Monitoring and alerting system for sleep apnea patients
Obstructive Sleep Apnea is known as one of the chronic disorders and defined as a repeated episode of obstructive apnea during sleep. The standard diagnosis of the disorder can be complicated and costly. This report will address the implementation of a monitoring and alerting system for patients suf...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/10356/74723 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Obstructive Sleep Apnea is known as one of the chronic disorders and defined as a repeated episode of obstructive apnea during sleep. The standard diagnosis of the disorder can be complicated and costly. This report will address the implementation of a monitoring and alerting system for patients suffering from this condition with the use of biosensor. Biological signals measured are the heart rate and oxygen saturation. The raw biological data will then be sent to a Raspberry Pi for further processing. Filters which includes moving average was used for the calibration. After filtering, the data will pass through a monitoring and alert algorithm. With that, the system will be able to send an alert once an apnea attack is detected. |
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