Dr Chandan Karmakar

Domain Agnostic Post-Processing for QRS Detection Using Recurrent Neural Network

Ahsan Habib, Chandan Karmakar, John Yearwood

(2023), pp. 1-13, IEEE Journal of Biomedical and Health Informatics, C1

Design and development of a smartphone app for hypertension management: An intervention mapping approach

Elton Lobo, Chandan Karmakar, Mohamed Abdelrazek, Jemal Abawajy, Clara Chow, Yuxin Zhang, Muhammad Kabir, Reza Daryabeygi, Ralph Maddison, Sheikh Islam

(2023), Vol. 11, pp. 01-15, Frontiers in Public Health, Lausanne, Switzerland, C1

Multi-stage sleep classification using photoplethysmographic sensor

Mohammod Motin, Chandan Karmakar, Marimuthu Palaniswami, Thomas Penzel, Dinesh Kumar

(2023), Vol. 10, pp. 1-17, Royal Society Open Science, London, Eng., C1

Individual and Conjoint Factors Associated With Beliefs About the Harmfulness of Nicotine Replacement Therapies Relative to Combustible Cigarettes Among People Who Smoke: Findings From the 2020 ITC Four Country Smoking and Vaping Survey

Hua-Hie Yong, Chandan Karmakar, Mohammod Motin, Ron Borland, K Cummings, Shannon Gravely, Geoffrey Fong

(2023), Vol. 25, pp. 1594-1602, Nicotine and Tobacco Research, Oxford, Eng., C1

Use of Ensemble Learning to Detect Buffer Overflow Exploitation

A Youssef, M Abdelrazek, C Karmakar

(2023), Vol. 11, pp. 52009-52025, IEEE Access, Piscataway, N.J., C1

Measurement of stress-induced sympathetic nervous activity using multi-wavelength PPG

Radhagayathri Udhayakumar, Saifur Rahman, Dilpreet Buxi, Vaughan Macefield, Tye Dawood, Nicholas Mellor, Chandan Karmakar

(2023), Vol. 10, pp. 1-17, Royal Society Open Science, London, Eng., C1

Detection of fetal arrhythmias in non-invasive fetal ECG recordings using data-driven entropy profiling

E Keenan, C Karmakar, R Udhayakumar, F Brownfoot, I Lakhno, V Shulgin, J Behar, M Palaniswami

(2022), Vol. 43, pp. 1-13, Physiological Measurement, Bristol, Eng., C1

Robustness of electrocardiogram signal quality indices

S Rahman, C Karmakar, I Natgunanathan, J Yearwood, M Palaniswami

(2022), Vol. 19, pp. 1-15, Journal of the Royal Society Interface, London, Eng., C1

Wearable cuffless blood pressure monitoring devices: a systematic review and meta-analysis

Sheikh Islam, Clara Chow, Reza Daryabeygikhotbehsara, Narayan Subedi, Jonathan Rawstorn, Teketo Tegegne, Chandan Karmakar, Muhammad Siddiqui, Gavin Lambert, Ralph Maddison

(2022), Vol. 3, pp. 323-337, European Heart Journal - Digital Health, Oxford, England, C1

Interpretability and Optimisation of Convolutional Neural Networks Based on Sinc-Convolution

A Habib, C Karmakar, J Yearwood

(2022), Vol. PP, pp. 1-12, IEEE Journal of Biomedical and Health Informatics, United States, C1

Scalable Cluster Tendency Assessment for Streaming Activity Data using Recurring Shapelets

S Datta, C Karmakar, P Rathore, M Palaniswami

(2022), Vol. 2022-July, pp. 1036-1040, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Piscataway, N.J., C1-1

A Real-Time Tunable ECG Noise-Aware System for IoT-Enabled Devices

S Rahman, C Karmakar, J Yearwood, M Palaniswami

(2022), Vol. 22, pp. 23277-23285, IEEE Sensors Journal, C1

Performance of a Convolutional Neural Network Derived from PPG Signal in Classifying Sleep Stages

A Habib, M Motin, T Penzel, M Palaniswami, J Yearwood, C Karmakar

(2022), Vol. PP, pp. 1-15, IEEE Transactions on Biomedical Engineering, United States, C1

Differentiating acute from chronic insomnia with machine learning from actigraphy time series data

S Rani, S Shelyag, C Karmakar, Ye Zhu, R Fossion, J Ellis, S Drummond, M Angelova

(2022), Vol. 2, pp. 1-15, Frontiers in Network Physiology, Lausanne, Switzerland, C1

