Project: Mobile Monitoring of Epileptic Patients
   
Project team: Samrend Saboor, Friedrich Hanser
   
Time span: 2009 - 2011
   
Cooperation partner: Institute of Electrical, Electronic and Bioengineering (UMIT)
   
Background:

Epilepsy, with a prevalence of 0.5 - 1.0% , can be assumed to be one of the most common chronic diseases. Epilepsy patients suffer from decreased quality of life. This is mostly due to the significant characteristic of epilepsy which is the occurrence of paroxysmal seizures. Such seizures occur without any warning and cause a total loss of the affected patients over their bodies for several minutes - possibly also leading to injuries (e.g., falling, burning or even drowning). Another important open issue in this context is the logging of seizure events - current possibilities are either limited in their temporal and / or spacial application. However, the logging of seizure events should be as complete as possible because it is required for e.g. the aadjustment of medication.

   
Objectives: Development of a wearable and conventient system for the robust and valid detection of epileptic seizure events.
   
Methods:

A prototypic system for the qcquisition of seizure motion data was developed on basis of the commercially available Wii®-technology of Nintendo - the controllers of this system can be connected in a wireless fashion and are featured by adequate robustness and measurement performance (accuracy, resolution). Based on the acquired motion data, a robust and valid detection algorithm is being developed using an own algorithms prototyping framework that applies common data processing techniques.

   
Results:

+ A motion data acquisition interface was implemented that allows for the simultaneous acquisition and recording of several motion sensors.

+ A versatile data analysis framework that allows for the flexible compilation of prototypic data processing pipelines.

+ First encouraging experiences regarding the identification of relevant seizure motion patterns (based on real seizure motion data).

   
Selected publications:

(A complete list of all publications can be found on our publications page.)