Purbanka Pahari

Purbanka Pahari
  • Master of Engineering
  • Researcher at University of Eastern Finland

About

10
Publications
803
Reads
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42
Citations
Introduction
Obstructive Sleep Apnea, Daytime Somnolence, Desaturation Severity
Current institution
University of Eastern Finland
Current position
  • Researcher
Additional affiliations
November 2020 - present
University of Eastern Finland
Position
  • Researcher
Description
  • PhD Scholar
Education
July 2016 - July 2018
Jadavpur University
Field of study
  • Biomedical Engineering

Publications

Publications (10)
Article
Full-text available
Intermittent hypoxemia is closely associated with cardiovascular dysfunction and may be a more accurate indicator of OSA severity than conventional metrics. Another key factor is the lung-to-finger circulation time (LFCt), defined as the duration from the cessation of a respiratory event to the lowest point of oxygen desaturation. LFCt serves as a...
Article
Full-text available
Oxygen saturation (SpO2 )-based parameters are more strongly linked to impaired daytime vigilance than the conventional diagnostic metrics in patients with obstructive sleep apnea (OSA). However, whether the association between SpO2 -based parameters and impaired daytime vigilance is modulated by sex, remains unknown. Hence, we investigated the int...
Article
Obstructive sleep apnea (OSA)‐related intermittent hypoxaemia is a potential risk factor for different OSA comorbidities, for example cardiovascular disease. However, conflicting results are found as to whether intermittent hypoxaemia is associated with impaired vigilance. Therefore, we aimed to investigate how desaturation characteristics differ b...
Article
Finding components from multi-channel EEG signal for localizing and detection of onset of seizure, is a new approach in biomedical signal analysis. Tensor-based approaches are utilized to fit the components into multi-dimensional arrays in recent works. We initially decompose EEG signals into Beta band using discrete wavelet transform (DWT). We com...
Preprint
Full-text available
Background: Finding components from multi-channel EEG signal for localizing and detection of onset of seizure is a new approach in biomedical signal analysis. Tensor-based approaches are utilized to fit the components into multi-dimensional array in recent works. Method: We initially decompose EEG signals into Beta band using Discrete Wavelet Trans...
Article
Malignancy order is an imperative advance in biomarker distinguishing proof. Creating machine learning techniques that effectively anticipate tumor subtypes can help in distinguishing potential disease biomark-ers. In this critique, we have introduced ensemble classification approach and contrasted its execution with other characterization approach...
Article
Full-text available
Biodegradable composite biomaterials play a pivotal role in the healthcare and addressing many challenging issues. Present study reports on the synthesis and characterization of hydroxyapatite (HAP) and gelatine-PVA composite, analyses the incorporation of HAP in gelatine-PVA and investigating their biocompatibility and mechanical properties. The m...

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