Movement detection

Algorithm Development

Our group is working on the development and validation of algorithms for the quantification of movement and mobility in the elderly and Parkinson's patients. Data is processed from so-called wearables.

The following algorithms for the detection and evaluation of everyday activity and mobility have already been published:

- Straight Walking and Turning

- Detection of Turning

- Movement during sleep

- Dyskinetic movement in Parkinson's Disease

- Balance

- Functional Reach

Other algorithms are currently being developed and validated by the working group. Our ultimate goal is the development of clinically relevant parameters for use in the clinic, in the doctor's office and at home. The aim is to measure diseases, their progress, and their response to therapies. We also support the development of an algorithm platform for sensor-based data, e.g. to cross-validate existing algorithms.

Kontakt: Clint Hansen, Minh Hoang Pham, und Elke Warmerdam

APPLICATION OF OWN ALGORITHMS FOR MOTION AND MOBILITY DETECTION

The developed algorithms are used continuously in national and international cooperation projects for the detection of movement and mobility in the clinical and domestic environment.

ComOn-Studie

Ein Beispiel ist die ComOn Studie.

Kontakt: Johanna Geritz und Sara Mätzold

FAIR PARK 2

The EU-funded Horizon2020 project FAIR-PARK 2 uses our algorithms to determine exploratory endpoints. The randomized, double-blind, investigator-initiated study led by Prof. David Devos, Lille, France, is investigating the effect of an iron chelator on the progression of Parkinson's disease. In the process, some of the study participants wear three small sensors on the body over several weeks in order to be able to define movement and mobility in more detail. The sensors were developed as part of an earlier EU project led by us(www.sense-park.eu/).

Kontakt: Corina Maetzler und Walter Maetzler

KEEP CONTROL

KEEP CONTROL is a Horizon 2020 ITN project. It consists of an EU-wide consortium of experts from the clinical, biomechanical and neuroscience environment, and is leaded by Kiel. The goal is to better understand and treat the gait and balance problems of older people (www.keep-control.eu/). Gait and balance problems are widespread among older people and lead to an enormous burden in their personal and professional life as well as in health care. The treatment used today has little influence on the problems mentioned. Key questions about basic mechanisms and treatment options are still unclear.

Kontakt: Elke Warmerdam, Hassan Alhassan, Clint Hansen und Walter Maetzler 

 

TREND

TREND is a longitudinal study of more than 1100 elders that investigates motor, cognitive, and many other skills in great detail. The participants receive a detailed sensor-based examination protocol for recording everyday relevant movements. In particular, the study examines whether and how, in the years prior to onset, e.g. Parkinson's or Alzheimer's disease can detect changes that may ultimately allow for earlier diagnosis. The study can also answer other questions, such as: Aging aspects and course of cardiovascular risk factors. The study started in 2009 and participants are regularly examined every two years.

Kontakt: Morad Elshehabi und Walter Maetzler