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A Comparative Study of Physiological Monitoring with a Wearable Opto-Electronic Patch Sensor (OEPS) for Motion Reduction.

Alzahrani A, Hu S, Azorin-Peris V - Biosensors (Basel) (2015)

Bottom Line: The protocol involved 16 healthy subjects and was designed to test the features of OEPS, with emphasis on the effective reduction of motion artefacts through the utilization of a 3MA as a movement reference.The results show significant agreement between the heart rates from the reference measurements and the recovered signals.The outcome of the present work incites the prospects of OEPS on physiological monitoring during physical activities.

View Article: PubMed Central - PubMed

Affiliation: School of Electronic, Electrical and Systems Engineering, Loughborough University, Ashby Road, Loughborough, Leicestershire LE11 3TU, UK. A.Alzahrani@lboro.ac.uk.

ABSTRACT
This paper presents a comparative study in physiological monitoring between a wearable opto-electronic patch sensor (OEPS) comprising a three-axis Microelectromechanical systems (MEMs) accelerometer (3MA) and commercial devices. The study aims to effectively capture critical physiological parameters, for instance, oxygen saturation, heart rate, respiration rate and heart rate variability, as extracted from the pulsatile waveforms captured by OEPS against motion artefacts when using the commercial probe. The protocol involved 16 healthy subjects and was designed to test the features of OEPS, with emphasis on the effective reduction of motion artefacts through the utilization of a 3MA as a movement reference. The results show significant agreement between the heart rates from the reference measurements and the recovered signals. Significance of standard deviation and error of mean yield values of 2.27 and 0.65 beats per minute, respectively; and a high correlation (0.97) between the results of the commercial sensor and OEPS. T, Wilcoxon and Bland-Altman with 95% limit of agreement tests were also applied in the comparison of heart rates extracted from these sensors, yielding a mean difference (MD: 0.08). The outcome of the present work incites the prospects of OEPS on physiological monitoring during physical activities.

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System schematic of adaptive motion artefact cancellation technique.
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biosensors-05-00288-f003: System schematic of adaptive motion artefact cancellation technique.

Mentions: Figure 3 illustrates a method for adaptive motion artefact cancellation (AMC) with a combined correlated and uncorrelated approach. To realize the adaptive motion cancellation, the OEPS system uses two inputs. The method uses the corrupted PPG signal c_ppg(t) as a primary input, and the combined motion signal acc(t) from the accelerometer as a reference input, which is assumed to correlate in some intervals with the noise in the primary input. Both signals from the 3MA and the OEPS are digitized in the microcontroller to perform this kind of processing. In the absence of movement, no signal comes out from the reference accelerometer, and a clean ppg(t) signal is passed directly to the output.


A Comparative Study of Physiological Monitoring with a Wearable Opto-Electronic Patch Sensor (OEPS) for Motion Reduction.

Alzahrani A, Hu S, Azorin-Peris V - Biosensors (Basel) (2015)

System schematic of adaptive motion artefact cancellation technique.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4493550&req=5

biosensors-05-00288-f003: System schematic of adaptive motion artefact cancellation technique.
Mentions: Figure 3 illustrates a method for adaptive motion artefact cancellation (AMC) with a combined correlated and uncorrelated approach. To realize the adaptive motion cancellation, the OEPS system uses two inputs. The method uses the corrupted PPG signal c_ppg(t) as a primary input, and the combined motion signal acc(t) from the accelerometer as a reference input, which is assumed to correlate in some intervals with the noise in the primary input. Both signals from the 3MA and the OEPS are digitized in the microcontroller to perform this kind of processing. In the absence of movement, no signal comes out from the reference accelerometer, and a clean ppg(t) signal is passed directly to the output.

Bottom Line: The protocol involved 16 healthy subjects and was designed to test the features of OEPS, with emphasis on the effective reduction of motion artefacts through the utilization of a 3MA as a movement reference.The results show significant agreement between the heart rates from the reference measurements and the recovered signals.The outcome of the present work incites the prospects of OEPS on physiological monitoring during physical activities.

View Article: PubMed Central - PubMed

Affiliation: School of Electronic, Electrical and Systems Engineering, Loughborough University, Ashby Road, Loughborough, Leicestershire LE11 3TU, UK. A.Alzahrani@lboro.ac.uk.

ABSTRACT
This paper presents a comparative study in physiological monitoring between a wearable opto-electronic patch sensor (OEPS) comprising a three-axis Microelectromechanical systems (MEMs) accelerometer (3MA) and commercial devices. The study aims to effectively capture critical physiological parameters, for instance, oxygen saturation, heart rate, respiration rate and heart rate variability, as extracted from the pulsatile waveforms captured by OEPS against motion artefacts when using the commercial probe. The protocol involved 16 healthy subjects and was designed to test the features of OEPS, with emphasis on the effective reduction of motion artefacts through the utilization of a 3MA as a movement reference. The results show significant agreement between the heart rates from the reference measurements and the recovered signals. Significance of standard deviation and error of mean yield values of 2.27 and 0.65 beats per minute, respectively; and a high correlation (0.97) between the results of the commercial sensor and OEPS. T, Wilcoxon and Bland-Altman with 95% limit of agreement tests were also applied in the comparison of heart rates extracted from these sensors, yielding a mean difference (MD: 0.08). The outcome of the present work incites the prospects of OEPS on physiological monitoring during physical activities.

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