Browsing by Author "Panday, Deepak"

Now showing items 1-6 of 6

    • Beyond HRV. Extending the range of autonomic measures associated with heart rate variability – the effects of transcutaneous electroacupuncture (TEAS) 

      Mayor, David; Panday, Deepak; Steffert, Tony; Kandel, Hari Kala; Watson, Tim (2021-03-27)
      Background: Heart rate variability (HRV) is useful in acupuncture research as a measure of autonomic response. However, although it accurately reflects parasympathetic activity, there is less agreement on whether and how ...

    • CEPS: An Open Access MATLAB Graphical User Interface (GUI) for the Analysis of Complexity and Entropy in Physiological Signals 

      Mayor, David; Panday, Deepak; Kandel, Hari Kala; Steffert, Tony; Banks, Duncan; Watson, Tim (2021-03-08)
      Background: We developed CEPS as an open access MATLAB® GUI (graphical user interface) for the analysis of Complexity and Entropy in Physiological Signals (CEPS), and demonstrate its use with an example data set that shows ...

    • Complexity and Entropy in Physiological Signals (CEPS): Resonance Breathing Rate Assessed Using Measures of Fractal Dimension, Heart Rate Asymmetry and Permutation Entropy 

      Mayor, David; Steffert, Tony; Datseris, George; Firth, Andrea; Panday, Deepak; Kandel, Harikala; Banks, Duncan (2023-02-06)
      Background: As technology becomes more sophisticated, more accessible methods of interpretating Big Data become essential. We have continued to develop Complexity and Entropy in Physiological Signals (CEPS) as an open ...

    • Feature weighting as a tool for unsupervised feature selection 

      Panday, Deepak; Cordeiro De Amorim, Renato; Lane, Peter (2018-01-01)
      Feature selection is a popular data pre-processing step. The aim is to remove some of the features in a data set with minimum information loss, leading to a number of benefits including faster running time and easier data ...

    • Proceedings of Abstracts Engineering and Computer Science Research Conference 2019 

      Nwawe, Richard; Grasso, Marzio; CHEN, Yong Kang; Klusak, Jan; Rosiello, Vincenzo; Counsell, Nathan; Herfatmanesh, Mohammad Reza; Partou, Helen; Menon, Catherine; Barker, Trevor; Veneziano, Vito; Kirner, Raimund; Tveretina, Olga; Verma, Alok; Lane, Peter; Lilley, Mariana; Canoville, Paul; Robinson, Matthew; Crook, Brian; Hall, Samantha; Kaye, Richard; Johnston, Ian; McCluskey, Daniel; Tracey, Mark; Munro, Ian; Wang, Yuan; Suckow, Bjorn; Klaholz, Ingo; Drix, Damien; Hafner, Verena Vanessa; Schmuker, Michael; Sinha, Ankur; Metzner, Christoph; Davey, Neil; Adams, Roderick; Steuber, Volker; Miko, Rebecca; Toffe, Gilles; Ren, Guogang; Montalvão, Diogo; Ismail, Sikiru O.; Newman, James; Dhakal, Hom; Sunmola, Funlade; Panday, Deepak; Helian, Na; Amafabia, Daerefa-a; David-West, Opukuro; Haritos, George; Schirmer, Pascal; Mporas, Iosif; Skaltsas, Grigorios; Siadati, Rana; Wernick, Paul; Sutton, Samuel; Lekkala, Himayasri Rao; Sayers, Paul; Khan, Imran; Cañamero, Lola; Hassan, Eheda; Denai, Mouloud; Pissanidis, Georgios; Goncharenko, Julia; Schilstra, Maria; Beka, Nathan; te Boekhorst, Rene; Bonivart, Agnes; Nehaniv, Chrystopher; Kadir, Shabnam; Bhavsar, Ronakben; Sun, Yi; Mayor, David; Steffert, Tony; CHEN, Yong Kang; Chrysanthou, Andreas; Johnston, Ian; Kirner, Raimund; Kourtessis, Pandelis; McCluskey, Daniel; Polani, Daniel; Steuber, Volker; Sun, Yichuang (University of Hertfordshire, 2019-09-01)
      This book is the record of abstracts submitted and accepted for presentation at the Inaugural Engineering and Computer Science Research Conference held 17th April 2019 at the University of Hertfordshire, Hatfield, UK. This ...

    • Using Feature Weighting as a Tool for Clustering Applications 

      Panday, Deepak (2021-10-24)
      The weighted variant of k-Means (Wk-Means), which assigns values to features based on their relevance, is a well-known approach to address the shortcoming of k-Means with data containing noisy and irrelevant features. This ...