Publikationsliste

Quellen für die in der digitalen Gesundheitsanwendung ParkinsonGo umgesetzten medizinischen Inhalte und Verfahren

  1. Barth J, Klucken J, Kugler P, Kammerer T, Steidl R, Winkler J, et al. Biometric and mobile gait analysis for early diagnosis and therapy monitoring in Parkinson’s disease. In: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE; 2011.
  2. Barth J, Oberndorfer C, Pasluosta C, Schülein S, Gassner H, Reinfelder S, et al. Stride Segmentation during Free Walk Movements Using Multi-Dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data. Sensors. 2015 Mar 17;15(3).
  3. Barth J, Oberndorfer C, Pasluosta C, Schülein S, Gassner H, Reinfelder S, et al. Stride Segmentation during Free Walk Movements Using Multi-Dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data. Sensors. 2015 Mar 17;15(3).
  4. Barth J, Sunkel M, Bergner K, Schickhuber G, Winkler J, Klucken J, et al. Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson’s disease. In: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE; 2012.
  5. Cancela J, Pastorino M, Arredondo M, Nikita K, Villagra F, Pastor M. Feasibility Study of a Wearable System Based on a Wireless Body Area Network for Gait Assessment in Parkinson’s Disease Patients. 2014 Mar 7;14(3).
  6. Deutsche Gesellschaft für Neurologie (DGN). Idiopathisches Parkinson-Syndrom. Leitlinien für Diagnostik und Therapie in der Neurologie [Internet]. 2016 [cited 2021 Nov 8];1–312. Available from: https://www.awmf.org/uploads/tx_szleitlinien/030-010l_S3_Parkinson_Syndrome_Idiopathisch_2016-06-abgelaufen.pdf
  7. Djurić-Jovičić M, Belić M, Stanković I, Radovanović S, Kostić VS. Selection of gait parameters for differential diagnostics of patients with de novo Parkinson’s disease. Neurological Research. 2017 Oct 3;39(10).
  8. Gaßner H, Marxreiter F, Steib S, Kohl Z, Schlachetzki JCM, Adler W, et al. Gait and Cognition in Parkinson’s Disease: Cognitive Impairment Is Inadequately Reflected by Gait Performance during Dual Task. Frontiers in Neurology. 2017 Oct 26;8.
  9. Gaßner H, Raccagni C, Eskofier BM, Klucken J, Wenning GK. The Diagnostic Scope of Sensor-Based Gait Analysis in Atypical Parkinsonism: Further Observations. Frontiers in Neurology. 2019 Jan 22;10.
  10. Gaßner H, Steib S, Klamroth S, Pasluosta CF, Adler W, Eskofier BM, et al. Perturbation Treadmill Training Improves Clinical Characteristics of Gait and Balance in Parkinson’s Disease. Journal of Parkinson’s Disease. 2019 May 23;9(2).
  11. Grajić M, Stanković I, Radovanović S, Kostić V. Gait in drug naïve patients with de novo Parkinson’s disease – altered but symmetric. Neurological Research. 2015 Aug 28;37(8).
  12. Haji Ghassemi N, Hannink J, Martindale C, Gaßner H, Müller M, Klucken J, et al. Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease. Sensors. 2018 Jan 6;18(2).
  13. Klucken J, Barth J, Kugler P, Schlachetzki J, Henze T, Marxreiter F, et al. Unbiased and Mobile Gait Analysis Detects Motor Impairment in Parkinson’s Disease. PLoS ONE. 2013 Feb 19;8(2).
  14. Kluge F, Gaßner H, Hannink J, Pasluosta C, Klucken J, Eskofier B. Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters. 2017 Jun 28;17(7).
  15. König N, Singh NB, Baumann CR, Taylor WR. Can Gait Signatures Provide Quantitative Measures for Aiding Clinical Decision-Making? A Systematic Meta-Analysis of Gait Variability Behavior in Patients with Parkinson’s Disease. Frontiers in Human Neuroscience. 2016 Jun 30;10.
  16. Lee M, Youm C, Jeon J, Cheon S-M, Park H. Validity of shoe-type inertial measurement units for Parkinson’s disease patients during treadmill walking. Journal of NeuroEngineering and Rehabilitation. 2018 Dec 15;15(1).
  17. Marxreiter F, Gaßner H, Borozdina O, Barth J, Kohl Z, Schlachetzki JCM, et al. Sensor-based gait analysis of individualized improvement during apomorphine titration in Parkinson’s disease. Journal of Neurology. 2018 Nov 8;265(11).
  18. Nguyen A, Roth N, Ghassemi NH, Hannink J, Seel T, Klucken J, et al. Development and clinical validation of inertial sensor-based gait-clustering methods in Parkinson’s disease. Journal of NeuroEngineering and Rehabilitation. 2019 Dec 26;16(1).
  19. Pistacchi M, Gioulis M, Sanson F, de Giovannini E, Filippi G, Rossetto F, et al. Gait analysis and clinical correlations in early Parkinson´s disease. Functional Neurology. 2017;32(1):28–34.
  20. Raccagni C, Gaßner H, Eschlboeck S, Boesch S, Krismer F, Seppi K, et al. Sensor-based gait analysis in atypical parkinsonian disorders. Brain and Behavior. 2018 Jun;8(6).
  21. Schlachetzki JCM, Barth J, Marxreiter F, Gossler J, Kohl Z, Reinfelder S, et al. Wearable sensors objectively measure gait parameters in Parkinson’s disease. PLOS ONE. 2017 Oct 11;12(10).
  22. Serrao M, Chini G, Caramanico G, Bartolo M, Castiglia SF, Ranavolo A, et al. Prediction of Responsiveness of Gait Variables to Rehabilitation Training in Parkinson’s Disease. Frontiers in Neurology. 2019 Aug 2;10.
  23. Sigcha L, Costa N, Pavón I, Costa S, Arezes P, López JM, et al. Deep Learning Approaches for Detecting Freezing of Gait in Parkinson’s Disease Patients through On-Body Acceleration Sensors. Sensors. 2020 Mar 29;20(7).
  24. Steib S, Klamroth S, Gaßner H, Pasluosta C, Eskofier B, Winkler J, et al. Perturbation During Treadmill Training Improves Dynamic Balance and Gait in Parkinson’s Disease: A Single-Blind Randomized Controlled Pilot Trial. Neurorehabilitation and Neural Repair. 2017 Aug 31;31(8).
  25. Steib S, Klamroth S, Gaßner H, Pasluosta C, Eskofier B, Winkler J, et al. Exploring gait adaptations to perturbed and conventional treadmill training in Parkinson’s disease: Time-course, sustainability, and transfer. Human Movement Science. 2019 Apr;64.
  26. Tunca C, Pehlivan N, Ak N, Arnrich B, Salur G, Ersoy C. Inertial Sensor-Based Robust Gait Analysis in Non-Hospital Settings for Neurological Disorders. Sensors. 2017 Apr 11;17(4).