Estimation of confidence levels for physiology variables measured by a vital signs detection system

Jingyu Liu; Thomas M. McKenna; Andrei Gribok; Beth A. Beidleman; William T. Tharion; Jaques Reifman

doi:10.1117/12.665965

19 May 2006 Estimation of confidence levels for physiology variables measured by a vital signs detection system

Jingyu Liu, Thomas M. McKenna, Andrei Gribok, Beth A. Beidleman, William T. Tharion, Jaques Reifman

Proceedings Volume 6218, Chemical and Biological Sensing VII; 621818 (2006) https://doi.org/10.1117/12.665965
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

Quantifying the accuracy of physiological data measured by a Vital Signs Detection System (VSDS) plays a key role in making trustworthy decisions about the physiological status of a soldier. We developed an algorithm to report VSDSmeasured heart and respiratory rates and their associated confidence levels. Heart and respiratory rates were measured about every 2 seconds for about 4 hours, while subjects engaged in low (e.g., sitting), medium (e.g., sit-ups), and high intensity (e.g., running) activities. The mean heart and median respiratory rates are calculated every 15 seconds by an in-house developed algorithm, and associated confidence levels for each variable are estimated simultaneously using a fuzzy-logic-based algorithm. Inputs into the algorithm are features that represent two types of information; the quality of each variable, and the relationship between the variables. Faulty data points are separated from good measures by setting a threshold. When data with pre-classified faults are tested with the confidence level threshold set at 0.5, the sensitivity and specificity of the algorithm for heart rate are 91% and 97%, respectively. For respiratory rate, because of the intrinsically noisy property of the data, the sensitivity and specificity are 87% and 93%, respectively. These preliminary results demonstrate that the fuzzy logic algorithm can accurately qualify heart and respiratory rates measured by a VSDS.

Citation Download Citation

Jingyu Liu, Thomas M. McKenna, Andrei Gribok, Beth A. Beidleman, William T. Tharion, and Jaques Reifman "Estimation of confidence levels for physiology variables measured by a vital signs detection system", Proc. SPIE 6218, Chemical and Biological Sensing VII, 621818 (19 May 2006); https://doi.org/10.1117/12.665965

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Sensors

Algorithm development

Fuzzy logic

Heart

Physiology

Vital signs

Feature extraction

Show All Keywords

Keywords/Phrases

Search In:

Publication Years