Finger and forehead PPG signal comparison for respiratory rate estimation

Hernando, Alberto; Peláez-Coca, María Dolores; Lozano, Marı́a Teresa; Lázaro, Jesús; Gil, Eduardo

doi:10.1088/1361-6579/ab3be0

Cited by 25 publications

(16 citation statements)

References 34 publications

(69 reference statements)

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“…However, there is evidence that while IM band activity and respiration are closely related processes, they are yet distinct 10 , 43 . This is supported by other authors reporting LF changes associated with waves formerly referred to as Mayer-Traube-Hering oscillations being only slightly affected by respiration 44 , 45 .…”

Section: Methodssupporting

confidence: 82%

On the spatial phase distribution of cutaneous low-frequency perfusion oscillations

Borik

Lyra

Perlitz³

et al. 2022

Sci Rep

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Distributed cutaneous tissue blood volume oscillations contain information on autonomic nervous system (ANS) regulation of cardiorespiratory activity as well as dominating thermoregulation. ANS associated with low-frequency oscillations can be quantified in terms of frequencies, amplitudes, and phase shifts. The relative order between these faculties may be disturbed by conditions colloquially termed ‘stress’. Photoplethysmography imaging, an optical non-invasive diagnostic technique provides information on cutaneous tissue perfusion in the temporal and spatial domains. Using the cold pressure test (CPT) in thirteen healthy volunteers as a well-studied experimental intervention, we present a method for evaluating phase shifts in low- and intermediate frequency bands in forehead cutaneous perfusion mapping. Phase shift changes were analysed in low- and intermediate frequency ranges from 0.05 Hz to 0.18 Hz. We observed that time waveforms increasingly desynchronised in various areas of the scanned area throughout measurements. An increase of IM band phase desynchronization observed throughout measurements was comparable in experimental and control group, suggesting a time effect possibly due to overshooting the optimal relaxation duration. CPT triggered an increase in the number of points phase-shifted to the reference that was specific to the low frequency range for phase-shift thresholds defined as π/4, 3π/8, and π/2 rad, respectively. Phase shifts in forehead blood oscillations may infer changes of vascular tone due to activity of various neural systems. We present an innovative method for the phase shift analysis of cutaneous tissue perfusion that appears promising to assess ANS change processes related to physical or psychological stress. More comprehensive studies are needed to further investigate the reliability and physiological significance of findings.

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Section: Methodssupporting

confidence: 82%

On the spatial phase distribution of cutaneous low-frequency perfusion oscillations

Borik

Lyra

Perlitz³

et al. 2022

Sci Rep

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“…Nonetheless, neither of the mentioned studies have considered RR estimation from the regressed respiratory components. Although it may be inequitable to compare the quality of estimated RR from fNIRS with PPG-based studies, our results are still comparable to [ 34 ], where both the finger and forehead PPG data were used.…”

Section: Discussionsupporting

confidence: 64%

“…The average AE of all trials was 2.6 BPM. Given the reported results from the PPG-based studies for RR estimation [ 32 , 33 , 34 ], the obtained results indicate the feasibility of the proposed method for RR estimation from fNIRS. According to the conducted statistical analysis between the reference and estimated RRs, except for the subject 8, there is no significant difference (

).…”

Section: Experimental Resultsmentioning

confidence: 58%

“…Before starting the experiment, the subjects were briefed on the procedure and instructed on how to perform the tasks, in English. The data recording protocol for RR estimation, which was adapted from [ 32 , 33 , 34 ], is shown in Figure 5 . As displayed, it consisted of one block of a resting period lasting for 60 s (A), followed by two blocks of breathing control tasks (B and D), separated by a 30 s rest period (C).…”

Section: Datamentioning

confidence: 99%

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Estimation of Respiratory Rate from Functional Near-Infrared Spectroscopy (fNIRS): A New Perspective on Respiratory Interference

