Accuracy of Rhythm Diagnostic Systems’ MultiSense® in Detection of Arterial Oxygen Saturation and Respiratory Rate During Hypoxia in Humans: Effects of Skin Color and Device Localization

The continuous monitoring of oxygen saturation (SpO<sub>2</sub>) and respiratory rates (RRs) are major clinical issues in many cardio-respiratory diseases and have been of tremendous importance during the COVID-19 pandemic. The early detection of hypoxemia was crucial since it precedes significant complications, and SpO<sub>2</sub> follow-up allowed early hospital discharge in patients needing oxygen therapy. Nevertheless, fingertip devices showed some practical limitations. In this study, we investigated the reliability of the new Multisense<sup>®</sup> pulse oximetry system compared to a reference pulse oximeter (Vyntus CPX Pulse Oximeter) during hypoxia. In a population of sixteen healthy male subjects (mean age: 31.5 ± 7.0 years, BMI: 24.9 ± 3.6 kg/m², and 35% with darker skin tones), simultaneous SpO<sub>2</sub> and RR measurements were collected over 12.4 h, during which FiO<sub>2</sub> was progressively reduced from 21% to 10.5%. The average root mean square error (ARMS) of SpO<sub>2</sub> for Multisense<sup>®</sup> placed on the back and chest was 2.94% and 2.98%, respectively, with permutation testing confirming a significant ARMS below 3.5% for both positions and no statistically significant difference in the ARMS between patch placements. Positive correlations and acceptable accuracy between devices were observed at both locations (r = 0.92, <i>p</i> < 0.001 and r = 0.90, <i>p</i> < 0.001 for back and chest placements, respectively). Bland-Altman analysis further indicated limits of agreement that support consistency across placements, with similar agreement levels noted across skin tones. Similar findings were obtained with the RR measurements. In conclusion, Multisense<sup>®</sup> demonstrated robust accuracy in measuring SpO<sub>2</sub> and RRs during hypoxia in humans comparable to standard hospital-grade equipment. The effectiveness of the findings suggests that this wearable device is a valuable tool for the continuous monitoring of SpO<sub>2</sub> and RRs, potentially enhancing patient safety and optimizing hospital resource allocation. Nevertheless, to overcome study limitations and allow generalized use, further work on a larger population sample, including more subjects with a high phototype and desaturation below 80%, would be useful.

Authors

Institutions

Publication Details

Journal
Sensors
Published
2024-12-28
DOI
https://doi.org/10.3390/s25010127
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accuracy of Rhythm Diagnostic Systems’ MultiSense® in Detection of Arterial Oxygen Saturation and Respiratory Rate During Hypoxia in Humans: Effects of Skin Color and Device Localization

Cristina Pistea, Amina El Attaoui, Irina Enache, Louis Mayaud et al.
Sensors
Non-Invasive Vital Sign Monitoring
article

Accuracy of Rhythm Diagnostic Systems’ MultiSense® in Detection of Arterial Oxygen Saturation and Respiratory Rate During Hypoxia in Humans: Effects of Skin Color and Device Localization

Cristina Pistea, Amina El Attaoui, Irina Enache, Louis Mayaud, Anne Charloux, Charles Evrard, Bernard Gény, Mark Marriott
article en

Abstract

The continuous monitoring of oxygen saturation (SpO<sub>2</sub>) and respiratory rates (RRs) are major clinical issues in many cardio-respiratory diseases and have been of tremendous importance during the COVID-19 pandemic. The early detection of hypoxemia was crucial since it precedes significant complications, and SpO<sub>2</sub> follow-up allowed early hospital discharge in patients needing oxygen therapy. Nevertheless, fingertip devices showed some practical limitations. In this study, we investigated the reliability of the new Multisense<sup>®</sup> pulse oximetry system compared to a reference pulse oximeter (Vyntus CPX Pulse Oximeter) during hypoxia. In a population of sixteen healthy male subjects (mean age: 31.5 ± 7.0 years, BMI: 24.9 ± 3.6 kg/m², and 35% with darker skin tones), simultaneous SpO<sub>2</sub> and RR measurements were collected over 12.4 h, during which FiO<sub>2</sub> was progressively reduced from 21% to 10.5%. The average root mean square error (ARMS) of SpO<sub>2</sub> for Multisense<sup>®</sup> placed on the back and chest was 2.94% and 2.98%, respectively, with permutation testing confirming a significant ARMS below 3.5% for both positions and no statistically significant difference in the ARMS between patch placements. Positive correlations and acceptable accuracy between devices were observed at both locations (r = 0.92, <i>p</i> < 0.001 and r = 0.90, <i>p</i> < 0.001 for back and chest placements, respectively). Bland-Altman analysis further indicated limits of agreement that support consistency across placements, with similar agreement levels noted across skin tones. Similar findings were obtained with the RR measurements. In conclusion, Multisense<sup>®</sup> demonstrated robust accuracy in measuring SpO<sub>2</sub> and RRs during hypoxia in humans comparable to standard hospital-grade equipment. The effectiveness of the findings suggests that this wearable device is a valuable tool for the continuous monitoring of SpO<sub>2</sub> and RRs, potentially enhancing patient safety and optimizing hospital resource allocation. Nevertheless, to overcome study limitations and allow generalized use, further work on a larger population sample, including more subjects with a high phototype and desaturation below 80%, would be useful.

SensorsVol. 25(1)
Hôpitaux Universitaires de Strasbourg (FR), Mitochondrie, stress oxydant et protection musculaire (FR), Université de Strasbourg (FR)
Openalex Percentile: Top 77%
Non-Invasive Vital Sign Monitoring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.