Novel Measures of Similarity and Asymmetry in Upper Limb Activities for Identifying Hemiparetic Severity in Stroke Survivors

S Datta, C Karmakar, B Yan, M Palaniswami

(2021), Vol. 25, pp. 1964-1974, IEEE Journal of Biomedical and Health Informatics, United States, C1

Identifying factors that conjointly influence nicotine vaping product relative harm perception among smokers and recent ex-smokers: Findings from the 2016 ITC Four Country Smoking and Vaping Survey

H Yong, C Karmakar, M Motin, R Borland, T Elton-Marshall, K Cummings, G Fong, M Thompson

(2021), Vol. 218, Drug and Alcohol Dependence, Ireland, C1

Upper limb movement profiles during spontaneous motion in acute stroke

S Datta, C Karmakar, A Rao, B Yan, M Palaniswami

(2021), Vol. 42, Physiological Measurement, England, C1

Personalized Anatomic Modeling for Noninvasive Fetal ECG: Methodology and Applications

E Keenan, C Karmakar, F Brownfoot, M Palaniswami

(2021), Vol. 70, IEEE Transactions on Instrumentation and Measurement, C1

Lempel-Ziv complexity of the pNNx statistics - an application to neonatal stress

M Šapina, C Karmakar, K Kramarić, M Kośmider, M Garcin, D Brdarić, K Milas, J Yearwood

(2021), Vol. 146, Chaos, Solitons and Fractals, C1

Detection of coronary artery disease using multi-domain feature fusion of multi-channel heart sound signals

T Liu, P Li, Y Liu, H Zhang, Y Li, Y Jiao, C Liu, C Karmakar, X Liang, M Ren, X Wang

(2021), Vol. 23, Entropy, Switzerland, C1

A machine learning model for multi-night actigraphic detection of chronic insomnia: Development and validation of a pre-screening tool

S Kusmakar, C Karmakar, Y Zhu, S Shelyag, S Drummond, J Ellis, M Angelova

(2021), Vol. 8, Royal Society Open Science, England, C1

Deep learning algorithms for cyber security applications: A survey

G Li, P Sharma, L Pan, S Rajasegarar, C Karmakar, N Patterson

(2021), Vol. 29, pp. 447-471, Journal of Computer Security, C1

A Survey on Anomalous Behavior Detection for Elderly Care Using Dense-Sensing Networks

S Deep, X Zheng, C Karmakar, D Yu, L Hamey, J Jin

(2020), Vol. 22, pp. 352-370, IEEE Communications Surveys and Tutorials, C1

Identifying smoker subgroups with high versus low smoking cessation attempt probability: A decision tree analysis approach

H Yong, C Karmakar, R Borland, S Kusmakar, M Fuller-Tyszkiewicz, J Yearwood

(2020), Vol. 103, Addictive Behaviors, England, C1

Automated scoring of hemiparesis in acute stroke from measures of upper limb co-ordination using wearable accelerometry

Shreyasi Datta, Chandan Karmakar, Aravinda Rao, Bernard Yan, Marimuthu Palaniswami

(2020), Vol. 28, pp. 805-816, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Piscataway, N.J., C1

A fusion framework based on multi-domain features and deep learning features of phonocardiogram for coronary artery disease detection

H Li, X Wang, C Liu, Q Zeng, Y Zheng, X Chu, L Yao, J Wang, Y Jiao, C Karmakar

(2020), Vol. 120, Computers in Biology and Medicine, United States, C1

Automated Method for Detecting Acute Insomnia Using Multi-Night Actigraphy Data

M Angelova, C Karmakar, Y Zhu, S Drummond, J Ellis

(2020), Vol. 8, pp. 74413-74422, IEEE Access, C1

Precision psychiatry with immunological and cognitive biomarkers: a multi-domain prediction for the diagnosis of bipolar disorder or schizophrenia using machine learning

B Fernandes, C Karmakar, R Tamouza, T Tran, J Yearwood, N Hamdani, H Laouamri, J Richard, R Yolken, M Berk, S Venkatesh, M Leboyer

(2020), Vol. 10, Translational Psychiatry, United States, C1

Photoplethysmographic-based automated sleep-wake classification using a support vector machine

M Abdul Motin, C Kamakar, P Marimuthu, T Penzel

(2020), Vol. 41, Physiological Measurement, England, C1

Remote health diagnosis and monitoring in the time of COVID-19

J Behar, C Liu, K Kotzen, K Tsutsui, V Corino, J Singh, M Pimentel, P Warrick, S Zaunseder, F Andreotti, D Sebag, G Kopanitsa, P McSharry, W Karlen, C Karmakar, G Clifford

