Internship Details
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Internship Description
Job Description:
- Sleep Apnea is a potentially serious sleep disorder in which you have one or more pauses in breathing or shallow breaths while you sleep. It is classified into 3 main types: Obstructive sleep apnea, Central sleep apnea, and Complex sleep apnea syndrome. Signal Processing and Pattern recognition can be used as an alternative method to classify ECG for sleep apnea detection. At the end of the two months student should able to develop an algorithm for classification of ECG signals.Chat Conversation EndType a message...
The intern will learn:
- pre processing
- R-peak detection
- RR interval
- Feature extraction
- Classification of sleep Apnea
Application Deadline:once find suitable applicants
Internship Start date:15 July 2019
Duration: 3 month
Internship Requirements
- Electrical Engineering Grad
- Fresh Grad
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