Hakimi

Shahbakhti

Sappia³

et al. 2022

Biosensors

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Objective: Respiration is recognized as a systematic physiological interference in functional near-infrared spectroscopy (fNIRS). However, it remains unanswered as to whether it is possible to estimate the respiratory rate (RR) from such interference. Undoubtedly, RR estimation from fNIRS can provide complementary information that can be used alongside the cerebral activity analysis, e.g., sport studies. Thus, the objective of this paper is to propose a method for RR estimation from fNIRS. Our primary presumption is that changes in the baseline wander of oxygenated hemoglobin concentration (O2Hb) signal are related to RR. Methods: fNIRS and respiratory signals were concurrently collected from subjects during controlled breathing tasks at a constant rate from 0.1 Hz to 0.4 Hz. Firstly, the signal quality index algorithm is employed to select the best O2Hb signal, and then a band-pass filter with cut-off frequencies from 0.05 to 2 Hz is used to remove very low- and high-frequency artifacts. Secondly, troughs of the filtered O2Hb signal are localized for synthesizing the baseline wander (S1) using cubic spline interpolation. Finally, the fast Fourier transform of the S1 signal is computed, and its dominant frequency is considered as RR. In this paper, two different datasets were employed, where the first one was used for the parameter adjustment of the proposed method, and the second one was solely used for testing. Results: The low mean absolute error between the reference and estimated RRs for the first and second datasets (2.6 and 1.3 breaths per minute, respectively) indicates the feasibility of the proposed method for RR estimation from fNIRS. Significance: This paper provides a novel view on the respiration interference as a source of complementary information in fNIRS.

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“…Reflectance PPG sensors utilize a light detector adjacent to the emitter and are ideal for single-point contact readings [10]. The most widely utilized locations for reflectance PPG includes the wrist, forearm, ankle, forehead, and torso [11,12]. Typically, these sensors are positioned on the skin using cuffs, or clips, as there is a required amount of pressure needed to apply the sensor to obtain the most accurate and reliable signal [4,13].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Photoplethysmography Behind the Ear for Pulse Oximetry in Hypoxic Conditions with a Novel Device (SPYDR)

Bradke

Everman²

2020

Biosensors

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Photoplethysmography (PPG) is a valuable technique for noninvasively evaluating physiological parameters. However, traditional PPG devices have significant limitations in high-motion and low-perfusion environments. To overcome these limitations, we investigated the accuracy of a clinically novel PPG site using SPYDR®, a new PPG sensor suite, against arterial blood gas (ABG) measurements as well as other commercial PPG sensors at the finger and forehead in hypoxic environments. SPYDR utilizes a reflectance PPG sensor applied behind the ear, between the pinna and the hairline, on the mastoid process, above the sternocleidomastoid muscle, near the posterior auricular artery in a self-contained ear cup system. ABG revealed accuracy of SPYDR with a root mean square error of 2.61% at a 70–100% range, meeting FDA requirements for PPG sensor accuracy. Subjects were also instrumented with SPYDR, as well as finger and forehead PPG sensors, and pulse rate (PR) and oxygen saturation (SpO2) were measured and compared at various reduced oxygen profiles with a reduced oxygen breathing device (ROBD). SPYDR was shown to be as accurate as other sensors in reduced oxygen environments with a Pearson’s correlation >93% for PR and SpO2. In addition, SPYDR responded to changes in SpO2 up to 50 s faster than PPG measurements at the finger and forehead.

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Finger and forehead PPG signal comparison for respiratory rate estimation

Cited by 25 publications

References 34 publications

On the spatial phase distribution of cutaneous low-frequency perfusion oscillations

On the spatial phase distribution of cutaneous low-frequency perfusion oscillations

Estimation of Respiratory Rate from Functional Near-Infrared Spectroscopy (fNIRS): A New Perspective on Respiratory Interference

Investigation of Photoplethysmography Behind the Ear for Pulse Oximetry in Hypoxic Conditions with a Novel Device (SPYDR)

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