(2020), Vol. 41, Physiological Measurement, England, C1

Modified distribution entropy as a complexity measure of heart rate variability (HRV) signal

R Udhayakumar, C Karmakar, P Li, X Wang, M Palaniswami

(2020), Vol. 22, Entropy, Switzerland, C1

Robust patient information embedding and retrieval mechanism for ECG signals

I Natgunanathan, C Karmakar, S Rajasegarar, T Zong, A Habib

(2020), Vol. 8, pp. 181233-181245, IEEE Access, C1

Entropy profiling: A reduced-parametric measure of kolmogorov-sinai entropy from short-term hrv signal

C Karmakar, R Udhayakumar, M Palaniswami

(2020), Vol. 22, pp. 1-28, Entropy, Switzerland, C1

Bivariate entropy analysis of electrocardiographic rr-qt time series

B Shi, M Motin, X Wang, C Karmakar, P Li

(2020), Vol. 22, pp. 1-9, Entropy, Switzerland, C1

Automated detection of convulsive seizures using a wearable accelerometer device

S Kusmakar, C Karmakar, B Yan, T O'Brien, R Muthuganapathy, M Palaniswami

(2019), Vol. 66, pp. 421-432, IEEE Transactions on Biomedical Engineering, United States, C1

Novel features for capturing temporal variations of rhythmic limb movement to distinguish convulsive epileptic and psychogenic nonepileptic seizures

S Kusmakar, C Karmakar, B Yan, R Muthuganapathy, P Kwan, T O'Brien, M Palaniswami

(2019), Vol. 60, pp. 165-174, Epilepsia, United States, C1

Impacts of reference points and reference lines on the slope- and area-based heart rate asymmetry analysis

C Yan, P Li, L Yao, C Karmakar, C Liu

(2019), Vol. 137, pp. 515-526, Measurement, Amsterdam, The Netherlands, C1

Selection of empirical mode decomposition techniques for extracting breathing rate from PPG

M Motin, C Karmakar, M Palaniswami

(2019), Vol. 26, pp. 592-596, IEEE signal processing letters, Piscataway, N.J., C1

PPG derived heart rate estimation during intensive physical exercise

Mohammod Motin, Chandan Karmakar, Marimuthu Palaniswami

(2019), Vol. 7, pp. 56062-56069, IEEE access, Piscataway, N.J., C1

Multiscale entropy profiling to estimate complexity of heart rate dynamics

R Udhayakumar, C Karmakar, M Palaniswami

(2019), Vol. 100, Physical Review E, United States, C1

Impact of ECG dataset diversity on generalization of CNN model for detecting QRS complex

Ahsan Habib, Chandan Karmakar, John Yearwood

(2019), Vol. 7, pp. 93275-93285, IEEE access, Piscataway, N.J., C1

A self-compassion group intervention for patients living with chronic medical illness: treatment development and feasibility study

L Brown, C Karmakar, M Flynn, M Motin, M Palaniswami, C Celano, J Huffman, C Bryant

(2019), Vol. 21, The primary care companion for CNS disorders, Memphis, Tenn., C1

Validation and acceptability of a cuffless wrist-worn wearable blood pressure monitoring device among users and health care professionals: Mixed methods study

S Islam, S Cartledge, C Karmakar, J Rawstorn, S Fraser, C Chow, R Maddison

(2019), Vol. 7, JMIR mHealth and uHealth, Canada, C1

Short-term QT interval variability in patients with coronary artery disease and congestive heart failure: a comparison with healthy control subjects

Y Li, P Li, X Wang, C Karmakar, C Liu, C Liu

(2019), Vol. 57, pp. 389-400, Medical and Biological Engineering and Computing, United States, C1

Ensemble empirical mode decomposition with principal component analysis: a novel approach for extracting respiratory rate and heart rate from photoplethysmographic signal

M Motin, C Karmakar, M Palaniswami

(2018), Vol. 22, pp. 766-774, IEEE Journal of Biomedical and Health Informatics, United States, C1

Blockade of the angiotensin system improves mental health domain of quality of life: A meta-analysis of randomized clinical trials

D Brownstein, E Salagre, C Köhler, B Stubbs, J Vian, C Pereira, V Chavarria, C Karmakar, A Turner, J Quevedo, A Carvalho, M Berk, B Fernandes

(2018), Vol. 52, pp. 24-38, Australian and New Zealand Journal of Psychiatry, England, C1

Understanding irregularity characteristics of short-term HRV signals using sample entropy profile

