Novel high-resolution nanosensor-based measuring equipment for ECG recording

Avdeeva, Diana Konstantinovna; Ivanov, Maxim Leonidovich; Yuzhakov, Mikhail; Turushev, Nikita Vladimirovich; Kodermiatov, Radik A.; Максимов, И. В.; Zimin, Ilya

doi:10.1016/j.measurement.2019.06.023

Cited by 8 publications

(4 citation statements)

References 44 publications

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“…Instead, we opted for nanoelectrodes developed in the Laboratory of Medical Engineering, Tomsk Polytechnic University. They exhibit low noise and electrode-skin impedance and allow biosignal recording with both wet and dry contact without any contact-enhancing substances [ 14 ]. The material of the electrodes is highly durable, with no deterioration of characteristics over time.…”

Section: Methodsmentioning

confidence: 99%

Blue as an Underrated Alternative to Green: Photoplethysmographic Heartbeat Intervals Estimation under Two Temperature Conditions

Shchelkanova

Shchapova

Shchelkanov

et al. 2021

Sensors

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Since photoplethysmography (PPG) sensors are usually placed on open skin areas, temperature interference can be an issue. Currently, green light is the most widely used in the reflectance PPG for its relatively low artifact susceptibility. However, it has been known that hemoglobin absorption peaks at the blue part of the spectrum. Despite this fact, blue light has received little attention in the PPG field. Blue wavelengths are commonly used in phototherapy. Combining blue light-based treatments with simultaneous blue PPG acquisition could be potentially used in patients monitoring and studying the biological effects of light. Previous studies examining the PPG in blue light compared to other wavelengths employed photodetectors with inherently lower sensitivity to blue, thereby biasing the results. The present study assessed the accuracy of heartbeat intervals (HBIs) estimation from blue and green PPG signals, acquired under baseline and cold temperature conditions. Our PPG system is based on TCS3472 Color Sensor with equal sensitivity to both parts of the light spectrum to ensure unbiased comparison. The accuracy of the HBIs estimates, calculated with five characteristic points (PPG systolic peak, maximum of the first PPG derivative, maximum of the second PPG derivative, minimum of the second PPG derivative, and intersecting tangents) on both PPG signal types, was evaluated based on the electrocardiographic values. The statistical analyses demonstrated that in all cases, the HBIs estimation accuracy of blue PPG was nearly equivalent to the G PPG irrespective of the characteristic point and measurement condition. Therefore, blue PPG can be used for cardiovascular parameter acquisition. This paper is an extension of work originally presented at the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

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Section: Methodsmentioning

confidence: 99%

Blue as an Underrated Alternative to Green: Photoplethysmographic Heartbeat Intervals Estimation under Two Temperature Conditions

Shchelkanova

Shchapova

Shchelkanov

et al. 2021

Sensors

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“…The three-channel nanosensor-based hardware and software complex (HSC) was used to study the psycho-emotional state on volunteers (Avdeeva et al, 2019).…”

Section: Samples and Research Methodsmentioning

confidence: 99%

“…High resolution of the HSC is ensured by nanosensors (Avdeeva et al, 2019). High metrological characteristics of nanosensors are due to the special technology of implanting Ag nanoparticles into the pores of porous ceramic diaphragm.…”

Section: Samples and Research Methodsmentioning

confidence: 99%

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Results of recording electrophysiological signals by nanosensors during tests on volunteers

Avdeeva

Guo

Nguyen

et al. 2020

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Purpose The purpose of this paper is to analyze the results of recording electrophysiological signals by nanosensors during tests on volunteers using neutral questions and questions that cause excitement. Design/methodology/approach The nanosensor-based hardware and software complex (HSC) was used for simultaneous recording of electrocardiogram, electroencephalogram and galvanic skin response during tests on volunteers using neutral questions and questions that cause excitement. The recording was carried out in real time without averaging and filtering in the extended frequency range from 0 to 10,000 Hz, level of more than 1 µV and sampling frequency equal to 64 kHz. Findings For the first time, the following signals were recorded by nanosensors without filtering and averaging in the measuring channels: real-time micropotentials on an electrocardiogram with a duration of 0.2 ms and a level of 1 µV or more. Also, for the first time, changes in the shape and amplitude of the P wave, slow waves on the electroencephalography (EEG), high impulse activity of the EEG and impulse activity of short duration on the GSR were recorded in response to questions that cause excitement. Practical implications The obtained results will be used for high-resolution equipment to develop additional measuring channels in existing types of equipment for psychophysiological studies. Originality/value For the first time, new data undistorted by filters was obtained on the amplitude and time parameters of electrophysiological signals in the frequency range from 0 to 10,000 Hz in response to questions that cause excitement, which was due to high sensitivity and noise immunity of nanosensors in comparison with existing electrodes for biopotential recording.

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New Approaches to Stratification of Patients by the Level of Sudden Cardiac Death Risk Using the Data on Energies of Cardiac Micropotentials Obtained by Nanosensor-Based Hardware and Software Complex

Avdeeva

Максимов

Guo

et al. 2021

Progress in Material Science and Engineering

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Novel high-resolution nanosensor-based measuring equipment for ECG recording

Cited by 8 publications

References 44 publications

Blue as an Underrated Alternative to Green: Photoplethysmographic Heartbeat Intervals Estimation under Two Temperature Conditions

Blue as an Underrated Alternative to Green: Photoplethysmographic Heartbeat Intervals Estimation under Two Temperature Conditions

Results of recording electrophysiological signals by nanosensors during tests on volunteers

New Approaches to Stratification of Patients by the Level of Sudden Cardiac Death Risk Using the Data on Energies of Cardiac Micropotentials Obtained by Nanosensor-Based Hardware and Software Complex

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