Fig. 8: An auxiliary diagnostic tool was built for intelligent diagnosis of DDwR using the sensorgram line data from the PVA-EBPD hydrogel sensor. | Nature Communications

Fig. 8: An auxiliary diagnostic tool was built for intelligent diagnosis of DDwR using the sensorgram line data from the PVA-EBPD hydrogel sensor.

From: Instantaneous self-recovery and ultra-low detection limit hydrogel electronic sensor for temporomandibular disorders intelligent diagnosis

Fig. 8

a Magnitude scalograms derived from the waveform data of normal TMJ with CWT. b Magnitude scalograms derived from the waveform data of DDwR with CWT. c Schematic diagram of the prediction model construction for the auxiliary diagnostic tool. d Accuracy, sensitivity, specificity, AUC of prediction model (All data are Mean ± SEM, n = 5 predictive models). e Receiver Operating Characteristic Curve (ROC) of the prediction model. The 5-fold cross-validation was utilized for model construction, and the mean AUC was 0.88 (95% CI: 0.85, 0.92). Source data are provided as a Source Data file.

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