Melpo Pittara

ORCID: 0000-0001-6017-0843
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About
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Research Areas
  • Non-Invasive Vital Sign Monitoring
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Pain Management and Placebo Effect
  • Cancer survivorship and care
  • Meningioma and schwannoma management
  • Cardiac Arrhythmias and Treatments
  • ECG Monitoring and Analysis
  • Heart Rate Variability and Autonomic Control
  • Pediatric Pain Management Techniques
  • Cardiovascular Health and Disease Prevention
  • Chromatin Remodeling and Cancer
  • Neurofibromatosis and Schwannoma Cases
  • Infrared Thermography in Medicine
  • Pain Management and Opioid Use
  • Thermal Regulation in Medicine
  • Intramuscular injections and effects
  • Pain Mechanisms and Treatments
  • Psychosomatic Disorders and Their Treatments

University of Groningen
2020-2024

University of Cyprus
2020

A Guideline Group (GG) was convened from multiple specialties and patients to develop the first comprehensive schwannomatosis guideline. The GG undertook thorough literature review wrote recommendations for treatment surveillance. modified Delphi process used gain approval which were further altered maximal consensus. Schwannomatosis is a tumour predisposition syndrome leading development of benign nerve-sheath non-intra-cutaneous schwannomas that infrequently affect vestibulocochlear...

10.1038/s41431-022-01086-x article EN cc-by European Journal of Human Genetics 2022-04-01

A new method for deriving pulse rate from PPG obtained ambulatory patients is presented. The employs Ensemble Empirical Mode Decomposition to identify the pulsatile component noise-corrupted PPG, and then uses a set of physiologically-relevant rules followed by adaptive thresholding, in order estimate presence noise. was optimized validated using 63 hours data hospital patients. F1 score with respect expertly annotated 0.857 mean absolute errors estimated rates heart ECG collected parallel...

10.1109/embc.2017.8037467 article EN 2017-07-01

10.1109/ieeeconf60004.2024.10942832 article EN 2014 48th Asilomar Conference on Signals, Systems and Computers 2024-10-27

Estimation of pulse rate from a wrist-type PPG during motion is notoriously difficult problem because the presence artifact (MA) which corrupts signal in both time and frequency domains. In this paper, we propose new method for deriving under intense exercise conditions employs Ensemble Empirical Mode Decomposition power spectral analysis to extract pulsatile component signal. The was validated on an openly available database containing ground-truth ECG-derived measurements 12 subjects...

10.1109/embc.2018.8513584 article EN 2018-07-01

<sec> <title>BACKGROUND</title> Pulmonary rehabilitation is a vital component of comprehensive care for patients with respiratory conditions, such as lung cancer, chronic obstructive pulmonary disease, and asthma, those recovering from diseases like COVID-19. It aims to enhance patients’ functional ability quality life, reduce symptoms, stress, anxiety, pain. Virtual reality novel technology that offers new opportunities customized implementation self-control through patient engagement....

10.2196/preprints.47114 preprint EN 2023-03-09
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