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M. Sc. Patricia PiepjohnRoom D-017Kaiserstraße 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. |
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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
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Time span | Details | ||
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| 2019 - current | Research assistant at the Christian-Albrechts-Universität zu Kiel, Kiel, Germany | |||
| 2017 - 2019 | M.Sc. in Electrical and Information Engineering at the Christian-Albrechts-Universität zu Kiel, Kiel, Germany | |||
| 2012 - 2017 | B.Sc. in Electrical and Information Engineering at the HAW Hamburg, Hamburg, Germany | |||
| 2012 - 2015 | Electronics Technician for Equipment and Systems, Field: Medical Technical Equipment, apprenticeship, Philips Medical Systems, Hamburg, Germany |
Publications
P. Piepjohn, C. Bald, G. Kuhlenbäumer, G. Deuschl, G. Schmidt: Echtzeitklassifizierung von Bewegungsmustern von Tremorpatienten, Biosignale Workshop, 2020, Kiel, Germany
Poster
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
Due to the work of Owe Wisch and Alexej Namenas (and of the rest of the SONAR team, of course) our SONAR simulator supports now a real-time mode for testing underwater speech communication. A multitude of "subscribers" can connect to our virtual ocean and send and receive signals. The simulator consists of large (time-variant) convolution engine as well as a realistic noise simulation that takes parameters such as wind speed, etc. into account. In addition, linear and non-linear behaviour of the sending and receiving hardware can be simulated. However, no simuator is of course as beautiful as the real sea.