Data Communication Stability Test a Data Acquisition System (DAQ) for Inpatient Rooms

Sentagi Sesotya Utami; Winny Setyonugroho; Iman Permana; Tri Lestari; Muhammad Dian Saputra Taher; Gilang Ari Widodo; Akhmad Khanif

doi:10.35882/ijeeemi.v5i1.268

Sentagi Sesotya Utami Department of Nuclear and Physics Engineering, Faculty of Engineering, Universitas Gadjah Mada, Indonesia
Winny Setyonugroho Department Hospital Administration, School of Postgraduate, Universitas Muhammadiyah Yogyakarta, Indonesia
Iman Permana Department of Nursing, School of Postgraduate, Universitas Muhammadiyah Yogyakarta, Indonesia
Tri Lestari Department of Information Technology, Politeknik Negeri Padang, Indonesia
Muhammad Dian Saputra Taher Department of Anthropology, Faculty of Cultural Sciences, Universitas Gadjah Mada, Indonesia
Gilang Ari Widodo Department of Electrical Engineering, Faculty of Engineering, Universitas Muhammadiyah Yogyakarta, Indonesia
Akhmad Khanif Department of Anthropology, Faculty of Cultural Sciences, Universitas Gadjah Mada, Indonesia

DOI: https://doi.org/10.35882/ijeeemi.v5i1.268

Abstract

In inpatient services, patient beds are usually limited by curtains or partitions to maintain the patient's safety. At the time of data collection, the barrier or barrier is considered to the effectiveness of the results and validation of medical device sensor data. This study aims to explain the results of the reliability testing of Bluetooth and the internet on hardware and CovWatch applications. This study is action research; comparison is used using devices (tools) with different specifications. Testing internet and Bluetooth connectivity from the CovWatch unit and applications installed on the Samsung A01 devices, Redmi Note 10 and Oppo A57, have mixed results. Hardware CovWatch and Samsung A01 are considered the best in acquiring vital sign data, while Redmi Note 10 and OPPO A57 are not good because some data cannot be obtained so that it does not appear on the monitor unit.

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References

Menteri Kesehatan Republik Indonesia, “Peraturan Menteri Kesehatan Republik Indonesia Nomor 30 Tahun 2022 Tentang Indikator Nasional Mutu Pelayanan Kesehatan Tempat Praktik Mandiri Dokter Dan Dokter Gigi, Klinik, Pusat Kesehatan Masyarakat, Rumah Sakit, Laboratorium Kesehatan, Dan Unit Transfusi Darah,” 2022.

B. M. Jennings, “Chapter 24. Restructuring and Mergers,” vol. 2.

World Health Organization, “Medical devices: managing the mismatch: an outcome of the priority medical devices project,” Dispositivos médicos: la gestión de la discordancia: un resultado del proyecto sobre dispositivos médicos prioritarios, 2010, Accessed: Feb. 16, 2023. [Online]. Available: https://apps.who.int/iris/handle/10665/44407

W. Mohsen et al., “Hepatitis C treatment for difficult to access populations: can telementoring (as distinct from telemedicine) help?,” Intern. Med. J., vol. 49, no. 3, pp. 351–357, 2019, doi: 10.1111/imj.14072.

Texas Instruments, “Wireless Connectivity Technology Selection Guide.”

J. Tosi, F. Taffoni, M. Santacatterina, R. Sannino, and D. Formica, “Performance Evaluation of Bluetooth Low Energy: A Systematic Review,” Sensors, vol. 17, no. 12, p. 2898, Dec. 2017, doi: 10.3390/s17122898.

A. H. Omre and S. Keeping, “Bluetooth Low Energy: Wireless Connectivity for Medical Monitoring,” Journal of Diabetes Science and Technology, vol. 4, no. 2, pp. 457–463, Mar. 2010, doi: 10.1177/193229681000400227.

A. R. Fekr, K. Radecka, and Z. Zilic, “Design and Evaluation of an Intelligent Remote Tidal Volume Variability Monitoring System in E-Health Applications,” IEEE J. Biomed. Health Inform., vol. 19, no. 5, pp. 1532–1548, Sep. 2015, doi: 10.1109/JBHI.2015.2445783.

X. Fafoutis et al., “DesigningWearable Sensing Platforms for Healthcare in a Residential Environment,” EAI Endorsed Transactions on Pervasive Health and Technology, vol. 3, no. 12, p. 153063, Sep. 2017, doi: 10.4108/eai.7-9-2017.153063.

“2010 Index IEEE Transactions on Biomedical Circuits and Systems Vol. 4,” IEEE Trans. Biomed. Circuits Syst., vol. 4, no. 6, pp. 477–487, Dec. 2010, doi: 10.1109/TBCAS.2010.2096330.

