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Original Article

Objective identification and analysis of physiological and behavioral signs of schizophrenia

, , , &
Pages 276-282 | Received 23 Jun 2014, Accepted 19 Jan 2015, Published online: 20 Jul 2015

Figures & data

Table 1. Demographic and clinical characteristics of study participants.

Figure 1. Adhesive activity and heart rate monitoring patch used in the study (Proteus Digital Health, Redwood City, CA).

Figure 1. Adhesive activity and heart rate monitoring patch used in the study (Proteus Digital Health, Redwood City, CA).

Figure 2. First five values of multiscale entropy of heart rate (left) and locomotor activity (right) signals of schizophrenia patients and normal controls. Solid lines represent fitting a third-degree polynomial in a least squares sense into the first five MSE scales, with coefficients presented in .

Figure 2. First five values of multiscale entropy of heart rate (left) and locomotor activity (right) signals of schizophrenia patients and normal controls. Solid lines represent fitting a third-degree polynomial in a least squares sense into the first five MSE scales, with coefficients presented in Table 2.

Figure 3. First five values of transfer entropy of heart rate (HR) and activity signals of schizophrenia patients and normal controls. Transfer Entropy from HR to locomotor activity is on the left and from locomotor activity to HR on the right. Solid lines represent the fitting of a third-degree polynomial in a least squares sense into the first five TE values. Resultant coefficients are presented in .

Figure 3. First five values of transfer entropy of heart rate (HR) and activity signals of schizophrenia patients and normal controls. Transfer Entropy from HR to locomotor activity is on the left and from locomotor activity to HR on the right. Solid lines represent the fitting of a third-degree polynomial in a least squares sense into the first five TE values. Resultant coefficients are presented in Table 2.

Figure 4. ROC curves and AUC for evaluated models based on locomotor activity only (ACT features; dashed line), heart rate only (HR features; dot-dashed line) and combined HR and activity features (solid line). The AUC values are significantly different between models at a 1% significance level according to two-sided Wilcoxon rank sum test with the Bonferroni correction for multiple comparisons.

Figure 4. ROC curves and AUC for evaluated models based on locomotor activity only (ACT features; dashed line), heart rate only (HR features; dot-dashed line) and combined HR and activity features (solid line). The AUC values are significantly different between models at a 1% significance level according to two-sided Wilcoxon rank sum test with the Bonferroni correction for multiple comparisons.

Table 2. Features of HR and locomotor activity of schizophrenia and control subjects (mean ± STD, arbitrary units for activity and bpm for HR) together with mRMR rankinga.