Non-invasive remote physiological monitoring of soldiers on the battlefield has the potential to provide fast, accurate status assessments that are key to improving the survivability of critical injuries. The development of WPI’s wearable wireless pulse oximeter, designed for field-based applications, has allowed for the optimization of important hardware features such as physical size and power management. However, software-based digital signal processing (DSP) methods are still required to perform physiological assessments. This research evaluated DSP methods that were capable of providing arterial oxygen saturation (SpO<SUB>2</SUB>), heart rate (HR), heart rate variability (HRV), and respiration rate (RR) measurements derived from data acquired using a single optical sensor. In vivo experiments were conducted to evaluate the accuracies of the processing methods across ranges of physiological conditions. Of the algorithms assessed, 13 SpO<SUB>2</SUB> methods, 1 HR method, 6 HRV indices, and 4 RR methods were identified that provided clinically acceptable measurement accuracies and could potentially be employed in a wearable pulse oximeter.

Creator

• Johnston, William S.

Contributori

• Michalson, William R.
• Mendelson, Yitzhak
• Duckworth, R. James

Degree

• MS

Unit

• Biomedical Engineering

Publisher

• Worcester Polytechnic Institute

Language

• English

Identifier

• etd-073106-130906

Parola chiave

• wearable medical sensors
• digital signal processing
• Software Development
• Arterial Oxygen Saturation
• embedded systems
• heart rate variability
• Pulse Oximetry
• Heart rate
• respiration rate

Advisor

• Mendelson, Yitzhak

Committee

• Duckworth, R. James
• Michalson, William R.

Defense date

• 2006-07-17

Year

• 2006

Date created

• 2006-07-31

Resource type

• Thesis

Rights statement

• In Copyright