Maintenance and Counseling of the ECG Machine at the Puskesmas Deket Lamongan in an Effort to Maintain Continuity of Services for the Community

Dyah Titisari; Triwiyanto Triwiyanto; Dwi Herry Handayani

doi:10.35882/ficse.v1i1.2

Authors

Dyah Titisari Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya https://orcid.org/0000-0003-0125-2384
Triwiyanto Triwiyanto Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya https://orcid.org/0000-0003-3179-8900
Dwi Herry Handayani Department of Electromedical Engineering, Poltekkes Kemenkes Surabaya

DOI:

https://doi.org/10.35882/ficse.v1i1.2

Keywords:

EKG, community services, maintanance, training

Abstract

Some of the problems faced by partners include the EKG machine in the publich health center (Puskesmas) at the Puskesmas Deket, Lamongan, which has a fairly high workload on daily use, considering that the population in the working area of the Deket Health Center is 44,193 people, so maintenance is mandatory to be carried out regularly to maintain sustainability. the function of the tool on the other side of the Deket, Lamongan health center there are no special personnel or technicians who carry out routine and periodic maintenance of the ECG machine. Therefore, community service activities in the form of counseling and assistance for health workers at the Deket Health Center, Lamongan are important so that they can carry out ECG machine maintenance activities independently. Furthermore, for the last 5 years or so, health workers at the Deket Health Center, Lamongan have received less training or workshops related to the maintenance of the ECG machine. As a completion step, it is necessary to carry out implementation steps through methods, namely communicating with the head of the Deket Health Center, Lamongan Regency to prepare for the right day and target participants to receive ECG maintenance counseling activities at partners, provide counseling for health workers or the person in charge ECG so the next step is to carry out maintenance activities together. With the method we propose, partners can learn together in implementing the SOPs that have been delivered during the counseling. Furthermore, lecturers and students regularly provide assistance for partners in carrying out maintenance activities for 7 months so that partners are expected to carry out maintenance activities independently. The results obtained after carrying out community service activities are ECG machine operators can use the machine well. Several problems related to the irregular display of the ECG recording can be resolved properly, after replacing the ECG electrode cable section. Maintenance of electromedical equipment, especially ECG is important to be done regularly so that the ECG machine can be operated at any time.

References

K. K. B. P. dan P. Kesehatan, “Hasil Utama Riset Kesehatan Dasar,” Kementrian Kesehat. Republik Indones., pp. 1–100, 2018.

R. Jane et al., “Estimation of heart rate during sleep measured from a gyroscope embedded in a CPAP mask,” in IEEE Pulse, 2014, vol. 5, no. 5, pp. 1–6.

A. S. Mohamad and H. M. Noor, “Development of smart ECG machine using LabVIEW for biomedical engineering students,” in Engineering Technology and Technopreneuship (ICE2T), 2014 4th International Conference on, 2014, pp. 320–323.

G. D. Gargiulo, “True Unipolar ECG Machine for Wilson Central Terminal Measurements,” Biomed Res. Int., vol. 2015, 2015.

B. G. Irianto, B. Budhiaji, and D. H. Andayani, “A low-cost electro-cardiograph machine equipped with sensitivity and paper speed option,” TELKOMNIKA (Telecommunication Comput. Electron. Control., vol. 17, no. 3, p. 1275, 2019.

T. Jeon, B. Kim, M. Jeon, and B. G. Lee, “Implementation of a portable device for real-time ECG signal analysis,” Biomed. Eng. Online, vol. 13, no. 1, pp. 1–14, 2014.

C. Yanuar Dini, M. Sabila, I. Yusuf Habibie, F. Ari Nugroho, and J. Gizi Fakultas Kedokteran Universitas Brawijaya Malang, “Indonesian Journal of Human Nutrition Asupan Vitamin C dan E Tidak Mempengaruhi Kadar Gula Darah Puasa Pasien DM Tipe 2,” Indones. J. Hum. Nutr., vol. 4, pp. 65–78, 2017.

J. Lee, D. D. McManus, S. Merchant, and K. H. Chon, “Automatic motion and noise artifact detection in holter ECG data using empirical mode decomposition and statistical approaches,” IEEE Trans. Biomed. Eng., vol. 59, no. 6, pp. 1499–1506, 2012.

R. Sameni, M. B. Shamsollahi, and C. Jutten, “Filtering Electrocardiogram Signals Using the Extended Kalman Filter,” 27th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc., vol. 6, pp. 5639–5642, 2005.

B. Pambianco, A. Sbrollini, I. Marcantoni, M. Morettini, S. Fioretti, and L. Burattini, “Electrocardiogram Derived Respiratory Signal through the Segmented-Beat Modulation Method,” Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. EMBS, vol. 2018–July, pp. 5681–5684, 2018.

M. Umer, B. A. Bhatti, M. H. Tariq, M. Zia-ul-hassan, M. Y. Khan, and T. Zaidi, “Electrocardiogram Feature Extraction and Pattern Recognition Using a Novel Windowing Algorithm,” no. October, pp. 886–894, 2014.

B. Yazdanpanah, G. S. N. Raju, and K. S. Kumar, “Reduction Noise of ECG Signal Using Extended Kalman Filter,” vol. 3, no. 9, pp. 1029–1033, 2014.

G. Aditya, M. Oka, A. Pudji, M. Ridha, and E. Yulianto, “Design of Vital Sign Monitor with ECG , BPM , and Respiration Rate Parameters,” in Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics, vol. 3, no. 1, 2021, pp. 34–38.

M. Nezar, A. Mufarid, and A. Pudji, “Central Monitor Based On Personal Computer Using One Wireless Receiver,” Indones. J. Electron. Electromed. Eng. Med. Informatics, vol. 1, no. 1, pp. 7–13, 2019.

J. Black et al., “Mobile solutions for front-line health workers in developing countries,” 2009 11th IEEE Int. Conf. e-Health Networking, Appl. Serv. Heal. 2009, pp. 89–93, 2009.

S. C. Lai et al., “Low-cost prototype design of a portable ECG signal recorder,” in 2016 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2016, 2017, pp. 160–163.

A. Y. Hannun et al., “Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network,” Nat. Med., vol. 25, no. 1, pp. 65–69, 2019.

M. A. Ahamed and M. Ahmad, “A Cost-Effective Multichannel Wireless ECG Acquisition System,” in 2018 10th International Conference on Electrical and Computer Engineering (ICECE), 2018, pp. 397–400