| Abstract [eng] |
Kidney failure, over the years, becomes an increasingly common health disorder. People suffering from kidney failure constantly experience recurrent health problems. In order to maintain a good health, a patient should frequently visit medical facilities to have cardiac monitoring analysis, hemodialysis and various blood tests to assess the levels of electrolytes in the blood. However, this causes many inconveniences to patients, so ways have been sought to facilitate the diagnosis of this group of patients. The aim of the whole project is to create a system for detecting electrolyte imbalance in a non-invasive way - from ECG or FPG, and the aim of my work is to contribute to the development of a system for patient data collection and to study the options for electrolytic electrolyte detection. In this research were reviewed 6 devices that can perform an ECG or PPG at home. It compares how long an ECG can be recorded, which derivations are obtained, and how the data is analyzed. Part of those devices can detect atrial fibrillation and irregular heartbeat and inform users about it. Filters for processing extraneous noise between the signals of interest were also reviewed. They are needed to remove unnecessary noise from the ECG and leave only those signals that are caused by the patient’s heart. The technical goal of this work is to create a system that would help collect data from patients about their food and medications usage and allow physicians and researchers to monitor the patient’s condition. From the pooled data, the system calculates the amounts of material obtained. The physician may also compile additional data from blood tests and assign them to a specific patient so that the data is generated immediately upon use of the system and submitted to the researcher for further testing. Although the system sends reminders when it notices that the patient has not filled the products they have consumed, the doctor can send active messages with recommendations. The patient’s system works with the ‘‘Android’’ operating system, while the doctor's system with the ‘‘Android’’ and ‘‘iOS’’ operating systems. Meanwhile, for researchers has been created a website. During the work, the patients' use of the system was analyzed, thus determining its advantages and deficiencies. The QRS-T angle was also examined and an attempt was made to determine the amount of electrolytes in the blood from the patient's cardiogram. The QRS-T angle was calculated from the ECG. In this research there were calculated two angles - one from 4, 7 and 12 leads and the other from 3, 5 and 11 leads. These data were correlated with the available blood test results: potassium, calcium, magnesium, lactate, pH, chlorine, sodium, bicarbonate, and triose phosphate levels to get regressions with different algorithms. Analysis were done using data of 21 patients with a mean age of 68 years (from 37 to 90 years). |
