The Queue’s Automated Creation of Doctor’s Calls by Patients in the Hospital with Visualization via the Mobile Application
DOI:
https://doi.org/10.13052/jmm1550-4646.19311Keywords:
Automatic doctor calls’ queue, microcontroller system, Platonic polyhedra, determining the direction of the sound source, Mobile ApplicationsAbstract
The spread of the COVID-19 virus is challenging society to provide medical care to a growing number of patients in the hospital. It is important to determine the patient from whom an urgent appeal was received earlier and to automate the creation of the calls’ queue. Determining the direction of the sound source, which is the patient’s voice, can be realized using the passive acoustic location method. In this case, it is necessary to place sound sensors in the wards with patients. In such a case, these sensors it is expedient to build in the lighting equipment executed in the shape of Platonic polyhedra. The microcontroller system, located inside such a spatial structure, ensures the transmission of sound to a server computer system. The above system alternately records the receipt of urgent appeals, analyzes the location of the sound source, and sends the relevant data to the doctor’s smartphone. The mobile application visualizes information about the location of the patients who need consultation or help. The proposed solution for intelligent analysis of voice appeals by inpatients may also be useful for post-stroke, post-infarction, and other bedridden patients who are unable to call medical staff otherwise than a voice.
Downloads
References
H. Qian, X. Wu, Ya. Xu, ‘Intelligent surveillance systems’, Springer Science & Business Media, 2011.
B. Ferguson, P. J. Gendron, Z.-H. (E.) Michalopoulou, K. T. Wong, ‘Introduction to the special issue on acoustic source localization’, The Journal of the Acoustical Society of America, 146 (4647), 2019, https://doi.org/10.1121/1.5140997.
A. Garrido, ‘Discrete Mathematics and Symmetry’, MDPI, 2020.
V. Shurbin, M. Hnesdilov, I. Zhuravska, A. Boiko, V. Polianichkin, V. Burenko, ‘Hardware-software complex to diagnostic and rehabilitation the patients with damages of cervical-thoracic spine and hand nerves’, Proc. of the 2020 IEEE 40th Int. Conf. on Electronics and Nanotechnology (ELNANO’2020), pp. 493–498, 2020, https://doi.org/10.1109/ELNANO50318.2020.9088866.
M. Strohmayer, A. Eberhard, ‘Fruit Pi: Raspberry Pi versus Banana Pi versus Orange Pi’, Martin Strohmayer, 2018.
Y. P. Kondratenko, V. M. Kuntsevich, A. A. Chikrii, V. F. Gubarev, ‘Advanced control systems: Theory and applications’, Series in Automation, Control and Robotics, River Publishers, Gistrup, Delft, 2021.
Z. Byelozyorov, A. Trunov, ‘Increasing quality of the wireless module for monitoring and supervision of sound series of the expanded purpose’, Eastern-European Journal of Enterprise Technologies, 6, 5(114), pp. 28–40, 2021, https://doi.org/10.15587/1729-4061.2021.247658.
O. Tohoiev, I. Burlachenko, I. Zhuravska, V. Savinov, ‘The monitoring system based on a multi-agent approach for moving objects positioning in wireless networks’, CEUR Workshop Proc., 2608, pp. 79–90, 2020.
I. Ahmed, H. Karvonen, T. Kumpuniemi, M. Katz, ‘Wireless communications for the hospital of the future: Requirements, challenges and solutions’, International Journal of Wireless Information Networks, 27(5), pp. 4–217, 2020, https://doi.org/10.1007/s10776-019-00468-1.
I. Zhuravska, K. Obukhova, ‘Modeling of multi-core power consumption during online video conference’, Proc. of the IEEE 11th Int. Conf. on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2021), 2, pp. 640–646, 2021. https://doi.org/10.1109/IDAACS53288.2021.9660941.
I. M. Zhuravska, O. O. Koretska, M. P. Musiyenko, ‘Self-powered information measuring wireless networks using the distribution of tasks within multicore processors’, Proceedings of SPIE, 10445, pp. 1–13, 2017, https://doi.org/10.1117/12.2280965.
I. Zhuravska, K. Obukhova, V. Burenko, ‘Diagnostics of power consumption of a mobile device multi-core processor with detail of each core utilization’, Proc. of the IEEE 15th Int. Conf. on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), pp. 368–372, 2020. https://doi.org/10.1109/TCSET49122.2020.235456.
Y. Y. Korolova, M. A. Miroshnyk, Y. V. Pahomov, ‘Graphic representation of component algorithms in multimedia devices’, Proc. of the 29th Int. Scientific Symp. on Metrology and Metrology Assurance (MMA’2019), pp. 202–206, 2019.
M. Kaczmarek, A. Bujnowski, K. Osiñski, E. Birrer, T. Neumann, and B. Teunissen, ‘Ella4Life virtual assistant – user centered design strategy – evaluation following labolatory tests’, Proc. of the 13th Int. Conf. on Human System Interaction (HSI), pp. 307–311, 2020, https://doi.org/10.1109/HSI49210.2020.9142690.
