Title |
Personalized evaluation of life-threatening conditions in chronic kidney disease patients: the concept of wearable technology and case analysis / |
Authors |
Santos Rodrigues, Ana ; Paliakaitė, Birutė ; Daukantas, Saulius ; Sološenko, Andrius ; Petrėnas, Andrius ; Marozas, Vaidotas |
DOI |
10.5220/0000156300003123 |
eISBN |
9789897585524 |
Full Text |
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Is Part of |
BIOSTEC 2022: proceedings of the 15th international joint conference on biomedical engineering systems and technologies, Vol. 4, Biosignals: February 9-11, 2022 / A. Tsanas, A. Fred and H. Gamboa (eds.).. Setubal : SciTePress, 2022. p. 244-250.. ISSN 2184-4305. eISBN 9789897585524 |
Keywords [eng] |
wearable device ; smartwatch ; photoplethysmography ; arrhythmia detection ; electrolyte fluctuations ; biosignal sensors ; hemodialysis |
Abstract [eng] |
The progressive aging of society results in a one-third increase in mortality rates of chronic kidney disease (CKD) patients over the past decade. In the end stage of CKD, 40% of deaths are sudden deaths due to cardiac arrhythmias precipitated by electrolyte imbalance. Unfortunately, there is a lack of technology for unobtrusive long-term monitoring of life-threatening conditions, leading to limited knowledge on arrhythmia characteristics and their relationship with complications. This paper presents a wearable technology prototype to monitor CKD patients between subsequent dialysis procedures. The proposed technology enables at-home monitoring of electrolyte fluctuations and detection of cardiac arrhythmias, such as ventricular tachycardia and extreme bradycardia. A patient uses a wearable wrist-worn device to record continuous photoplethysmogram and intermittent electrocardiogram signals together with a smart device, such as a tablet or a smartphone, to enter meals and medications that may alter electrolyte levels. The application of the proposed wearable technology is demonstrated in a case analysis. The developed wearable technology for monitoring CKD patients in a home environment can be valuable for identifying patients susceptible to dangerous arrhythmias due to electrolyte imbalance. |
Published |
Setubal : SciTePress, 2022 |
Type |
Conference paper |
Language |
English |
Publication date |
2022 |
CC license |
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