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. 2023 Feb 28;13(3):443.
doi: 10.3390/jpm13030443.

New Methodology of Human Health Express Diagnostics Based on Pulse Wave Measurements and Occlusion Test

Affiliations

New Methodology of Human Health Express Diagnostics Based on Pulse Wave Measurements and Occlusion Test

Roman Davydov et al. J Pers Med. .

Abstract

Nowadays, with the increase in the rhythm of life, the relevance of using express diagnostics methods for human health state estimation has significantly increased. We present a new express diagnostics method based on non-invasive measurements (the pulse wave shape, heart rate, blood pressure, and oxygen saturation of blood vessels and tissues). A feature of these measurements is that they can be carried out both in the hospital and at home. The new compact and portable optical hardware-software complex has been developed to measure tissue oxygen saturation. This complex makes it possible to reduce the measurement time from 60 min to 7-8 min, which reduces the likelihood of artifacts in the measurement process and increases its reliability. A new technique has been developed to carry out these measurements. A new optical sensor based on a line of charge-coupled devices has been developed to register a pulse wave in the far peripheral zone. The developed new technique for processing the pulse waveform and data on the oxygen saturation of hemoglobin in the blood and tissues allows a person to obtain additional information about their state of health independently. It will help to make conclusions about taking the necessary measures. This additional information allows the attending physician to provide more effective control over the course of treatment of the patient at any time since the methods of express diagnostics proposed by us have no restrictions on the number of applications. The functional state of more than 300 patients was studied. The results of various measurements are presented.

Keywords: blood; express diagnostics; laser radiation; microcirculation; optical sensor; oxygen; pulse wave; saturation; wavelength.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
The scheme for monitoring the state of human health in express mode.
Figure 2
Figure 2
The pulse waveform (one period) recorded on the finger.
Figure 3
Figure 3
Structural diagram of a tissue oximeter sensor operating on a reflected signal.
Figure 4
Figure 4
Structural diagram of a laboratory model of a hardware–software complex for analyzing the oxygen status of human tissues.
Figure 5
Figure 5
Multichannel spectrum analyzer architecture.
Figure 6
Figure 6
The appearance of the electronic sensor unit of the system, enclosed in a manufactured plastic case.
Figure 7
Figure 7
Testing patients.
Figure 8
Figure 8
Registered pulse waves of the patients at the beginning of testing.
Figure 9
Figure 9
Pulse wave crest processing results. The first patient (a) is a 25-year-old man, (b) is a 28-year-old man, (c) is a 30-year-old man.
Figure 10
Figure 10
Results of processing the rise front of the pulse wave. The first patient (a) is a 25-year-old man, (b) is a 28-year-old man, (c) is a 30-year-old man.
Figure 11
Figure 11
Results of processing the decline front of the pulse wave. The first patient (a) is a 25-year-old man, (b) is a 28-year-old man, (c) is a 30-year-old man.
Figure 12
Figure 12
Dynamics of tissue oximetry parameters during the occlusion test for patient (a).
Figure 13
Figure 13
Dynamics of tissue oximetry parameters during the occlusion test for patient (b).
Figure 14
Figure 14
Dynamics of tissue oximetry parameters during the occlusion test for patient (c).

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