I. Zhuravska, ‘Remote rehabilitation of the post-stroke patients with the hand and finger nerves damaged through wireless devices in individual conditions’, Journal of Medical Pharmaceutical and Allied Sciences, 10(5), 1594, pp. 3691–3697, 2021, https://doi.org/10.22270/jmpas.V10I5.1594.
S. Kozeruk, O. Serhiienko, ‘Approbation of evaluation techniques of acoustic waves time delay for sound sources localization’, Proc. of the IEEE 38th Int. Conf. on Electronics and Nanotechnology (ELNANO), pp. 582–586, 2018, https://doi.org/10.1109/ELNANO.2018.8477565.
S. O. Kozeruk, D. V. Maznichenko, ‘Determining of source’s coordinates of shot by mean of acoustic waves’, ElectronCommun, 22(1), pp. 45–49, 2017, https://doi.org/10.20535/2312-1807.2017.22.1.79761 (In Ukrainian).
A. Trunov, Z. Byelozyorov, ‘Forming a method for determining the coordinates of sound anomalies based on data from a computerized microphone system’, Eastern-European Journal of Enterprise Technologies, 2, 4(104), pp. 38–50, 2020, https://doi.org/10.15587/1729-4061.2020.201103.
K. W. Lo, B. G. Ferguson, ‘Acoustic ranging of small arms fire using a single sensor node collocated with the target’, The Journal of the Acoustical Society of America, 137 (EL422), 2015, https://doi.org/10.1121/1.4921447.
R. E. Hudson, K. Yao, J. C. Chen, ‘Acoustic source localization and beamforming: Theory and practice’, EURASIP journal on advances in signal processing, 4, 2003, https://doi.org/10.1155/S1110865703212038.
Boomerang Gunshot Detection, Raytheon Intelligence & Space, pp. 1–4, July 24, 2020 [Online], https://prd-sc101-cdn.rtx.com/-/media/ris/what-we-do/modernization-mission-support/mission-support/boomerang/2020-10/files/boomerang_data.pdf?rev=b3b7837160db47cca32e50a01a7d175b. Accessed: 2022-02-19.
Absorption coefficients of common building materials and finishes [Online], https://www.acoustic-supplies.com/absorption-coefficient-chart/. Accessed: 2022-07-18.
M. Sewtz, X. Luo, J. Landgraf, T. Bodenmüller, R. Triebel, ‘Robust approaches for localization on multi-camera systems in dynamic environments’, Proc. of the IEEE 7th Int. Conf. on Automation, Robotics and Applications (ICARA), pp. 211–215, 2021, https://doi.org/10.1109/ICARA51699.2021.9376475.
D. Rumiankov, I. Zhuravska, L. Solobuto, M. Musiyenko, ‘Reduction of noise similar to solar interference in computer networks based on power line communication’, Proc. of the 8th IEEE Int. Conf. on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2017), 1, pp. 215–221, 2017, https://doi.org/10.1109/IDAACS.2017.8095079.
H. Ukhina, V. Sytnikov, O. Streltsov, P. Stupen, V. Kudria, ‘Application of the computer system component with adjustment elements for processing sensor signals’, Proc. of the 11th IEEE Int. Conf. on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS 2021), 1, pp. 12–17, 2021, https://doi.org/10.1109/IDAACS53288.2021.9660992
H. Ukhina, V. Sytnikov, O. Streltsov, P. Stupen, V. Kudria, ‘Using similar filters to build the sensor signal digital processing path’, Lecture Notes in Networks and Systems, 217, pp. 433–442, 2022, https://doi.org/10.1007/978-981-16-2102-4_40.
C. Anastopoulos, ‘Particle or Wave: The Evolution of the Concept of Matter in Modern Physics’, Princeton University Press, 2020.
J.-F. Gabriel, ‘Beyond the cube: The architecture of space frames and polyhedra’, John Wiley & Sons, 1997.
Tetrahedron and light (n.d.) [Online], http://ve4no.blogspot.com/2010/05/blog-post.html (In Russian). Accessed: 2022-02-19.
Leniure gold cubic LED light pendant lamp chandelier [Online], https://www.amazon.com/Cubic-Pendant-Chandelier-Lighting-Fixture/dp/B07KSG39L7/. Accessed: 2022-02-19.
Octahedron light, shining light, pendant light [Online], https://www.etsy.com/il-en/listing/765152952/octahedron-light-shining-light-pendant. Accessed: 2022-02-19.
Factory price loft modern industrial retro restaurant chandelier solid wood hexahedron diamond E27 [Online], https://www.amazon.com/Industrial-Restaurant-Chandelier-Hexahedron-American/dp/B09T3BPJL3/. Accessed: 2022-02-19.
