Towards a novel single-LED pulse oximeter based on a multispectral sensor for IoT applications

Chong, Alejandro Von; Terosiet, Mehdi; Histace, Aymeric; Romain, Olivier

doi:10.1016/j.mejo.2018.03.005

Cited by 22 publications

(11 citation statements)

References 15 publications

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“…The shift toward co-oximetry, also named Multi-Wavelength pulse oximetry [1,54], addresses this limitation and improves overall accuracy. However, an interesting additional alternative could be its association with specific multi-layer Si photodetectors, which are well-known to yield a better spectral discrimination and signal-to-noise ratio than usual photodiodes, without real additional manufacturing costs thanks to their fabrication with standard Complementary Metal-Oxide Semiconductor (CMOS) technologies [55][56][57].…”

Section: Discussionmentioning

confidence: 99%

Source–Detector Spectral Pairing-Related Inaccuracies in Pulse Oximetry: Evaluation of the Wavelength Shift

Tsiakaka

Gosselin

2020

Sensors

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Pulse oximetry enables oxygen saturation estimation ( S p O 2) non-invasively in real time with few components and modest processing power. With the advent of affordable development kits dedicated to the monitoring of biosignals, capabilities once reserved to hospitals and high-end research laboratories are becoming accessible for rapid prototyping. While one may think that medical-grade equipment differs greatly in quality, surprisingly, we found that the performance requirements are not widely different from available consumer-grade components, especially regarding the photodetection module in pulse oximetry. This study investigates how the use of candidate light sources and photodetectors for the development of a custom S p O 2 monitoring system can lead to inaccuracies when using the standard computational model for oxygen saturation without calibration. Following the optical characterization of selected light sources, we compare the extracted parameters to the key features in their respective datasheet. We then quantify the wavelength shift caused by spectral pairing of light sources in association with photodetectors. Finally, using the widely used approximation, we report the resulting absolute error in S p O 2 estimation and show that it can lead up to 8% of the critical 90–100% saturation window.

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Section: Discussionmentioning

confidence: 99%

Source–Detector Spectral Pairing-Related Inaccuracies in Pulse Oximetry: Evaluation of the Wavelength Shift

Tsiakaka

Gosselin

2020

Sensors

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“…The system was integrated with a pulse oximeter and WLAN router that were connected using the Blynk server. Moreover, Von Chong et al have proposed a multispectral sensor that reduces the adverse effect of a single LED [ 94 ]. A low-power and cost-effective remote patient monitoring system has been proposed in [ 95 ].…”

Section: Services and Application Of Hiotmentioning

confidence: 99%

IoT-Based Applications in Healthcare Devices

Pradhan

Bhattacharyya

Pal

2021

Journal of Healthcare Engineering

239

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The last decade has witnessed extensive research in the field of healthcare services and their technological upgradation. To be more specific, the Internet of Things (IoT) has shown potential application in connecting various medical devices, sensors, and healthcare professionals to provide quality medical services in a remote location. This has improved patient safety, reduced healthcare costs, enhanced the accessibility of healthcare services, and increased operational efficiency in the healthcare industry. The current study gives an up-to-date summary of the potential healthcare applications of IoT- (HIoT-) based technologies. Herein, the advancement of the application of the HIoT has been reported from the perspective of enabling technologies, healthcare services, and applications in solving various healthcare issues. Moreover, potential challenges and issues in the HIoT system are also discussed. In sum, the current study provides a comprehensive source of information regarding the different fields of application of HIoT intending to help future researchers, who have the interest to work and make advancements in the field to gain insight into the topic.

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“…The scientific experiments showed that the Hb absorbs more red light and reflects less of it, while the HbO 2 absorbs more infrared light and reflects less of it. In respect to that, a common way to conduct the measurements of the two coefficients is by using a Red LED, which emits a red light spectrum, with a wavelength of ~660 nm, and an IR LED which emits a near-infrared light (NIR) spectrum, with a wavelength of ~940 nm [9].…”

Section: Theoretical Aspects and Prototype Developmentmentioning

confidence: 99%

IoT PULSE OXIMETRY STATUS MONITORING FOR HOME QUARANTINED COVID-19 PATIENTS

Miron-Alexe

2020

J. Sci. Arts

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This article represents a prototype experiment regarding the practical implementation of an affordable, wireless, and online monitoring pulse oximetry device, for a Covid-19 infected patient that is quarantined at home. By using an Arduino based IoT (Internet of Things) embedded platform and a free online API (Application Programming Interface) live data stream server, the family physician can remotely monitor the patient’s pulse and blood oxygen level, by using a mobile phone, a tablet or a computer, without any contamination risk or contact, with the infected patient.

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Towards a novel single-LED pulse oximeter based on a multispectral sensor for IoT applications

Cited by 22 publications

References 15 publications

Source–Detector Spectral Pairing-Related Inaccuracies in Pulse Oximetry: Evaluation of the Wavelength Shift

Source–Detector Spectral Pairing-Related Inaccuracies in Pulse Oximetry: Evaluation of the Wavelength Shift

IoT-Based Applications in Healthcare Devices

IoT PULSE OXIMETRY STATUS MONITORING FOR HOME QUARANTINED COVID-19 PATIENTS

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