@misc{SteinmetzerBoenningerPriwitzeretal., author = {Steinmetzer, Tobias and B{\"o}nninger, Ingrid and Priwitzer, Barbara and Reinhardt, Fritjof and Reckhardt, Markus Christoph and Erk, Dorela and Travieso-Gonz{\´a}lez, Carlos M.}, title = {Clustering of Human Gait with Parkinson's Disease by Using Dynamic Time Warping}, series = {IEEE International Work Conference on Bioinspired Intelligence (IWOBI)}, volume = {2018}, journal = {IEEE International Work Conference on Bioinspired Intelligence (IWOBI)}, doi = {10.1109/IWOBI.2018.8464203}, pages = {1 -- 6}, abstract = {We present a new method for detecting gait disorders according to their stadium using cluster methods for sensor data. 21 healthy and 18 Parkinson subjects performed the Time Up and Go test. The time series were segmented into separate steps. For the analysis the horizontal acceleration measured by a mobile sensor system was considered. We used Dynamic Time Warping and Hierarchical Custering to distinguish the stadiums. A specificity of 92\% was achieved.}, language = {en} } @inproceedings{BoenningerSteinmetzer, author = {B{\"o}nninger, Ingrid and Steinmetzer, Tobias}, title = {Therapierfolgsmessung bei Parkinson-Patienten}, series = {7. Lausitzer Schlaganfalltag, 23. Senftenberger Gespr{\"a}che zum Schlaganfall : Klinische Praxis und neurowissenschaftliche Aspekte, Senftenberg 10. M{\"a}rz 2018}, booktitle = {7. Lausitzer Schlaganfalltag, 23. Senftenberger Gespr{\"a}che zum Schlaganfall : Klinische Praxis und neurowissenschaftliche Aspekte, Senftenberg 10. M{\"a}rz 2018}, publisher = {Klinikum Niederlausitz [u.a.]}, address = {Senftenberg}, pages = {65 -- 66}, language = {de} } @misc{SteinmetzerReckhardtReinhardtetal., author = {Steinmetzer, Tobias and Reckhardt, Markus Christoph and Reinhardt, Fritjof and Erk, Dorela and Travieso-Gonz{\´a}lez, Carlos M.}, title = {Comparison of algorithms and classifiers for stride detection using wearables}, series = {Neural Computing and Applications}, volume = {32(2020)}, journal = {Neural Computing and Applications}, number = {24}, issn = {1433-3058}, doi = {10.1007/s00521-019-04384-6}, pages = {17857 -- 17868}, abstract = {Sensor-based systems for diagnosis or therapy support of motor dysfunctions need methodologies of automatically stride detection from movement sequences. In this proposal, we developed a stride detection system for daily life use. We compared mostly used algorithms min-max patterns, dynamic time warping, convolutional neural networks (CNN), and automatic framing using two data sets of 32 healthy and 28 Parkinson's disease (PD) persons. We developed an insole with force and IMU sensors to record the gait data. The PD patients carried out the standardized time up and go test, and the healthy persons a daily life activities test (walking, sitting, standing, ascending and descending stairs). As an automatically stride detection process for daily life use, we propose a first stride detection using automatic framing, and after normalization and resampling data a CNN is used. A F1-score of 0.938 (recall 0.968, precision 0.910) for time up and go test and of 0.944 (recall 0.992, precision 0.901) for daily life activities test were obtained for CNN. Compared to the other detection methods, up to 6\% F-measure improvement was shown.}, language = {en} } @misc{StriteskaChovanecSteinmetzeretal., author = {Striteska, Maja and Chovanec, Martin and Steinmetzer, Tobias and Chrobok, Viktor and Profant, Oliver and Schneider, Erich and Kremlacek, Jan and Valis, Martin}, title = {Binocular video head impulse test: Normative data study}, series = {Frontiers in Neurology}, volume = {14}, journal = {Frontiers in Neurology}, issn = {1664-2295}, doi = {10.3389/fneur.2023.1153102}, abstract = {Introduction The video head impulse test (vHIT) evaluates the vestibulo-ocular reflex (VOR). It's usually recorded from only one eye. Newer vHIT devices allow a binocular quantification of the VOR. Purpose (Aim) To investigate the advantages of simultaneously recorded binocular vHIT (bvHIT) to detect the differences between the VOR gains of the adducting and the abducting eye, to define the most precise VOR measure, and to assess