Nonlinear single-input single-output model-based estimation of cardiac output for normal and depressed cases

摘要: Mental depression is associated with an increased risk of cardiovascular mortality, thus provisioning generic simple nonlinear mathematical models for normal and depressed cases using only heart rate (HR) or stroke volume (SV) as a single input to produce cardiac output (CO) instead both HR SV two inputs. The proposed could be in the future effective tool investigate effect neuroleptic medication, especially depression, it reduces time processing. Seventy-four cases, 74 peers autoregressive considered main role discrete system identification are chosen lie under investigation on way four models. first model which generated from case number 62 produced minimum root-mean-square error (RMSE) 0.0018 when applied average RMSE equal 0.1978. Second, created 55 0.0008 0.0572. third 16 0.0027 0.9405. Fourth 58 0.0019 1.0833. succeeded determine CO by one such good contribution medications field while showed RMSE.