Search Results - "Karmakar, Chandan K."

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  1. 1

    Complex correlation measure: a novel descriptor for Poincaré plot by Karmakar, Chandan K, Khandoker, Ahsan H, Gubbi, Jayavardhana, Palaniswami, Marimuthu

    Published in Biomedical engineering online (13-08-2009)
    “…Poincaré plot is one of the important techniques used for visually representing the heart rate variability. It is valuable due to its ability to display…”
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    Journal Article
  2. 2

    Sensitivity of temporal heart rate variability in Poincaré plot to changes in parasympathetic nervous system activity by Karmakar, Chandan K, Khandoker, Ahsan H, Voss, Andreas, Palaniswami, Marimuthu

    Published in Biomedical engineering online (03-03-2011)
    “…A novel descriptor (Complex Correlation Measure (CCM)) for measuring the variability in the temporal structure of Poincaré plot has been developed to…”
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    Journal Article
  3. 3

    Investigating Scale Invariant Dynamics in Minimum Toe Clearance Variability of the Young and Elderly During Treadmill Walking by Khandoker, Ahsan H., Taylor, Simon B., Karmakar, Chandan K., Begg, Rezaul K., Palaniswami, Marimuthu

    “…Current research applying variability measures of gait parameters has demonstrated promise for helping to solve one of the "holy grails" of geriatric research…”
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    Journal Article
  4. 4

    Automated Detection of Convulsive Seizures Using a Wearable Accelerometer Device by Kusmakar, Shitanshu, Karmakar, Chandan K., Yan, Bernard, O'Brien, Terence J., Muthuganapathy, Ramanathan, Palaniswami, Marimuthu

    “…Epileptic seizure detection requires specialized approaches such as video/electroencephalography monitoring. However, these approaches are restricted mainly to…”
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    Journal Article
  5. 5

    Toe clearance and velocity profiles of young and elderly during walking on sloped surfaces by Khandoker, Ahsan H, Lynch, Kate, Karmakar, Chandan K, Begg, Rezaul K, Palaniswami, Marimuthu

    “…Most falls in older adults are reported during locomotion and tripping has been identified as a major cause of falls. Challenging environments (e.g., walking…”
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    Journal Article
  6. 6

    Analyzing Systolic-Diastolic Interval Interaction Characteristics in Diabetic Cardiac Autonomic Neuropathy Progression by Imam, Mohammad Hasan, Karmakar, Chandan K., Jelinek, Herbert F., Palaniswami, Marimuthu, Khandoker, Ahsan H.

    “…Cardiac autonomic neuropathy (CAN), one of the major complications in diabetes, if detected at the subclinical stage allows for effective treatment and…”
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    Journal Article
  7. 7

    Novel Measures of Similarity and Asymmetry in Upper Limb Activities for Identifying Hemiparetic Severity in Stroke Survivors by Datta, Shreyasi, Karmakar, Chandan K., Yan, Bernard, Palaniswami, Marimuthu

    “…Stroke survivors are often characterized by hemiparesis , i.e. , paralysis in one half of the body, severely affecting upper limb movements. Monitoring the…”
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    Journal Article
  8. 8

    Automated Scoring of Hemiparesis in Acute Stroke From Measures of Upper Limb Co-Ordination Using Wearable Accelerometry by Datta, Shreyasi, Karmakar, Chandan K., Rao, Aravinda S., Yan, Bernard, Palaniswami, Marimuthu

    “…Stroke survivors usually experience paralysis in one half of the body, i.e., hemiparesis, and the upper limbs are severely affected. Continuous monitoring of…”
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    Journal Article
  9. 9

    Comparison of pulse rate variability with heart rate variability during obstructive sleep apnea by Khandoker, Ahsan H, Karmakar, Chandan K, Palaniswami, Marimuthu

    Published in Medical engineering & physics (01-03-2011)
    “…Abstract We investigate whether pulse rate variability (PRV) extracted from finger photo-plethysmography (Pleth) waveforms can be the substitute of heart rate…”
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    Journal Article
  10. 10

    Support Vector Machines for Automated Recognition of Obstructive Sleep Apnea Syndrome From ECG Recordings by Khandoker, A.H., Palaniswami, M., Karmakar, C.K.

