Sleep Apnea Syndrome Detection Techniques Using ECG Signal Recordings – A Survey Approach

Abstract

A type of sleep disorder or syndrome which is characterized by the breaks in respiratory breathing process or occurrences of uncommon or superficial breathing during sleep is called sleep apnea disorder. Since for the last few years various signals [such as Polysomnographic signals, EEG signals, Respiratory signals, ECG signals etc] have been used for the detection of sleep apnea syndrome or disorder. But ECG signal recordings have been found effective and efficient for the diagnosis process. Various models and algorithms have been developed using ECG signal recordings to detect sleep apnea disorder. This paper focus on the survey of different techniques developed to detect sleep apnea disorder and a comparative analysis has been prepared between the different techniques used.

Authors and Affiliations

Rishika Kaloniya, Pooja Sabherwal

Keywords

Related Articles

The Interrelation between the Shape of a Building and its Potential Energy Performance

Morocco is highly dependent on imported energy. Over 91% of energy supplied comes from abroad. However, renewable energy in this country may represent significant deposits as an Alternative energy. Indeed, an effective...

Theory and Properties of Binary Relations

Apart from being the most common and easy topic, Relations and function still have got their own complexities to which most of the people are unfamiliar with. This paper is going to be a future reference for all those w...

Augmented Reality: Home Interior Application

Augmented reality (AR) is a field of computer science research that combines real world and digital data. Augmented reality is an efficient visualisation technique for on-site 3D visualization and location-based service...

Analysis of Web Log Server Files of E-Commerce Websites to Study Customer Behavior Pattern

web usage mining refers to the automatic discovery and analysis of patterns in click stream and related data collected or generated as a result of user interactions with web resources on one or more websites. It consist...

Chunked N-Grams for Sentence Validation

This paper deals with Sentence Validation - a sub-field of Natural Language Processing. Sentence Validation refers to verification of "Natural Language" sentence on basis of its syntax and semantics. Sentence Validation...

Download PDF file
  • EP ID EP19005
  • DOI -
  • Views 255
  • Downloads 9

How To Cite

Rishika Kaloniya, Pooja Sabherwal (2014). Sleep Apnea Syndrome Detection Techniques Using ECG Signal Recordings – A Survey Approach. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(10), -. https://europub.co.uk/articles/-A-19005