Convergence of Artificial Intelligence and IoT

    , IEEE INTERNET OF THINGS JOURNAL, Vol: 8, Pages: 9460-9462, ISSN: 2327-4662

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Awards

  • Finalist: Best Paper - IEEE Transactions on Mechatronics (awarded June 2021)

  • Finalist: IEEE Transactions on Mechatronics; 1 of 5 finalists for Best Paper in Journal

  • Winner: UK Institute of Mechanical Engineers (IMECHE) Healthcare Technologies Early Career Award (awarded June 2021): Awarded to Maria Lima (UKDRI CR&T PhD candidate)

  • Winner: Sony Start-up Acceleration Program (awarded May 2021): Spinout company Serg Tech awarded (1 of 4 companies in all of Europe) a place in Sony corporation start-up boot camp

  • “An Extended Complementary Filter for Full-Body MARG Orientation Estimation” (CR&T authors: S Wilson, R Vaidyanathan)