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Apnea Detection Method for Cheyne-Stokes Respiration Analysis on Newborn
- Source :
- International Journal of Optomechatronics. 7:67-82
- Publication Year :
- 2013
- Publisher :
- Informa UK Limited, 2013.
-
Abstract
- Cheyne-Stokes respiration is especially prevalent in preterm newborns, but its severity may not be recognized. It is characterized by apnea and cyclical weakening and strengthening of the breathing. We developed a method for detecting apnea and this abnormal respiration and for estimating its malignancy. Apnea was detected based on a “difference” feature (calculated from wavelet coefficients) and a modified maximum displacement feature (related to the respiratory waveform shape). The waveform is calculated from vertical motion of the thoracic and abdominal region during respiration using a vision sensor. Our proposed detection method effectively detects apnea (sensitivity 88.4%, specificity 99.7%).
- Subjects :
- medicine.medical_specialty
business.industry
Mechanical Engineering
Apnea
Cheyne–Stokes respiration
respiratory tract diseases
Feature (computer vision)
Internal medicine
Vision sensor
Respiration
Breathing
Cardiology
medicine
Waveform
Electrical and Electronic Engineering
medicine.symptom
Respiratory system
business
Instrumentation
Subjects
Details
- ISSN :
- 15599620 and 15599612
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- International Journal of Optomechatronics
- Accession number :
- edsair.doi...........e2b0ed502db7155970cea151b24c283b