R Udhayakumar, C Karmakar, M Palaniswami

(2018), Vol. 65, pp. 2569-2579, IEEE Transactions on Biomedical Engineering, United States, C1

Detection of epileptic seizure based on entropy analysis of short-term EEG

P Li, C Karmakar, J Yearwood, S Venkatesh, M Palaniswami, C Liu

(2018), Vol. 13, PLoS ONE, United States, C1

Heart rate variability alterations in late life depression: A meta-analysis

L Brown, C Karmakar, R Gray, R Jindal, T Lim, C Bryant

(2018), Vol. 235, pp. 456-466, Journal of Affective Disorders, Netherlands, C1

Does the Temporal Asymmetry of Short-Term Heart Rate Variability Change during Regular Walking? A Pilot Study of Healthy Young Subjects

X Wang, C Yan, B Shi, C Liu, C Karmakar, P Li

(2018), Vol. 2018, Computational and Mathematical Methods in Medicine, United States, C1

Multi-lag tone-entropy in neonatal stress

M Šapina, C Karmakar, K Kramarić, M Garcin, P Adelson, K Milas, M Pirić, D Brdarić, J Yearwood

(2018), Vol. 15, Journal of the Royal Society Interface, England, C1

The effects of asymmetric volume conductor modeling on non-invasive fetal ECG extraction

E Keenan, C Karmakar, M Palaniswami

(2018), Vol. 39, Physiological Measurement, England, C1

Approximate entropy profile: a novel approach to comprehend irregularity of short-term HRV signal

R Udhayakumar, C Karmakar, M Palaniswami

(2017), Vol. 88, pp. 823-837, Nonlinear dynamics, Dordrecht, The Netherlands, C1

Area asymmetry of heart rate variability signal

C Yan, P Li, L Ji, L Yao, C Karmakar, C Liu

(2017), Vol. 16, BioMedical Engineering Online, England, C1

Stability, consistency and performance of distribution entropy in analysing short length heart rate variability (HRV) signal

C Karmakar, R Udhayakumar, P Li, S Venkatesh, M Palaniswami

(2017), Vol. 8, Frontiers in Physiology, Switzerland, C1

Detecting subclinical diabetic cardiac autonomic neuropathy by analyzing ventricular repolarization dynamics

M Imam, C Karmakar, H Jelinek, M Palaniswami, A Khandoker

(2016), Vol. 20, pp. 64-72, IEEE Journal of Biomedical and Health Informatics, United States, C1

Methodological comparisons of heart rate variability analysis in patients with type 2 diabetes and angiotensin converting enzyme polymorphism

F Marzbanrad, A Khandoker, B Hambly, E Ng, M Tamayo, Y Lu, S Matthews, C Karmakar, M Palaniswami, H Jelinek, C McLachlan

(2016), Vol. 20, pp. 55-63, IEEE journal of biomedical and health informatics, Piscataway, N.J., C1-1

Classification of 5-S epileptic EEG recordings using distribution entropy and sample entropy

P Li, C Karmakar, C Yan, M Palaniswami, C Liu

(2016), Vol. 7, Frontiers in Physiology, Switzerland, C1

Predicting Risk of Suicide Attempt Using History of Physical Illnesses From Electronic Medical Records

C Karmakar, W Luo, T Tran, M Berk, S Venkatesh

(2016), Vol. 3, JMIR Mental Health, Canada, C1

C-reactive protein concentrations across the mood spectrum in bipolar disorder: a systematic review and meta-analysis

B Fernandes, J Steiner, M Molendijk, S Dodd, P Nardin, C Gonçalves, F Jacka, C Köhler, C Karmakar, A Carvalho, M Berk

(2016), Vol. 3, pp. 1147-1156, The Lancet Psychiatry, England, C1

Guidelines for developing and reporting machine learning predictive models in biomedical research: A multidisciplinary view

W Luo, D Phung, T Tran, S Gupta, S Rana, C Karmakar, A Shilton, J Yearwood, N Dimitrova, T Ho, S Venkatesh, M Berk

(2016), Vol. 18, Journal of Medical Internet Research, Canada, C1

Phase asymmetry of heart rate variability signal

C Karmakar, A Khandoker, M Palaniswami

(2015), Vol. 36, pp. 303-314, Physiological measurement, Bristol, Eng., C1-1

Tone entropy analysis of foetal heart rate variability

A Khandoker, C Karmakar, Y Kimura, M Endo, S Oshio, M Palaniswami

(2015), Vol. 17, pp. 1042-1053, Entropy, Basel, Switzerland, C1

Analysis of fetal heart rate asymmetry before and after 35 weeks of gestation

C Karmakar, Y Kimura, M Palaniswami, A Khandoker

(2015), Vol. 21, pp. 43-48, Biomedical signal processing and control, Amsterdam, The Netherlands, C1

