Independent component analysis applied to pulse oximetry in the estimation of the arterial oxygen saturation (S&lt;inf&gt;p&lt;/inf&gt;O&lt;inf&gt;2&lt;/inf&gt;) - a comparative study

Jensen, Thomas; Duun, Sune; Larsen, Jan; Haahr, Rasmus Grønbek; Toft, Mette; Belhage, Bo; Thomsen, Erik Vilain

doi:10.1109/iembs.2009.5333746

Cited by 15 publications

(11 citation statements)

References 18 publications

(8 reference statements)

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“…In addition, it is anticipated that the PPG signal of pulsation is distorted by noise and body motion, so we will apply independent component analysis (ICA) to digital signal processing algorithms to obtain low-noise PPG signals [14]. Generally speaking, it is known that young subjects have a larger 2nd harmonic spectrum than old subjects [9]; this suggests that the present algorithm to separate the data after alcohol intake should be slightly altered.…”

Section: E Utilizing the Oxygen Saturation Levelmentioning

confidence: 99%

Advanced method to mask smoking effect on alcoholic intake detection based on photoplethysmogram signal analysis

2012

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This paper proposes an advanced and reliable alcoholic-intake detection method that analyzes the subject's photoplethysmogram (PPG) signal. Since smoking and physical exercise as well as alcohol intake are crucial determiners of the body's response, we must analyze how they influence the PPG signal in detecting alcohol intake. In contrast to past studies, it is revealed that the respiratory signal is very useful for alcoholintake detection regardless of smoking and physical exercise, and a more reliable alcohol intake detection method is demonstrated. The proposed analytical methods consider not only the harmonic intensity ratio of the PPG signal, but also the oxygen-saturation level (SpO 2 ) in the artery.

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Section: E Utilizing the Oxygen Saturation Levelmentioning

confidence: 99%

Advanced method to mask smoking effect on alcoholic intake detection based on photoplethysmogram signal analysis

2012

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“…It may be necessary to wait over 10 min. [2] A few hours of waiting before measurement may be needed when moving from the ground to the environment of low partial pressure of oxygen on a mountain. Furthermore, the amount of haemoglobin changes [16] during the day due to activities such as rest and work, making measurement more difficult.…”

Section: Measurement Descriptionmentioning

confidence: 99%

“…The following question needs to be addressed: What are the effects of increased carbon dioxide concentration on the oxygencarrying function of haemoglobin? Thomas Jensen et al [2] let their subjects breath within a closed circuit and measured a relatively low blood oxygen saturation rate using a pulse oximeter. On one hand, a non-invasive dual-wavelength pulse oximeter was used in the experiment to measure the oxygen-carrying status of haemoglobin.…”

Section: Introductionmentioning

confidence: 99%

Non-invasive multiwavelength photoplethysmography under low partial pressure of oxygen

Fang

Tai

2016

Journal of Medical Engineering & Technology

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A reduction in partial pressure of oxygen in the environment may be caused by a gain in altitude, which reduces the atmospheric pressure; it may also be caused by the carbon dioxide generated from breathing in an enclosed space. Does inhaling oxygen of lower partial pressure affect the oxygen-carrying function of haemoglobin in vivo? This study uses non-invasive multiwavelength photoplethysmography to measure the effects that inhaling this type of oxygen can have on the plethysmography of the appendages of the body (fingertips). The results indicate that under low partial pressure of oxygen, be it the result of a gain in carbon dioxide concentration or altitude, the change in visible light absorption is the biggest for short wavelengths (approximately 620 or 640 nm) near deoxyhaemoglobin, which has higher absorption coefficient. Moreover, increasing carbon dioxide concentration from 5000 to 10,000 ppm doubly reduces the absorption rate of these short wavelengths.

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“…Typically, a variety of options exist for the parameter extraction algorithm (the first transformer). Taking SpO 2 as an example, the existing methods to determine a coefficient linearly related to SpO 2 include 1) signal amplitude (valley-to-peak & baseline) extraction from the PPGs followed by a ratiometric calculation based on the results, 2) Fourier transformation of the PPGs to extract the peak of each fundamental harmonic [28], which provides equivalent amplitude information as in item 1 that can then be used in a ratiometric calculation, and 3) independent component analysis (ICA) to extract a peak-to-valley ratio directly [29], e.g., the Discrete Saturation Transform used by Masimo Corporation [30]. In commercial products, the actual implementations of these are proprietary and vary across manufacturers.…”

Section: Ppg-based App Librarymentioning

confidence: 99%

Component-based app design for platform-oriented devices in a medical device coordination framework

Warren

Hatcliff

2012

Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium

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Frameworks that promote the intelligent coordination of medical devices are required in ubiquitous health care environments. Such environments are essential to achieve closed-loop behavior, and an emphasis on interoperability standards and reconfigurable hardware/software components will allow these systems to adapt to changing patient/provider needs and technologies. Intelligent medical system design often focuses on smart, complex on-device algorithms. This paper addresses the use of a Medical Device Coordination Framework from the complementary perspective, where devices stream data to an information infrastructure populated with rearrangeable components that can be cascaded to form complex processing apps, or 'transformers.'This approach enables a new paradigm for the design of medical devices that we refer to as "medical platform-oriented devices" (MPODs): devices constructed from sensors/actuators integrated with a medical acquisition and analysis platform that hosts sophisticated software component collections while providing a variety of safety and real-time features relevant to the medical device domain. These components provide capabilities that may have been unsuitable for direct microprocessor implementation, promote the use of parallel analyses (e.g., for parameter verification), and enable the construction of reconfigurable apps.To demonstrate this approach, a set of reconfigurable, componentbased software apps was developed to address medical devices that utilize photoplethysmograms (PPGs). The first app builds upon the behavior of an existing wireless reflectance pulse oximeter that (a) processes raw PPGs to ascertain heart rate, blood oxygen saturation, and respiration rate and (b) makes decisions regarding PPG viability. Other apps address the calculation of pulse wave velocity using multiple PPGs and closed-loop control of PPG quality when determining blood pressure and stroke volume. These scenarios demonstrate the immense potential that a component pool and its related app library provide for biomedical signal analyses and the creation of reconfigurable virtual medical devices.

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Independent component analysis applied to pulse oximetry in the estimation of the arterial oxygen saturation (S<inf>p</inf>O<inf>2</inf>) - a comparative study

Cited by 15 publications

References 18 publications

Advanced method to mask smoking effect on alcoholic intake detection based on photoplethysmogram signal analysis

Advanced method to mask smoking effect on alcoholic intake detection based on photoplethysmogram signal analysis

Non-invasive multiwavelength photoplethysmography under low partial pressure of oxygen

Component-based app design for platform-oriented devices in a medical device coordination framework

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