| Popis: |
Parkinsonian tremor is one of the clinical hallmarks of Parkinson's disease. Since the traditional medical treatments are not effective, many wearable devices are developed to help suppress the tremor. In order to suppress the tremor, a well-designed tremor estimator is needed. Previous tremor estimators treat a 3-D tremor signal as three independent 1-D signals. Moreover, they did not consider the real-life characteristics of tremor signals. For instance, the tremor does not always exist in the postural tremor signal, and the patient's voluntary motion can be included in the kinetic tremor signal. This paper presents a real-time adaptive parkinsonian tremor signal identifier based on the internal model principle and instantaneous Fourier decomposition and tests on tremor signals collected by a special glove from 18 patients. The result showed that our proposed identifier could identify a 3-D tremor signal and have the ability to recognize the presence of tremor and separate the voluntary motion from the tremor signal. We also showed that our proposed identifier could achieve 80%+ in signal identification accuracy and 90%+ in power estimation accuracy in different tremor signals. Finally, we achieved real-time tremor identification in a bench-top tremor simulator. |
