Rishikesan Kamaleswaran

Assistant Professor

  • 46 Citations
  • 4 h-Index
20092019
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Fingerprint Dive into the research topics where Rishikesan Kamaleswaran is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Critical Care Medicine & Life Sciences
Electrocardiography Engineering & Materials Science
Decision support systems Engineering & Materials Science
Sepsis Medicine & Life Sciences
Atrial Fibrillation Medicine & Life Sciences
Patient monitoring Engineering & Materials Science
Processing Engineering & Materials Science
Intensive care units Engineering & Materials Science

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Research Output 2009 2019

  • 46 Citations
  • 4 h-Index
  • 14 Conference contribution
  • 10 Article
  • 1 Conference article
1 Citation (Scopus)

A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier

van Wyk, F., Khojandi, A., Mohammed, A., Begoli, E., Davis, R. & Kamaleswaran, R., Feb 1 2019, In : International Journal of Medical Informatics. 122, p. 55-62 8 p.

Research output: Contribution to journalArticle

Sepsis
Critical Illness
Health Care Costs
Mortality

Improving Prediction Performance Using Hierarchical Analysis of Real-Time Data: A Sepsis Case Study

Van Wyk, F., Khojandi, A. & Kamaleswaran, R., May 1 2019, In : IEEE Journal of Biomedical and Health Informatics. 23, 3, p. 978-986 9 p., 8624374.

Research output: Contribution to journalArticle

Sepsis
Systemic Inflammatory Response Syndrome
Learning systems
Intensive care units
Learning algorithms
3 Citations (Scopus)

Physonline: An open source machine learning pipeline for real-time analysis of streaming physiological waveform

Sutton, J. R., Mahajan, R., Akbilgic, O. & Kamaleswaran, R., Jan 1 2019, In : IEEE Journal of Biomedical and Health Informatics. 23, 1, p. 59-65 7 p., 8353460.

Research output: Contribution to journalArticle

Learning systems
Pipelines
Feature extraction
Pattern matching
Electrocardiography

A hybrid feature extraction method to detect Atrial Fibrillation from single lead ECG recording

Mahajan, R., Kamaleswaran, R. & Akbilgic, O., Apr 6 2018, 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 116-119 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Electrocardiography
Atrial Fibrillation
Feature extraction
Entropy
Lead