M. Sc. Patricia Piepjohn Room D-017 Kaiserstraße 2, 24143 Kiel, Germany Phone: +49 431 880-6130 Telefax: +49 431 880-6128 E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Research: Tremor analysis

A tremor of various parts of the body can occur as a symptom of different diseases. These include Parkinson's disease and essential tremor. Both belong to the most common neurological diseases. While Parkinson's disease has other symptoms such as slowed movements or rigid muscles, essential tremor is a desription of the disease itself.

Differentiating between different diseases on the basis of the tremor has proven to be difficult. The tremor characteristics of different diseases overlap and cannot be clearly distinguished. Therefore, many misdiagnoses between different diseases occur. Based on a misdiagnosis, a therapeutic approach can lead to a degradation of the symptoms and the course of the disease. 

An analysis of different characteristics and other features of different tremors should be used to increase the accuracy of diagnoses. For this purpose, different sensors, such as EMG or acceleraction sensors, are used to record the respective tremor. In addition, features are extracted that are processed using different machine learning algorithms.

Related topics:

• Pattern recognition
• Feature extraction
• Signal analysis
• Machine learning

Further interests:

• Real-time digital signal processing
• Movement analysis
• Adaptive filters

Short CV

Publications

1. P. Piepjohn, C. Bald, G. Kuhlenbäumer, G. Deuschl, G. Schmidt: Echtzeitklassifizierung von Bewegungsmustern von Tremorpatienten, Biosignale Workshop, 2020, Kiel, Germany

Poster

1. H. Falk, F. Hopfner, P. Wiegand, P. Piepjohn, G. Schmidt, G. Deuschl, G. Kuhlenbäumer: Sind Smartphones zur akzelerometrischen Messung von Tremores geeignet?, DGN Stuttgart, September 2019