TABLE 1.
References that used inertial sensors features to feed machine learning to evaluate the hand tremor of PD patients.
| References | Hand activity | Sensor (AR) | Recording duration | Methods of classification | Accuracy |
| Alam et al. (2016) | Resting tremor | Acc and gyros (200 Hz) | 25–30 s | Support vector machine | 59–88.9% |
| LeMoyne et al. (2015) | Kinetic tremor | Acc (100 Hz) | 5 s | Support vector machine | 100% |
| Butt et al. (2017) | Kinetic tremor | Gyros (100 Hz) | 10 s | Support vector machine, logistic regression, neural network classifier | 76.2–83.1% |
| Stamatakis et al. (2013) | Finger tapping | Acc (167 Hz) | Free | Ordinal logistic regression | 87.2–96.5% |
| Jeon et al. (2017a) | Resting tremor | Acc (125 Hz) | 10 s | SVM, decision tree, random forest, discriminant analysis | 80.9–85.6 |