Monitoring medication optimization in patients with Parkinson’s disease

Moradi H, Hannink J, Stallforth S, Gladow T, Ringbauer S, Mayr M, Winkler J, Klucken J, Eskofier B (2023)

Publication Type: Conference contribution

Publication year: 2023

Conference Proceedings Title: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Event location: Sydney AU

DOI: 10.1109/embc40787.2023.10340618

Abstract

Medication optimization is a common component of the treatment strategy in patients with Parkinson’s disease. As the disease progresses, it is essential to compensate for the movement deterioration in patients. Conventionally, examining motor deterioration and prescribing medication requires the patient’s onsite presence in hospitals or practices. Home-monitoring technologies can remotely deliver essential information to physicians and help them devise a treatment decision according to the patient’s need. Additionally, they help to observe the patient’s response to these changes. In this regard, we conducted a longitudinal study to collect gait data of patients with Parkinson’s disease while they received medication changes. Using logistic regression classifier, we could detect the annotated motor deterioration during medication optimization with an accuracy of 92%. Moreover, an in-depth examination of the best features illustrated a decline in gait speed and swing phase duration in the deterioration phases due to suboptimal medication.Clinical relevance— Our proposed gait analysis method in this study provides objective, detailed, and punctual information to physicians. Revealing clinically relevant time points related to the patient’s need for medical adaption alleviates therapy optimization for physicians and reduces the duration of suboptimal treatment for patients. As the home-monitoring system acts remotely, embedding it in the medical care pathways could improve patients’ quality of life.

Authors with CRIS profile

Hamid Moradi Machine Learning and Data Analytics Lab Sabine Stallforth Department of Molecular Neurology Till Gladow Department of Molecular Neurology Jürgen Winkler Professur für Molekulare Neurologie Björn Eskofier Machine Learning and Data Analytics Lab

Involved external institutions

Portabiles HealthCare Technologies GmbH DE Germany (DE) NeuroSys DE Germany (DE) University of Luxembourg LU Luxembourg (LU)

How to cite

APA:

Moradi, H., Hannink, J., Stallforth, S., Gladow, T., Ringbauer, S., Mayr, M.,... Eskofier, B. (2023). Monitoring medication optimization in patients with Parkinson’s disease. In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Sydney, AU.

MLA:

Moradi, Hamid, et al. "Monitoring medication optimization in patients with Parkinson’s disease." Proceedings of the 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Sydney 2023.

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