    “…Obstructive sleep apnea syndrome (OSAS) is associated with cardiovascular morbidity as well as excessive daytime sleepiness and poor quality of life. In this…”
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    Journal Article
  11. 11

    Detecting Subclinical Diabetic Cardiac Autonomic Neuropathy by Analyzing Ventricular Repolarization Dynamics by Imam, Mohammad Hasan, Karmakar, Chandan K., Jelinek, Herbert F., Palaniswami, Marimuthu, Khandoker, Ahsan H.

    “…In this study, a linear parametric modeling technique was applied to model ventricular repolarization (VR) dynamics. Three features were selected from the…”
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    Journal Article
  12. 12

    Analyzing temporal variability of standard descriptors of Poincaré plots by Karmakar, Chandan K, Gubbi, Jayavardhana, Khandoker, Ahsan H, Palaniswami, Marimuthu

    Published in Journal of electrocardiology (01-11-2010)
    “…Abstract The Poincaré map is a visual technique to recognize the hidden correlation patterns of a time series signal. The standard descriptors of the Poincaré…”
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    Journal Article
  13. 13

    Automated recognition of patients with obstructive sleep apnoea using wavelet-based features of electrocardiogram recordings by Khandoker, Ahsan H, Karmakar, Chandan K, Palaniswami, Marimuthu

    Published in Computers in biology and medicine (01-01-2009)
    “…Abstract Patients with obstructive sleep apnoea syndrome (OSAS) are at increased risk of developing hypertension and other cardiovascular diseases. This paper…”
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    Journal Article
  14. 14

    Detection of generalized tonic-clonic seizures using short length accelerometry signal by Kusmakar, Shitanshu, Karmakar, Chandan K., Yan, Bernard, O'Brien, Terence J., Muthuganapathy, Ramanathan, Palaniswami, Marimuthu

    “…Epileptic seizures are characterized by the excessive and abrupt electrical discharge in the brain. This asynchronous firing of neurons causes unprovoked…”
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    Conference Proceeding Journal Article
  15. 15

    Averaging Methods using Dynamic Time Warping for Time Series Classification by Datta, Shreyasi, Karmakar, Chandan K., Palaniswami, Marimuthu

    “…Averaging is an important step in time series classi-fication or clustering, to create representative sequences for each category of data. A global averaging…”
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    Conference Proceeding
  16. 16

    Onset Detection of Epileptic Seizures From Accelerometry Signal by Kusmakar, Shitanshu, Karmakar, Chandan K., Yan, Bernard, O'Brien, Terence J., Muthuganapathy, Ramanathan, Palaniswami, Marimuthu

    “…Epileptic seizures are the result of any abnormal asynchronous firing of cortical neurons. Seizures are abrupt and pose a risk of injury and fatal harm to the…”
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    Conference Proceeding Journal Article
  17. 17

    Improved Detection and Classification of Convulsive Epileptic and Psychogenic Non-epileptic Seizures Using FLDA and Bayesian Inference by Kusmakar, Shitanshu, Karmakar, Chandan K., Yan, Bernard, O'Brien, Terence J., Palaniswami, Marimuthu, Muthuganapathy, Ramanathan

    “…A high number of patients with epileptic seizures (ES) are misdiagnosed due to prevalence of mimic conditions. The clinical characteristics of mimics are often…”
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    Conference Proceeding Journal Article
  18. 18

    Analyzing Distance Measures for Upper Limb Activity Measurement in Hemiparetic Stroke Patients by Datta, Shreyasi, Karmakar, Chandan K., Yan, Bernard, Palaniswami, Marimuthu

    “…Stroke survivors are often characterized by upper limb hemiparesis due to which activities in one of the hands is significantly restricted. Manual evaluation…”
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    Conference Proceeding
  19. 19

    Poincaré Descriptors for Identifying Hemiparesis in Acute Stroke using Wearable Accelerometry by Datta, Shreyasi, Karmakar, Chandan K., Yan, Bernard, Palaniswami, Marimuthu

    “…Stroke survivors are often characterized by hemiparesis, i.e., paralysis in one half of the body, that severely affects upper limb movements. Continuous…”
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    Conference Proceeding
  20. 20

    Entropy Profiling for Detection of Fetal Arrhythmias in Short Length Fetal Heart Rate Recordings by Keenan, Emerson, Udhayakumar, Radhagayrathi K., Karmakar, Chandan K., Brownfoot, Fiona C., Palaniswami, Marimuthu

    “…The use of fetal heart rate (FHR) recordings for assessing fetal wellbeing is an integral component of obstetric care. Recently, non-invasive fetal…”
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    Conference Proceeding