Pendant dodecahedron lamp [Online], https://www.etsy.com/il-en/listing/590494385/pendant-dodecahedron-lamp-geometric. Accessed: 2022-02-19.
V. Ziemann, ‘A hands-on course in sensors using the Arduino and Raspberry Pi’, CRC Press, 2018.
Wireless sound sensor. (n.d.). Pasco [Online], https://www.pasco.com/. Accessed: 2022-02-19.
Autodesk: Educators [Online], https://www.autodesk.com/education/educators https://www.autodesk.com/education/home. Accessed: 2022-02-19.
E26 12V Low Voltage LED Light Bulbs Warm White 3000K, E27 Edison Standard [Online], https://www.amazon.com/Standard-DC12-24V-Equivalent-Off-Grid-Landscape-Pack/dp/B07RGJ4BH6/. Accessed: 2022-02-19.
BS EN 12464-1:2021. Light and lighting. Lighting of work places Indoor work places [Online], https://www.en-standard.eu/search/?q=12464-1-2021. Accessed: 2022-07-18.
DBN V.2.5-28:2018. Natural and artificial lighting [Online], https://www.minregion.gov.ua/wp-content/uploads/2018/09/DBN_Osvitlennya-ostatochna.pdf. Accessed: 2022-07-18.
Dewenwils table top inline dimmer switch and warm white dimmable LED light bulb [Online], https://www.amazon.com/dp/B07CZXLNWL/. Accessed: 2022-07-18.
S. Kalajdzievski, ‘Math and art: An introduction to visual mathematics’, CRC Press, 2021.
ISO 8995-1:2002. Lighting of work places – Part 1: Indoor [Online], https://www.iso.org/obp/ui/#iso:std:iso:8995:-1:ed-1:v1:en. Accessed: 2022-02-19.
What is the ideal hospital temperature for patient comfort and facility efficiency? [Online], https://www.primexinc.com/. Accessed: 2022- 07-18.
R. Mora, M. Meteyer, ‘Using thermal comfort models in health care settings’, Preprint, HO-18-003, 12 p., July 16, 2018 [Online], https://commons.bcit.ca/besys/files/2018/08/Thermal-comfort-health-care.pdf. Accessed: 2022-07-18.
S. Sattayakorn, M. Ichinose, R. Sasaki, ‘Clarifying thermal comfort of healthcare occupants in tropical region: A case of indoor environment in Thai hospitals’, Energy and Buildings, 149, pp. 45–57, 2017, https://doi.org/10.1016/j.enbuild.2017.05.025.
WolfreeAlpha: FREE Wolfram|Alpha Step-by-Step Solution [Online], https://wolfreealpha.github.io/. Accessed: 2022-02-14.
M. Stauffer, ‘Laravel: Up & Running: A framework for building modern PHP apps’, 2nd ed., O’Reilly Media, 2019.
E. Freeman, E. Robson, ‘Head first design patterns : Building extensible and maintainable object-oriented software’, O’Reilly Media, 2020.
Eloquent: Getting started [Online], https://laravel.com/docs/8.x/eloquent. Accessed: 2022-02-14.
M. Dvoretskyi, S. Dvoretska, H. Horban, Y. Nezdoliy, ‘Optimization of the database structure of a distributed corporate information system node using the analytic hierarchy process’, CEUR Workshop Proc., 2845, pp. 193–203, 2020.
C. Griffith, ‘Mobile app development with Ionic. Revised Edition: Cross-Platform Apps with Ionic, Angular, and Cordova’, O’Reilly Media, 2017.
N. Murray, F. Coury, A. Lerner, C. Taborda, ‘Ng-book: The complete guide to Angular’, CreateSpace Independent Publishing Platform, 2018.
Y. Kondratenko, I. Atamanyuk, I. Sidenko, G. Kondratenko, S. Sichevskyi, ‘Machine learning techniques for increasing efficiency of the robot’s sensor and control information processing’, Sensors, 22(3), 1062, 2022, https://doi.org/10.3390/s22031062.
I. Kovalenko, A. Shved, K. Antipova, Y. Davydenko, ‘Structuring of a transaction database using the rough set theory’, CEUR Workshop Proc., 2608, pp. 278–287, 2020.
M. Dvoretskyi, S. Dvoretska, Y. Nezdoliy, S. Borovlova, ‘Data utility assessment while optimizing the structure and minimizing the volume of a distributed database node’, CEUR Workshop Proc., 2516, pp. 128–137, 2019.
Comparative examples of noise levels [Online], https://www.iacacoustics.com/blog-full/comparative-examples-of-noise-levels.html. Accessed: 2022-07-18.
F. Astin, J. Stephenson, J. Wakefield, et al., ‘Night-time noise levels and patients’ sleep experiences in a medical assessment unit in Northern England’, The Open Nursing Journal, 14, pp. 80–91, 2020, https://doi.org/10.2174/1874434602014010080.
