Title page for ETD etd-012009-143419

Document Type thesis

Author Name Ramuka, Piyush R

Email Address piyushramuka at gmail.com

URN etd-012009-143419

Title Real-Time Adaptive Noise Cancellation in Pulse Oximetry: Accuracy, Processing Speed and Program Memory Considerations

Degree MS

Department Biomedical Engineering

Advisors
Yitzhak Mendelson, Advisor
R. James Duckworth, Committee Member
Edward (Ted) A. Clancy, Committee Member

Keywords
Adaptive noise cancellation
Heart rate
Wireless pulse oximeter
Arterial oxygen saturation (SpO2)

Date of Presentation/Defense 2008-12-17

Availability unrestricted

Abstract
A wireless, battery operated pulse oximeter system with a forehead mounted optical sensor was designed in our laboratory. This wireless pulse oximeter (WPO) would enable field medics to monitor arterial oxygen saturation (SpO2) and heart rate (HR) information accurately following injuries, thereby help to prioritize life saving medical interventions when resources are limited. Pulse oximeters developed for field-based applications must be resistant to motion artifacts since motion artifacts degrade the signal quality of the photoplethysmographic (PPG) signals from which measurements are derived. This study was undertaken to investigate if accelerometer-based adaptive noise cancellation (ANC) can be used to reduce SpO2 and HR errors induced by motion artifacts typically encountered during field applications. Preliminary studies conducted offline showed that ANC can minimize SpO2 and HR errors during jogging, running, and staircase climbing. An 8th order LMS filter with ì = 0.01 was successfully implemented in the WPO’s embedded microcontroller. After real-time adaptive filtering of motion corrupted PPG signals, errors for HR values ranging between 60 – 180BPM were reduced from 12BPM to 6BPM. Similarly, ambient breathing SpO2 errors were reduced from 5% to 2%.

Files
Ramuka.pdf

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Document Type	thesis
Author Name	Ramuka, Piyush R
Email Address	piyushramuka at gmail.com
URN	etd-012009-143419
Title	Real-Time Adaptive Noise Cancellation in Pulse Oximetry: Accuracy, Processing Speed and Program Memory Considerations
Degree	MS
Department	Biomedical Engineering
Advisors	Yitzhak Mendelson, Advisor R. James Duckworth, Committee Member Edward (Ted) A. Clancy, Committee Member
Keywords	Adaptive noise cancellation Heart rate Wireless pulse oximeter Arterial oxygen saturation (SpO2)
Date of Presentation/Defense	2008-12-17
Availability	unrestricted
Abstract A wireless, battery operated pulse oximeter system with a forehead mounted optical sensor was designed in our laboratory. This wireless pulse oximeter (WPO) would enable field medics to monitor arterial oxygen saturation (SpO2) and heart rate (HR) information accurately following injuries, thereby help to prioritize life saving medical interventions when resources are limited. Pulse oximeters developed for field-based applications must be resistant to motion artifacts since motion artifacts degrade the signal quality of the photoplethysmographic (PPG) signals from which measurements are derived. This study was undertaken to investigate if accelerometer-based adaptive noise cancellation (ANC) can be used to reduce SpO2 and HR errors induced by motion artifacts typically encountered during field applications. Preliminary studies conducted offline showed that ANC can minimize SpO2 and HR errors during jogging, running, and staircase climbing. An 8th order LMS filter with ì = 0.01 was successfully implemented in the WPO’s embedded microcontroller. After real-time adaptive filtering of motion corrupted PPG signals, errors for HR values ranging between 60 – 180BPM were reduced from 12BPM to 6BPM. Similarly, ambient breathing SpO2 errors were reduced from 5% to 2%.
Files	Ramuka.pdf