Comparison of Finger and Forehead Oximetry Sensors in Postanesthesia Care Patients

Blaylock, Vicki; Brinkman, Mary; Carver, Sharon M.; McLain, Penny; Matteson, Stephanie; Newland, Pam; Pettit, Ruth; Schulman, Christine S.; VanSchijndel, Willy; Watson, Sheri

doi:10.1016/j.jopan.2008.07.009

Cited by 10 publications

(16 citation statements)

References 19 publications

(18 reference statements)

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“…There were a few studies reporting conflicting results on the superiority of oxygen saturation measurement taken at sites nearer to the trunk (earlobe, forehead) in comparison to the finger tips [14][15]. It was clearly highlighted from the previous studies that the discrepancies were due to the use of probes not indicated for the allocated sites.…”

Section: Resultsmentioning

confidence: 99%

Reliable monitoring of oxygen saturation via pulse oximetry: Which site to choose?

Juliana¹,

Azmani²,

Idrose³

et al. 2018

J. Fundam and Appl Sci.

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This study focuses on identifying the best site for placement of pulse oximeter probe accurate measuring of oxygen saturation. Twenty years old were recruited in this study. Cold pressor test was done to stim 460 measurements of SpO 2 analyzed using ANOVA with p < 0.05 was considered to be significant. Bias between sites are determined using Bland-Altman plot whilst the internal co sites are identified via Cronbach oxygen saturation measurement is at the earlobe using the ear sensor. Portable finger pulse oximeter oxygen saturation estimation is middle and right ring fingers) regardless of stimulation on peripheral vasoactivity.

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Section: Resultsmentioning

confidence: 99%

Reliable monitoring of oxygen saturation via pulse oximetry: Which site to choose?

Juliana¹,

Azmani²,

Idrose³

et al. 2018

J. Fundam and Appl Sci.

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show abstract

“…Yet, in more critically ill patients, the amount of pulse oximetry error is reported as 7.2% [ 9 ]. Various factors can affect the accuracy of the device including the physiologic, environmental, technology failures and human error [ 1 , 3 , 7 , 10 – 12 ].…”

Section: Introductionmentioning

confidence: 99%

Accuracy of pulse oximetry in detection of oxygen saturation in patients admitted to the intensive care unit of heart surgery: comparison of finger, toe, forehead and earlobe probes

et al. 2018

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BackgroundHeart surgery patients are more at risk of poor peripheral perfusion, and peripheral capillary oxygen saturation (SpO2) measurement is regular care for continuous analysis of blood oxygen saturation in these patients. With regard to controversial studies on accuracy of the current pulse oximetry probes and lack of data related to patients undergoing heart surgery, the present study was conducted to determine accuracy of pulse oximetry probes of finger, toe, forehead and earlobe in detection of oxygen saturation in patients admitted to intensive care units for coronary artery bypass surgery.MethodsIn this clinical trial, 67 patients were recruited based on convenience sampling method among those admitted to intensive care units for coronary artery bypass surgery. The SpO2 value was measured using finger, toe, forehead and earlobe probes and then compared with the standard value of arterial oxygen saturation (SaO2). Data were entered into STATA-11 software and analyzed using descriptive, inferential and Bland-Altman statistical analyses.ResultsHighest and lowest correlational mean values of SpO2 and SaO2 were related to finger and earlobe probes, respectively. The highest and lowest agreement of SpO2 and SaO2 were related to forehead and earlobe probes.ConclusionThe SpO2 of earlobe probes due to lesser mean difference, more limited confidence level and higher agreement ration with SaO2 resulted by arterial blood gas (ABG) analysis had higher accuracy. Thus, it is suggested to use earlobe probes in patients admitted to the intensive care unit for coronary artery bypass surgery.Trial registrationRegistration of this trial protocol has been approved in Iranian Registry of Clinical Trials at 2018–03-19 with reference IRCT20100913004736N22. “Retrospectively registered.”

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“…For the training of athletes, pulse oximeter could be used to assess the degree of hypoxemia [6]. Recently, the comparison between finger and forehead SpO2 measurements has been presented [7,8]. According to Sugino's study [7], the forehead pulse oximeter could detect the varying of hypoxia with faster speed and higher accuracy than the finger-type pulse oximeter.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Quality of Photoplethymographic Signal on Wearable Forehead Pulse Oximeter With Supervised Classification Approaches

Liu

Chen

et al. 2020

IEEE Access

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Pulse oximeter is a common and important instrument in medical clinic, which uses the photoplethysmography to measure oxygen saturation ratio (SpO2). However, the photoplethysmographic (PPG) signal is easily corrupted by the motion artifact when SpO2 is measured in a dynamic scenario. Moreover, the probe of most pulse oximeters available in the market is finger-type clip, which is only suitable in the static scenario. This study developed a wearable forehead pulse oximeter which could be used in a dynamic scenario. Because PPG signals with high signal quality index (SQI) produce accurate SpO2 values, to improve the accuracy of SpO2, the quality of PPG signals were evaluated by two supervised classification approaches, support vector machine (SVM) and convolutional neural network (CNN). The SVM classified the SQI of PPG signal by twelve statistic features calculated from 7-second PPG segment. In the CNN approach, the PPG signals converted to an image was used as the input. The VGG-19 model, was then used to evaluate the SQI of PPG segments. Twenty subjects were recruited to perform the static and dynamic experiments. For the dynamic experiment, subjects ran on a treadmill with three different speeds, 3 km/hour, 5 km/hour and 7 km/hour. Experimental results indicated that the accuracies of SVM and CNN for SQI classifications were 89.9 ± 1.18 % (mean ± deviation %) and 88.7 ±1.54%, respectively. Then, the dynamic data were used to test the two classification models which were trained by the static data. The accuracies of SVM and CNN for SQI classifications were 89.5 ± 3.87% and 86.2 ±4.28%, respectively. The error ratios of SpO2 in the case of static condition before and after the SQI classification with the SVM were respectively 5.6 ± 6.6% and 1.9 ± 1.1%. The results suggested that the performance of SVM was better than CNN.

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Comparison of Finger and Forehead Oximetry Sensors in Postanesthesia Care Patients

Cited by 10 publications

References 19 publications

Reliable monitoring of oxygen saturation via pulse oximetry: Which site to choose?

Reliable monitoring of oxygen saturation via pulse oximetry: Which site to choose?

Accuracy of pulse oximetry in detection of oxygen saturation in patients admitted to the intensive care unit of heart surgery: comparison of finger, toe, forehead and earlobe probes

Evaluating Quality of Photoplethymographic Signal on Wearable Forehead Pulse Oximeter With Supervised Classification Approaches

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