A.G. Armaganov – Leading Specialist, Research Laboratory of Computer Technology in Medicine, Medical Research and Educational Center of Lomonosov Moscow State University
A.N. Pirogov – cardiologist, Research Laboratory of Computer Technology in Medicine, Medical Research and Educational Center of Lomonosov Moscow State University
A.A. Sedov – Senior Research Scientist, Research Laboratory of Computer Technology in Medicine, Medical Research and Educational Center of Lomonosov Moscow State University
Growing of elderly age peoples part in population promotes global accretion of remote monitoring solutions. It happen because elderly age peoples often suffer from cardiovascular diseases, and need in constant observation.
Also acts the focusing from treatment to prevention and control of diseases result to progress in this direction.
Target of this research is to develop experimental sample of wearable device, which will be small and allows to receive patients hemodynamic data. Also this device will have opportunity to send collected data to cloud server with using of wireless channel.
Authors select the photoplethysmography technology as main method of collecting a data. Other functions is register the temperature and motion activity accordantly with hemodynamic.
Interaction with cloud server is mediating by smartphone.
Also developed the software for server. This software allows to collect patients data and make conference
Tasks, that was solved in this research is:
Finding the optimal place of device installation;
Definition of requirements to weight, size, binding type, water resistance;
Select the type of optical sensor;
Definition of requirements to software in mobile devices and a server side;
Definition of requirements to analytical software.
Object of research is pulse wave, and its characteristics, defines a cardiovascular system state. Main of them is:
Results of research is:
Reflection technology selected as main technology of pulse wave registration;
Developed design-construction as flat plastic tablet is small window for optical sensor and infrared sensor;
Developed 25mm single-board electronic module with planar optic sensor, integrated 2 LED-s, 3-axis accelerometer, microprocessor and Bluetooth module;
Determined minimal construction size of device.
Determined set of requirements to software.
And main result of research now is creation of experimental batch of devices fo ambulatory monitoring.
Conclusions. Ambulatory hemodynamic monitoring is very promising technology to creation of daily monitoring devices, witch can be used for estimation of vascular function, screening, long-time monitoring.
Developing and using a software for smartphones allows immediately count a lot of important criterion of cardiovascular system state.
Using of smartphones also give the opportunities to make text, audio, and video communications between patients and doctors.
- Nichols M., Townsend N., Scarborough P., Luengo-Fernandez R., Leal J., Gray A., Rayner M. European Cardiovascular Disease Statistics (2012) // European Heart Network, Brussels and European Society of Cardiology. 2012.
- Ford E.S., Capewell S. Proportion of the decline in cardiovascular mortality disease due to prevention versus treatment: public health versus clinical care // Annu Rev Public Health. 2011. V. 32. P. 5–22.
- John Allen. Photoplethysmography and its application in clinical physiological measurement // Physiological Measurement. 2007. V. 28. P. R1–39.
- Alian A.A., Shelley K.H. Photoplethysmography // Best Practice & Research Clinical Anaesthesiology. 2014. V. 28. P. 395–406.
- Changmok Choi, Byung-Hoon Ko, Jongwook Lee, Seung Keun Yoon, Uikun Kwon, Sang Joon Kim, Younho Kim. PPG pulse direction determination algorithm for PPG waveform inversion by wrist rotation // Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2017. P. 4090–4093.
- Chowdhury S.S., Hyder R., Hafiz M.S.B., Haque M.A. Real-Time Robust Heart Rate Estimation From Wrist-Type PPG Signals Using Multiple Reference Adaptive Noise Cancellation // IEEE Journal of Biomedical and Health Informatics. 2018. V. 22. P. 450–459.
- Moço Andreia, Stuijk Sander, de Haan Gerard. Ballistocardiographic Artifacts in PPG Imaging // IEEE Trans Biomed Eng. 2015. V. 63. P. 1–11.
- Rogatkin D.A. Fizicheskie osnovy opticheskoj oksimetrii // Medicinskaya fizika. 2012. № 2. S. 97–114.
- Parfenov A.S. Rannyaya diagnostika serdechno-sosudistyh zabolevanij s ispol'zovaniem apparatno-programmnogo kompleksa Angioskan-01 // Poliklinika. 2012. № 1–2. S. 70–74.
- Madhan Mohan P., Nagarajan V., Vignesh J.C. Spot measurement of heart rate based on morphology of PhotoPlethysmoGraphic (PPG) signals // Journal of Medical Engineering & Technology. 2017. V. 41. P. 87–96.
- CHistyakov V. Pul'soksimetriya ot Maxim: novyj datchik MAX30102 // Novosti elektroniki. 2016 № 7.
- GOST R ISO 9919-2007. Izdeliya medicinskie elektricheskie. CHastnye trebovaniya bezopasnosti i osnovnye harakteristiki pul'sovyh oksimetrov.