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pro vyhledávání: '"Rene Peter Bremm"'
Autor:
Rene Peter Bremm, Lukas Pavelka, Maria Moscardo Garcia, Laurent Mombaerts, Rejko Krüger, Frank Hertel
Publikováno v:
Sensors, Vol 24, Iss 7, p 2195 (2024)
Wearable sensors could be beneficial for the continuous quantification of upper limb motor symptoms in people with Parkinson’s disease (PD). This work evaluates the use of two inertial measurement units combined with supervised machine learning mod
Externí odkaz:
https://doaj.org/article/ee335fbba8ac443ca1036ea7aa619396
Publikováno v:
Current Directions in Biomedical Engineering. 8:572-575
Gait analysis is a systematic study of human movement. Combining wearable foot pressure sensors and machine learning (ML) solutions for a high-fidelity body pose tracking from RGB video frames could reveal more insights into gait abnormalities. Howev
Publikováno v:
Current Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 115-118 (2020)
Deep brain stimulation (DBS) is an established therapy for movement disorders such as in Parkinson's disease (PD) and essential tremor (ET). Adjusting the stimulation parameters, however, is a labour-intensive process and often requires several patie
Publikováno v:
Current Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 103-106 (2020)
Programming in deep brain stimulation (DBS) is often a labour-intensive process. Although automatic closed-loop stimulation has recently been receiving considerable attention, it is still far from clinical settings. Testing in-loop stimulation in a c
Autor:
Frank Hertel, Jorge Goncalves, Rene Peter Bremm, Rejko Krüger, Christophe Berthold, K. P. Koch
Publikováno v:
Biomedizinische Technik. Biomedical engineeringReferences. 66(6)
Programming in deep brain stimulation (DBS) is a labour-intensive process for treating advanced motor symptoms. Specifically for patients with medication-refractory tremor in multiple sclerosis (MS). Wearable sensors are able to detect some manifesta