V. P. Rachim and W.-Y. Chung, “Wearable Noncontact Armband for Mobile ECG Monitoring System,” IEEE Trans. Biomed. Circuits Syst., vol. 10, no. 6, pp. 1112–1118, Dec. 2016, doi: 10.1109/TBCAS.2016.2519523.

Young-jin Park and Hui-sup Cho, “Transmission of ECG data with the patch-type ECG sensor system using Bluetooth Low Energy,” in 2013 International Conference on ICT Convergence (ICTC), JEJU ISLAND, Korea (South), Oct. 2013, pp. 289–294. doi: 10.1109/ICTC.2013.6675359.

A. M. Chan, N. Selvaraj, N. Ferdosi, and R. Narasimhan, “Wireless patch sensor for remote monitoring of heart rate, respiration, activity, and falls.,” Annu Int Conf IEEE Eng Med Biol Soc, vol. 2013, pp. 6115–6118, 2013, doi: 10.1109/EMBC.2013.6610948.

L. Guo-cheng and Y. Hong-yang, “Design and implementation of a Bluetooth 4.0-based heart rate monitor system on iOS platform,” in 2013 International Conference on Communications, Circuits and Systems (ICCCAS), Chengdu, China, Nov. 2013, pp. 112–115. doi: 10.1109/ICCCAS.2013.6765297.

U. Ghoshdastider, R. Viga, and M. Kraft, “Wireless time synchronization of a collaborative brain-computer-interface using bluetooth low energy,” in IEEE SENSORS 2014 Proceedings, Valencia, Spain, Nov. 2014, pp. 2250–2254. doi: 10.1109/ICSENS.2014.6985489.

K. Kuwabara, Y. Higuchi, T. Ogasawara, H. Koizumi, and T. Haga, “Wearable blood flowmeter appcessory with low-power laser Doppler signal processing for daily-life healthcare monitoring,” in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Chicago, IL, Aug. 2014, pp. 6274–6277. doi: 10.1109/EMBC.2014.6945063.

D. Brunelli, E. Farella, D. Giovanelli, B. Milosevic, and I. Minakov, “Design Considerations for Wireless Acquisition of Multichannel sEMG Signals in Prosthetic Hand Control,” IEEE Sensors J., pp. 1–1, 2016, doi: 10.1109/JSEN.2016.2596712.

M. R. Palattella et al., “Internet of Things in the 5G Era: Enablers, Architecture, and Business Models,” IEEE J. Select. Areas Commun., vol. 34, no. 3, pp. 510–527, Mar. 2016, doi: 10.1109/JSAC.2016.2525418.

H. Wang, M. Xi, J. Liu, and C. Chen, “Transmitting IPv6 Packets over Bluetooth Low Energy based on BlueZ,” 2013.

S. Raza, P. Misra, Z. He, and T. Voigt, “Bluetooth smart: An enabling technology for the Internet of Things,” in 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Abu Dhabi, United Arab Emirates, Oct. 2015, pp. 155–162. doi: 10.1109/WiMOB.2015.7347955.

R. Tabish, A. Ben Mnaouer, F. Touati, and A. M. Ghaleb, “A comparative analysis of BLE and 6LoWPAN for U-HealthCare applications,” in 2013 7th IEEE GCC Conference and Exhibition (GCC), Doha, Qatar, Nov. 2013, pp. 286–291. doi: 10.1109/IEEEGCC.2013.6705791.

N. M. Shah and G. Kaltsakas, “Telemedicine in the management of patients with chronic respiratory failure,” Breathe, vol. 17, no. 1, 2021, doi: 10.1183/20734735.0008-2021.

S. Seidman, W. Kainz, P. Ruggera, and G. Mendoza, “Wireless Coexistence and EMC of Bluetooth and 802.11b Devices in Controlled Laboratory Settings,” Open Biomed Eng J, vol. 5, no. 1, pp. 74–82, Sep. 2011, doi: 10.2174/1874120701105010074.

A. S. Indrayana, R. Primananda, and K. Amron, “Rancang Bangun Sistem Komunikasi Bluetooth Low Energy (BLE) Pada Sistem Pengamatan Tekanan Darah”.

S. Matenge, E. Sturgiss, J. Desborough, S. Hall Dykgraaf, G. Dut, and M. Kidd, “Ensuring the continuation of routine primary care during the COVID-19 pandemic: a review of the international literature,” Family Practice, vol. 39, no. 4, pp. 747–761, Jul. 2022, doi: 10.1093/fampra/cmab115.