Computer aided embedded medical system and clinical treatment effect of heart failure based on clinical data

Abstract Remote monitoring of heart disease provides a method of hardware and software under the supervision of the patient to maintain a constant support combination. Development and implementation of remote predictive monitoring of heart failure and management of this medical equipment method. The three-part system, the data center including a medical doctor, as the end of data acquisition, Data storage and analysis, as well as patients with end diagnosis and intervention. Based system, the prognosis, the blood-brain natriuretic peptide (systolic and diastolic), and the main purpose of the original hormone level evolving heart failure patients (HF) in the acknowledgement (NT-proBNP levels) by N-terminal. There are at risk pressure and in a domestic environment non-invasively measured body weight. And non-HF patients with heart failure to achieve predicted by the structure Support Vector Machine (SVM) Classification Algorithm Assistance. In the present invention process, the aim is also to acquire a clinical score of NT-proBNP levels and test samples 34, where the analysis of the data quality prediction model between the long-term risks of HF. The proposed method, with our system, to predict. The results showed that body weight per day to confirm the truth of 78.5% on day 7 and blood pressure, founded arranged the data in the 30-day forecast HF obtained.