Everyday
Activity
Promoting health and social participation through research on physical and cognitive activity in daily life.
Whether we are able to actively shape our daily lives is central to our health, our participation in social life, and ultimately our quality of life. This encompasses aspects of self-care such as cooking a meal just as much as social participation in the community — going to the theatre, for instance. Maintaining and promoting activity and participation are therefore key objectives in the treatment of illness.
For the early detection and diagnosis of neurodegenerative diseases, activity status and its changes can be monitored, tracked and assessed. Across a range of projects, we investigate physical and cognitive aspects on ADL among different target groups. We explore which factors have a positive or negative influence. Alongside observations and conventional questionnaires, we also use wearable sensors. The findings from our research projects enable health problems to be treated early, thus promoting sustained, active participation in society.
Prof. Dr. Inga Liepelt-Scarfone
inga.liepelt-scarfone@hi-university.deProf. Dr. Alexandra Jorzig
alexandra.jorzig@hi-university.deProf. Dr. Jochen Klenk
jochen.klenk@hi-university.deProf. Dr. Philipp Lacour
philipp.lacour@hi-university.deProf. Dr. Morena Lauth-Lebens
morena.lauth-lebens@hi-university.deProf. Dr. Inga Liepelt-Scarfone
inga.liepelt-scarfone@hi-university.de
AktiSmart-KI (BMG, 2000–2022)
The aim of this collaborative project with the University of Ulm and the Robert Bosch Hospital Stuttgart was the automated analysis of movement patterns captured by body-worn activity sensors during geriatric rehabilitation. Based on the activity data collected in home settings, algorithms were developed to identify various activities of daily living in sensor signals using machine learning. In parallel, the framework conditions for clinical deployment were established, with particular attention to data protection as well as ethical and legal considerations. The project was funded by the Federal Ministry of Health and concluded in 2022.
Cognitive Everyday Problems in Older Adults With and Without Neurodegenerative Disease
This internally funded project focuses on investigating various cognitive, motor and emotional factors that contribute to everyday function in older age. In individuals with impairments in cognitive performance and motor function, the primary cause of everyday problems is often hard to determine. The development and validation of new test scores that can differentiate between various causes may make an important contribution to the differential diagnosis of affected individuals. In cooperation with the University of Tübingen, students at HIU have the opportunity to access longitudinal data from a Parkinson's cohort and work on topics within this field of research.
Klenk, J.; Werner, C.: Optimierung der körperlichen Aktivität über die Lebensspanne. In: Geriatrie: Das gesamte Spektrum der Altersmedizin für Klinik und Praxis, Kohlhammer Verlag, Stuttgart 2024, Kapitel 5.9.
Liepelt-Scarfone I.; Bode M.; Kalbe E.: Cognition and Activity of Daily Living Function in people with Parkinson's disease. J Neural Transm (Vienna), 2024 Jul 8. doi: 10.1007/s00702-024-02796-w. Online ahead of print. PMID: 38976044.
Liepelt-Scarfone I.; Bode M.; Sulzer P. et al.: Multidomain cognitive training increases physical activity in people with Parkinson's disease with mild cognitive impairment. Parkinsonism Relat Disord., 2023. Aug; 113:105330. doi: 10.1016/j.parkreldis.2023.105330. Epub 2023 Feb
Liepelt-Scarfone I.; Becker S.; Bode M. et al.: Cognitive-Driven Activities of Daily Living Impairment as a Predictor for Dementia in Parkinson Disease: A Longitudinal Cohort Study. Neurology, 2022 Dec 5; 99(23):e2548-e2560. doi: 10.1212/WNL.0000000000201201.
Klenk J., Bajpai S., Bassett DR. et al.: Daily steps and all-cause mortality: a meta-analysis of 15 international cohorts. The Lancet Public Health. 2022 Mar 1;7(3):e219–28.
Klenk J.; Kampe K.; Pfeiffer K. et al.: Change of physical activity parameters of hip and pelvic fracture patients during inpatient rehabilitation and after discharge: analysis of global and in-depth parameters. European Review of Aging and Physical Activity. 2021 Jun 12;18(1): 9.
Klenk J.; Sczuka KS.; Schneider M. et al.: Template-Based Recognition of Human Locomotion in IMU Sensor Data Using Dynamic Time Warping. Sensors. 2021 Jan;21(8):2601.
Klenk J., Wekenmann S., Schwickert L. et al.: Objectively-Measured Physical Activity during Geriatric Rehabilitation. Sensors (Basel). 2019 Dec 11;19(24).