Chaos and nonlinear time-series analysis of finger pulse waves for depression detection
International Conference on Bio-inspired Systems and Signal Processing, 2013•scitepress.org
Depressive disorders are mental illnesses that can severely affect one's health and well-
being. If depression is not early detected and left untreated, it can consequently lead to
suicide. This paper presents for the first time a novel combination of chaos theory and
nonlinear dynamical analysis of signal complexity of photoplethysmography waveforms for
detection of depression. Experimental results obtained from the analysis of mentally
disordered and control subjects suggest the potential application of the proposed approach.
being. If depression is not early detected and left untreated, it can consequently lead to
suicide. This paper presents for the first time a novel combination of chaos theory and
nonlinear dynamical analysis of signal complexity of photoplethysmography waveforms for
detection of depression. Experimental results obtained from the analysis of mentally
disordered and control subjects suggest the potential application of the proposed approach.
Depressive disorders are mental illnesses that can severely affect one’s health and well-being. If depression is not early detected and left untreated, it can consequently lead to suicide. This paper presents for the first time a novel combination of chaos theory and nonlinear dynamical analysis of signal complexity of photoplethysmography waveforms for detection of depression. Experimental results obtained from the analysis of mentally disordered and control subjects suggest the potential application of the proposed approach.
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