L
Lena Elgert
Researcher at Hannover Medical School
Publications - 12
Citations - 81
Lena Elgert is an academic researcher from Hannover Medical School. The author has contributed to research in topics: Telerehabilitation & Rehabilitation. The author has an hindex of 3, co-authored 9 publications receiving 27 citations.
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Journal ArticleDOI
Gamification in Rehabilitation of Patients With Musculoskeletal Diseases of the Shoulder: Scoping Review
TL;DR: A holistic approach to enhance adherence to rehabilitation is required supporting patients during the entire rehabilitation process by providing motivational game design elements based on patient-specific characteristics.
Journal ArticleDOI
Measurement of the Chair Rise Performance of Older People Based on Force Plates and IMUs
Sandra Hellmers,Sebastian Fudickar,Sandra Lau,Lena Elgert,Rebecca Diekmann,Jürgen M. Bauer,Andreas Hein +6 more
TL;DR: An approach that automatically detects the execution of the chair rise test via an inertial sensor integrated into a belt and the analysis of the duration of single test cycles indicates a beginning fatigue at the end of the test.
Journal ArticleDOI
Health-Enabling Technologies for Telerehabilitation of the Shoulder: A Feasibility and User Acceptance Study
Bianca Steiner,Lena Elgert,Birgit Saalfeld,Jonas Schwartze,Horst Peter Borrmann,Axel Kobelt-Pönicke,Andreas Figlewicz,Detlev Kasprowski,Michael Thiel,Ralf Kreikebohm,Reinhold Haux,Klaus-Hendrik Wolf +11 more
TL;DR: The findings show that home-based training with AGT-Reha is feasible and well accepted, and outcomes of SPADI indicate the effectiveness of aftercare withAGT- reha.
Journal ArticleDOI
Health-Enabling Technologies to Assist Patients With Musculoskeletal Shoulder Disorders When Exercising at Home: Scoping Review.
TL;DR: There are various HETs, ranging from simple videoconferencing systems to complex sensor-based technologies for telerehabilitation, that assist patients with musculoskeletal shoulder disorders when exercising at home that are not ready for practical use.
Journal ArticleDOI
A Deep Learning Approach for TUG and SPPB Score Prediction of (Pre-) Frail Older Adults on Real-Life IMU Data.
TL;DR: In this article, an approach for predicting the score of the Timed Up & Go test and Short-Physical-Performance-Battery assessment using IMU data and deep neural networks is presented.