Analyzing systolic-diastolic interval interaction characteristics in diabetic cardiac autonomic neuropathy progression

M Imam, C Karmakar, H Jelinek, M Palaniswami, A Khandoker

(2015), Vol. 3, pp. 1-10, IEEE journal of translational engineering in health and medicine, Piscataway, N.J., C1-1

Temporal dynamics of the circadian heart rate following low and high volume exercise training in sedentary male subjects

H Jelinek, C Karmakar, A Kiviniemi, A Hautala, M Tulppo, T Mäkikallio, H Huikuri, A Khandoker, M Palaniswami

(2015), Vol. 115, pp. 2069-2080, European journal of applied physiology, Berlin, Germany, C1-1

Retinal artery and venular caliber grading: a semi-automated evaluation tool

A Bhuiyan, C Karmakar, R Kawasaki, E Lamoureux, K Ramamohanarao, Y Kanagasingam, T Wong

(2014), Vol. 44, pp. 1-9, Computers in biology and medicine, Amsterdam, The Netherlands, C1-1

Effect of ECG-derived respiration (EDR) on modeling ventricular repolarization dynamics in different physiological and psychological conditions

M Imam, C Karmakar, A Khandoker, M Palaniswami

(2014), Vol. 52, pp. 851-860, Medical and biological engineering and computing, Berlin, Germany, C1-1

Understanding ageing effects using complexity analysis of foot-ground clearance during walking

C Karmakar, A Khandoker, R Begg, M Palaniswami

(2013), Vol. 16, pp. 554-564, Computer methods in biomechanics and biomedical engineering, Abingdon, Eng., C1-1

Investigating relative respiratory effort signals during mixed sleep apnea using photoplethysmogram

A Khandoker, C Karmakar, T Penzel, M Glos, M Palaniswami

(2013), Vol. 41, pp. 2229-2236, Annals of biomedical engineering, New York, N.Y., C1-1

Risk stratification of cardiac autonomic neuropathy based on multi-lag tone-entropy

C Karmakar, A Khandoker, H Jelinek, M Palaniswami

(2013), Vol. 51, pp. 537-546, Medical & biological engineering & computing, Berlin, Germany, C1-1

Investigating the changes in heart rate asymmetry (HRA) with perturbation of parasympathetic nervous system

C Karmakar, A Khandoker, M Palaniswami

(2012), Vol. 35, pp. 465-474, Australasian physical and engineering sciences in medicine, Amsterdam, The Netherlands, C1-1

Sensitivity of temporal heart rate variability in Poincaré plot to changes in parasympathetic nervous system activity

C Karmakar, A Khandoker, A Voss, M Palaniswami

(2011), Vol. 10, pp. 1-14, Biomedical engineering online, London, Eng., C1-1

Comparison of pulse rate variability with heart rate variability during obstructive sleep apnea

A Khandoker, C Karmakar, M Palaniswami

(2011), Vol. 33, pp. 204-209, Medical engineering & physics, Amsterdam, The Netherlands, C1-1

Toe clearance and velocity profiles of young and elderly during walking on sloped surfaces

A Khandoker, K Lynch, C Karmakar, R Begg, M Palaniswami

(2010), Vol. 7, pp. 1-10, Journal of neuroengineering and rehabilitation, London, Eng., C1-1

Complex correlation measure: a novel descriptor for Poincaré plot

C Karmakar, A Khandoker, J Gubbi, M Palaniswami

(2009), Vol. 8, pp. 1-12, Biomedical engineering online, London, Eng., C1-1

Defining asymmetry in heart rate variability signals using a Poincaré plot

C Karmakar, A Khandoker, J Gubbi, M Palaniswami

(2009), Vol. 30, pp. 1227-1240, Physiological measurement, Bristol, Eng., C1-1

Automated recognition of patients with obstructive sleep apnoea using wavelet-based features of electrocardiogram recordings

A Khandoker, C Karmakar, M Palaniswami

(2009), Vol. 39, pp. 88-96, Computers in biology and medicine, Amsterdam, The Netherlands, C1-1

Investigating scale invariant dynamics in minimum toe clearance variability of the young and elderly during treadmill walking

A Khandoker, S Taylor, C Karmakar, R Begg, M Palaniswami

(2008), Vol. 16, pp. 380-389, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Piscataway, N.J., C1-1