gaze dys/conjugacy. We aimed to establish normative values for bvHIT adducting/abducting eye VOR gains and to introduce the VOR dysconjugacy ratio (vorDR) between adducting and abducting eyes for bvHIT. Methods We enrolled 44 healthy adult participants in a cross-sectional, prospective study using a repeated-measures design to assess test-retest reliability. A binocular EyeSeeCam Sci 2 device was used to simultaneously record bvHIT from both eyes during impulsive head stimulation in the horizontal plane. Results Pooled bvHIT retest gains of the adducting eye significantly exceeded those of the abducting eye (mean (SD): 1.08 (SD = 0.06), 0.95 (SD = 0.06), respectively). Both adduction and abduction gains showed similar variability, suggesting comparable precision and therefore equal suitability for VOR asymmetry assessment. The pooled vorDR here introduced to bvHIT was 1.13 (SD = 0.05). The test-retest repeatability coefficient was 0.06. Conclusion Our study provides normative values reflecting the conjugacy of eye movement responses to horizontal bvHIT in healthy participants. The results were similar to a previous study using the gold-standard scleral search coil, which also reported greater VOR gains in the adducting than in the abducting eye. In analogy to the analysis of saccade conjugacy, we propose the use of a novel bvHIT dysconjugacy ratio to assess dys/conjugacy of VOR-induced eye movements. In addition, to accurately assess VOR asymmetry, and to avoid directional gain preponderance between adduction and abduction VOR-induced eye movements leading to monocular vHIT bias, we recommend using a binocular ductional VOR asymmetry index that compares the VOR gains of only the abduction or only the adduction movements of both eyes.}, language = {en} } @misc{RamaioliSteinmetzerBrietzkeetal., author = {Ramaioli, Cecilia and Steinmetzer, Tobias and Brietzke, Adrian and Meyer, Paul and Pham Xuan, Rebecca and Schneider, Erich and Gorges, Martin}, title = {Assessment of vestibulo-ocular reflex and its adaptation during stop-and-go car rides in motion sickness susceptible passengers}, series = {Experimental Brain Research}, volume = {241}, journal = {Experimental Brain Research}, number = {6}, issn = {1432-1106}, doi = {10.1007/s00221-023-06619-4}, pages = {1523 -- 1531}, abstract = {Motion sickness is a physiological condition that negatively impacts a person's comfort and will be an emerging condition in autonomous vehicles without proper countermeasures. The vestibular system plays a key role in the origin of motion sickness. Understanding the susceptibility and (mal) adaptive mechanisms of the highly integrated vestibular system is a prerequisite for the development of countermeasures. We hypothesize a differential association between motion sickness and vestibular function in healthy individuals with and without susceptibility for motion sickness. We quantified vestibular function by measuring the high-frequency vestibulo-ocular reflex (VOR) using video head impulse testing (vHIT) in 17 healthy volunteers before and after a 11 min motion sickness-inducing naturalistic stop-and-go car ride on a test track (Dekra Test Oval, Klettwitz, Germany). The cohort was classified as motion sickness susceptible (n = 11) and non-susceptible (n = 6). Six (out of 11) susceptible participants developed nausea symptoms, while a total of nine participants were free of these symptoms. The VOR gain (1) did not differ significantly between participant groups with (n = 8) and without motion sickness symptoms (n = 9), (2) did not differ significantly in the factor time before and after the car ride, and showed no interaction between symptom groups and time, as indicated by a repeated measures ANOVA (F(1,15) = 2.19, p = 0.16. Bayesian inference confirmed that there was "anecdotal evidence" for equality of gain rather than difference across groups and time (BF10 < 0.77). Our results suggest that individual differences in VOR measures or adaptation to motion sickness provocative stimuli during naturalistic stop-and-go driving cannot predict motion sickness susceptibility or the likelihood of developing motion sickness.}, language = {en} }