Respiratory Rate Prediction Algorithm based on Pulse Oximeter

Respiratory rate (RR) is a valuable early marker of illness in vulnerable infants, but current monitoring methods are unsuitable for sustained home use. We have demonstrated accurate measurement of RR from brief recordings of pulse oximeter plethysmogram (pleth) trace in full-term neonates in hospital. This study assessed the feasibility of this method in preterm infants during overnight recordings in the home. We collected simultaneous overnight SpO2, pleth and respiratory inductive plethysmography (RIP) on 24 preterm infants in the home. RR from pleth analysis was compared with RR from RIP bands; pleth quality was assessed by the presence of visible artefact. Median (range) RR from RIP and pleth were not significantly different at 42 (25–65) and 42 (25–64) breaths/min. Median (range) % of epochs rejected due to artefact was 20 (8–75) for pleth and 10 (3–53) for RIP. Our results suggest that home RR monitoring by pulse oximeter pleth signal is accurate and feasible.

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Hit Rate Prediction Algorithm for Laser Guided Bombs Using Image Processing

KIISE Transactions on Computing Practices ◽

10.5626/ktcp.2015.21.3.247 ◽

2015 ◽

Vol 21 (3) ◽

pp. 247-256 ◽

Cited By ~ 1

Author(s):

Younghwan Ahn ◽

Sanghoon Lee

Keyword(s):

Image Processing ◽

Prediction Algorithm ◽

Hit Rate ◽

Rate Prediction

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Respiratory rate extraction from pulse oximeter and electrocardiographic recordings

Physiological Measurement ◽

10.1088/0967-3334/32/11/s04 ◽

2011 ◽

Vol 32 (11) ◽

pp. 1763-1773 ◽

Cited By ~ 11

Author(s):

Jinseok Lee ◽

John P Florian ◽

Ki H Chon

Keyword(s):

Respiratory Rate ◽

Pulse Oximeter ◽

Electrocardiographic Recordings

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Measuring accuracy of plethysmography based respiratory rate measurement using pulse oximeter at a tertiary hospital in India

Pneumonia ◽

10.1186/s41479-020-00067-2 ◽

2020 ◽

Vol 12 (1) ◽

Author(s):

Varun Alwadhi ◽

Enisha Sarin ◽

Praveen Kumar ◽

Prasant Saboth ◽

Ajay Khera ◽

...

Keyword(s):

Respiratory Rate ◽

Pulse Oximeter ◽

Tertiary Hospital ◽

Rate Measurement ◽

Measuring Accuracy

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Deriving Heart Rate and Respiratory Rate from Pulse Oximetry Data

International Journal of Advanced Trends in Computer Science and Engineering ◽

10.30534/ijatcse/2021/241032021 ◽

2021 ◽

Vol 10 (3) ◽

pp. 1656-1662

Keyword(s):

Heart Rate ◽

Signal Processing ◽

Wavelet Transform ◽

Respiratory Rate ◽

Pulse Oximeter ◽

Point Of Care ◽

The Body ◽

Clinical Grade ◽

Resting Heart Rate ◽

Air Movement

Respiratory Rate (RR) is a vital sign representing air movement in and out of the body. Neglecting the respiratory rate can foresee the patient being at risk. The lack of portable device in a point of care unit, i.e. ambulances, can be a demanding task. In this study, the researchers developed a hardware device that can measure resting Heart Rate (HR) and RR from a custom pulse oximeter tethered to the Arduino board using signal processing to extract HR and Symlet Wavelet Transform to extract the RR. The derived HR and RR from a custom pulse oximeter is compared to a clinical-grade pulse oximeter and yielded an MSE of around 3.8. Moreover, results obtained from the custom pulse oximeter vs the reference are close and valid.

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