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Automated Detect ion of Sleep Apnea and Hypopnea Events Based on Robust Airfl ow Envelope Tracking in the Presence of Breathing Artifacts
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Automated Detect ion of Sleep Apnea and Hypopnea Events Based on Robust Airfl ow Envelope Tracking in the Presence of Breathing Artifacts

Category : BioMedical


Sub Category : Bio Gadgets


Project Code : ITBIO13


Project Abstract

Abstract:

            The paper presents a new approach to detection of apnea/hypopnea events, in the presence of artifacts and breathing irregularities, from a single-channel airflow record. The proposed algorithm, based on a robust envelope detector, identifies segments of signal affected by a high amplitude modulation corresponding to apnea/hypopnea events. It is shown that a robust airflow envelope—free of breathing artifacts—improves effectiveness of the diagnostic process and allows one to localize the beginning and the end of each episode more accurately. The performance of the proposed approach, evaluated on 30 overnight polysomnographic recordings, was assessed using diagnostic measures such as accuracy, sensitivity, specificity, and Cohen’s coefficient of agreement; the achieved levels were equal to 95%, 90%, 96%, and 0.82, respectively. The results suggest that the algorithm may be implemented successfully in portable monitoring devices, as well as in software packages used in sleep laboratories for automated evaluation of sleep apnea/hypopnea syndrome.

 

Existing System

Proposed System

Ø  In this system, there is no device to monitor the sleep.

 

 

Drawbacks.

Ø  The proposed system the pressure sensor and along with breath sensor respiration rate and heart rate is determined.

Ø  The recordings of the sensor readings suspected problems are analyzed and if abnormal is present it will activate alert.

Advantages

Ø  Fast response.

Ø  Detect the sleep problems.

Ø  Breathing problem during the asthma can be rectified.

Ø Easy to use in Hospitals and in Homes

 
 
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