2019
DOI: 10.1007/978-3-030-00665-5_60
|View full text |Cite
|
Sign up to set email alerts
|

An ANN-Based Detection of Obstructive Sleep Apnea from Simultaneous ECG and SpO2 Recordings

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2021
2021
2022
2022

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(4 citation statements)
references
References 19 publications
0
4
0
Order By: Relevance
“…However, this work focuses only on detecting sleep apnea events and achieved low accuracy compared to our result. Another study has achieved an accuracy of 98.1% by using ECG and SpO 2 for detecting sleep apnea which is less compared with our result and severity classification also not included compared with our result (19). Sleep apnea severity classification using the ECG signal alone has been proposed based on a deep learning approach (26).…”
Section: Graphical User Interface (Gui) For Apnea Classification and Severity Level Classificationmentioning
confidence: 58%
See 2 more Smart Citations
“…However, this work focuses only on detecting sleep apnea events and achieved low accuracy compared to our result. Another study has achieved an accuracy of 98.1% by using ECG and SpO 2 for detecting sleep apnea which is less compared with our result and severity classification also not included compared with our result (19). Sleep apnea severity classification using the ECG signal alone has been proposed based on a deep learning approach (26).…”
Section: Graphical User Interface (Gui) For Apnea Classification and Severity Level Classificationmentioning
confidence: 58%
“…However, the system has low accuracy and severity detection was not included in their system. A system that used an artificial neural network-based detection of OSA from ECG and SpO 2 in combination was also developed and tested using 12 features from ECG signal and 2 features from and an accuracy of 98.3%, a specificity of 100% and a sensitivity of 96.6% was reported (19). Even though the accuracy achieved was good severity classification has not been considered.…”
Section: Original Articlementioning
confidence: 99%
See 1 more Smart Citation
“…Many studies have addressed these issues by using signals from audio recordings, 5 plethysmography, 6 respiratory movements, 7 , 8 oximetry, 9–16 electrocardiogram (ECG), 17 or a combination of such methods. 18 , 19 The SpO 2 signal can be easily collected, and a large number of wearable pulse oximetry devices are available in the market at a low cost. 20–22 The SpO 2 signal represents the oxyhaemoglobin concentration in blood.…”
Section: Introductionmentioning
confidence: 99%