Physiological measurement
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Physiological measurement · Feb 2013
Interaction of dependent and non-dependent regions of the acutely injured lung during a stepwise recruitment manoeuvre.
The benefit of treating acute lung injury with recruitment manoeuvres is controversial. An impediment to settling this debate is the difficulty in visualizing how distinct lung regions respond to the manoeuvre. Here, regional lung mechanics were studied by electrical impedance tomography (EIT) during a stepwise recruitment manoeuvre in a porcine model with acute lung injury. ⋯ The pulmonary pressure-volume equation, originally designed for modelling measurements at the airway opening, was adapted for EIT-based regional estimates of overdistension and atelectasis. The adaptation accurately modelled the regional EIT data from dependent and non-dependent regions (R(2) > 0.93, P < 0.0001) and predicted their interaction during recruitment. In conclusion, EIT imaging of regional lung mechanics reveals that overdistension in the non-dependent region precedes atelectasis reversal in the dependent region during a stepwise recruitment manoeuvre.
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Physiological measurement · Jan 2013
The feasibility of home monitoring of impedance with the forced oscillation technique in chronic obstructive pulmonary disease subjects.
Respiratory system resistance (Rrs) and reactance (Xrs) measured by forced oscillation technique (FOT) can be potentially used for home monitoring in COPD. Our aims were to determine the technical acceptability, adherence and variability of unsupervised, home FOT measurements over ten consecutive days. Supervised spirometry and FOT measurements were made on ten clinically stable COPD subjects at their homes at the study initiation. ⋯ Subjects who have COPD make reliable, unsupervised FOT measurements at home with a high degree of adherence. The day-to-day variability of FOT measurements was similar to that of supervised laboratory recordings. These results support the conduct of larger, longer-term studies of FOT monitoring in COPD.
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Physiological measurement · Oct 2012
Flexible electrode belt for EIT using nanofiber web dry electrodes.
Efficient connection of multiple electrodes to the body for impedance measurement and voltage monitoring applications is of critical importance to measurement quality and practicality. Electrical impedance tomography (EIT) experiments have generally required a cumbersome procedure to attach the multiple electrodes needed in EIT. Once placed, these electrodes must then maintain good contact with the skin during measurements that may last several hours. ⋯ We tested the electrode belt in conjunction with the KHU Mark1 multi-frequency EIT system, and demonstrate time-difference images of phantoms and human subjects during normal breathing and running. We found that the Ag-plated PVDF nanofiber web electrodes were suitable for long-term measurement because of their flexibility and durability. Moreover, the contact impedance and stability of the Ag-plated PVDF nanofiber web electrodes were found to be comparable to similarly tested Ag/AgCl electrodes.
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Physiological measurement · Oct 2012
Photoplethysmogram signal quality estimation using repeated Gaussian filters and cross-correlation.
Pulse oximeters are monitors that noninvasively measure heart rate and blood oxygen saturation (SpO2). Unfortunately, pulse oximetry is prone to artifacts which negatively impact the accuracy of the measurement and can cause a significant number of false alarms. We have developed an algorithm to segment pulse oximetry signals into pulses and estimate the signal quality in real time. ⋯ Experimental results using two different benchmark data sets showed a good pulse detection rate with a sensitivity of 96.21% and a positive predictive value of 99.22%, which was equivalent to the available reference algorithm. The novel SQI algorithm was effective and produced significantly lower SQI values in the presence of artifacts compared to SQI values during clean signals. The SQI algorithm may help to guide untrained pulse oximeter users and also help in the design of advanced algorithms for generating smart alarms.
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Physiological measurement · Sep 2012
Signal quality indices and data fusion for determining clinical acceptability of electrocardiograms.
A completely automated algorithm to detect poor-quality electrocardiograms (ECGs) is described. The algorithm is based on both novel and previously published signal quality metrics, originally designed for intensive care monitoring. The algorithms have been adapted for use on short (5-10 s) single- and multi-lead ECGs. ⋯ A classification accuracy of 98% on the training data and 97% on the test data were achieved. Upon inspection, incorrectly classified data were found to be borderline cases which could be classified either way. If these cases were more consistently labelled, we expect our approach to achieve an accuracy closer to 100%.