Figure 9 | Scientific Reports

Figure 9

From: PHTNet: Characterization and Deep Mining of Involuntary Pathological Hand Tremor using Recurrent Neural Network Models

Figure 9

Visualization of the network output when real action tremor signals are fed to the network. Our method was compared with three other methods, referred to as BMFLC, EBMFLC, and WAKE. The details of each patient whose signal is shown here are as follows. (a) [ET - Right hand - de novo - Training]. (b) [PD - Right hand - Under treatment - Validation]. (c) [PD - Left hand - de novo - Test]. (d) [ET - Right hand - Under treatment - Test]. (e) [PD - Right hand - Under treatment - Test]. (f) [PD - Right hand - de novo - Test]. (g) [PD - Right hand - Under treatment - Test]. (h) [ET - Right hand - de novo - Training]. (i) [PD - Right hand - Under treatment - Training]. (j) [PD - Right hand - de novo - Training]. (k) [ET - Left hand - Under treatment - Validation]. (l) [PD - Left hand - Under treatment - Validation].

Back to article page