New Entropy Measures of Short Term Signals for Smart Wearable Devices

Grant number: DP190101248 | Funding period: 2019 - 2022

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Abstract

This project aims to improve reliability and accuracy of wearable devices by developing a new set of computationally efficient algorithms. Wearable devices can be very effective in remote and continuous monitoring to detect short or bursty anomalous events. Present devices are unable to detect such events effectively due to limited capability in processing short length signal. This project will provide computationally efficient algorithms for signal quality analysis and enhanced feature extraction methods in resource constrained wearable devices. This will improve the reliability and performance of wearable devices for adoption in intelligent decision-making systems.

Related publications (6)

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

Shreyasi Datta, Chandan K Karmakar, Bernard Yan, Marimuthu Palaniswami

2021-06-01

Stroke survivors are often characterized by hemiparesis, i.e., paralysis in one half of the body, severely affecting upper limb mo..

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Entropy Profiling: A Reduced-Parametric Measure of Kolmogorov-Sinai Entropy from Short-Term HRV Signal

Chandan Karmakar, Radhagayathri Udhayakumar, Marimuthu Palaniswami

2020-12-01

Entropy profiling is a recently introduced approach that reduces parametric dependence in traditional Kolmogorov-Sinai (KS) entrop..

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Modified Distribution Entropy as a Complexity Measure of Heart Rate Variability (HRV) Signal

Radhagayathri Udhayakumar, Chandan Karmakar, Peng Li, Xinpei Wang, Marimuthu Palaniswami

2020-10-01

The complexity of a heart rate variability (HRV) signal is considered an important nonlinear feature to detect cardiac abnormaliti..

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Automated Scoring of Hemiparesis in Acute Stroke From Measures of Upper Limb Co-Ordination Using Wearable Accelerometry.

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

2020-04-01

Stroke survivors usually experience paralysis in one half of the body, i.e., hemiparesis, and the upper limbs are severely affecte..

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Entropy Profiling for Detection of Fetal Arrhythmias in Short Length Fetal Heart Rate Recordings

Emerson Keenan, Radhagayrathi K Udhayakumar, Chandan K Karmakar, Fiona C Brownfoot, Marimuthu Palaniswami

2020-01-01

The use of fetal heart rate (FHR) recordings for assessing fetal wellbeing is an integral component of obstetric care. Recently, n..

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PPG Derived Heart Rate Estimation During Intensive Physical Exercise

Mohammod Abdul Motin, Chandan Kumar Karmakar, Marimuthu Palaniswami

2019-01-01

Accurate and reliable estimation of heart rate (HR) from photoplethysmographic (PPG) signals during moderate and vigorous physical..

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