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Neurological Disorders

Energy Expenditure Estimation
  • Multiple Sclerosis is a chronic, immune-mediated disease that affects the central nervous system.  Due to problems with balance, weakness or numbness in the feet or legs gait disability is one major symptom for Multiple Sclerosis. People with gait disabilities are twice as physically inactive as healthy people. The low level of physical activity among people with disabilities raise serious concerns regarding their health and well-being. Thus, the development of specific recommendations for type, volume and intensity of physical activity plays a major role in order to combat the effects of a sedentary lifestyle. Recommendations for health-enhancing physical activity are expressed e.g.  by a minimum energy expenditure caused by movement. A typical technique to compute the energy expenditure is indirect calorimetry. Indirect calorimetry is based on the fact that as foods are oxidized to produce heat in the body, oxygen is consumed and carbon dioxide is produced in proportion to the heat generated. Since the indirect calorimetry is not applicable in daily-life situations like vacuuming, ascending stairs or walking outside, an alternative assessment technique is preferred. Small and light-weight inertial sensors like accelerometers showed a high correlation against indirect calorimetry during treadmill running in persons with Multiple Sclerosis.


    Articles in Conference Proceedings
    Schuldhaus, Dominik; Dorn, Sabrina; Leutheuser, Heike; Tallner, Alexander; Klucken, Jochen; Eskofier, Björn
    The 15th International Conference on Biomedical Engineering (The 15th International Conference on Biomedical Engineering (ICBME 2013)), University Town, Singapore, Dezember 4 - 7, 2013, vol. 43, pp. 124-127, 2013 (BiBTeX, Who cited this?)
Multimodal characterization of epileptic seizures
  • The purpose of this project is the analysis of electrodermal activity and motion data with respect to important characteristics for the diagnosis of epilepsy. To ensure generalizability, di erent classes of epileptic seizures are taken in to account. Sensor systems which focus solely on motor activities are only applicable for seizures with typical movement patterns (e.g. generalized tonic-clonic seizures). Due to the fact that there are also seizure types showing no typical movements of the patient, it is not be possible to diagnose all types of epilepsy with a motion based sensor system. Previous research suggests, that epileptic seizures often affect the autonomic nervous system. Since changes in the electro-dermal activity  (EDA) are an indicator for the activity of the autonomous nervous system, the measurement and analysis of the EDA signal during epileptic seizures could yield important information about the clinical picture of epilepsy. The aim of the project is to discover characteristics which allows improved detection and characterization of epileptic seizures both in clinical and ambulatory environments. This as a joint project between the Digital Sports Group and the Epilepsy Center at the Erlangen University Hospital.

    Articles in Conference Proceedings
    Heldberg, Beeke E.; Kautz, Thomas; Leutheuser, Heike; Hopfengärtner, Rüdiger; Kapser, Burkhard S.; Eskofier, Björn
    Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society), Milan, Italy, August, 25-29, pp. 5593-5596, 2015 (BiBTeX, Who cited this?)