{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T07:55:17Z","timestamp":1725609317825},"reference-count":52,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2017,6,28]],"date-time":"2017-06-28T00:00:00Z","timestamp":1498608000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"The purpose of this study was to assess the concurrent validity and test\u2013retest reliability of a sensor-based gait analysis system. Eleven healthy subjects and four Parkinson\u2019s disease (PD) patients were asked to complete gait tasks whilst wearing two inertial measurement units at their feet. The extracted spatio-temporal parameters of 1166 strides were compared to those extracted from a reference camera-based motion capture system concerning concurrent validity. Test\u2013retest reliability was assessed for five healthy subjects at three different days in a two week period. The two systems were highly correlated for all gait parameters ( r > 0.93 ). The bias for stride time was 0 \u00b1 16 ms and for stride length was 1.4 \u00b1 6.7 cm. No systematic range dependent errors were observed and no significant changes existed between healthy subjects and PD patients. Test-retest reliability was excellent for all parameters (intraclass correlation (ICC) > 0.81) except for gait velocity (ICC > 0.55). The sensor-based system was able to accurately capture spatio-temporal gait parameters as compared to the reference camera-based system for normal and impaired gait. The system\u2019s high retest reliability renders the use in recurrent clinical measurements and in long-term applications feasible.<\/jats:p>","DOI":"10.3390\/s17071522","type":"journal-article","created":{"date-parts":[[2017,6,28]],"date-time":"2017-06-28T14:25:56Z","timestamp":1498659956000},"page":"1522","source":"Crossref","is-referenced-by-count":109,"title":["Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-4921-6104","authenticated-orcid":false,"given":"Felix","family":"Kluge","sequence":"first","affiliation":[{"name":"Digital Sports Group, Pattern Recognition Laboratory, Department of Computer Science, Friedrich-Alexander University Erlangen-N\u00fcrnberg (FAU), 91058 Erlangen, Germany"}]},{"given":"Heiko","family":"Ga\u00dfner","sequence":"additional","affiliation":[{"name":"Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-N\u00fcrnberg (FAU), 91054 Erlangen, Germany"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-9542-0694","authenticated-orcid":false,"given":"Julius","family":"Hannink","sequence":"additional","affiliation":[{"name":"Digital Sports Group, Pattern Recognition Laboratory, Department of Computer Science, Friedrich-Alexander University Erlangen-N\u00fcrnberg (FAU), 91058 Erlangen, Germany"}]},{"given":"Cristian","family":"Pasluosta","sequence":"additional","affiliation":[{"name":"Digital Sports Group, Pattern Recognition Laboratory, Department of Computer Science, Friedrich-Alexander University Erlangen-N\u00fcrnberg (FAU), 91058 Erlangen, Germany"},{"name":"Laboratory for Biomedical Microtechnology, Department of Microsystems Engineering, University of Freiburg, 79110 Freiburg, Germany"}]},{"given":"Jochen","family":"Klucken","sequence":"additional","affiliation":[{"name":"Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-N\u00fcrnberg (FAU), 91054 Erlangen, Germany"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-0417-0336","authenticated-orcid":false,"given":"Bj\u00f6rn","family":"Eskofier","sequence":"additional","affiliation":[{"name":"Digital Sports Group, Pattern Recognition Laboratory, Department of Computer Science, Friedrich-Alexander University Erlangen-N\u00fcrnberg (FAU), 91058 Erlangen, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2017,6,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1583","DOI":"10.1002\/mds.25945","article-title":"The prevalence of Parkinson\u2019s disease: A systematic review and meta-analysis","volume":"29","author":"Pringsheim","year":"2014","journal-title":"Mov. Disord."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1136\/jnnp.2007.131045","article-title":"Parkinson\u2019s disease: Clinical features and diagnosis","volume":"79","author":"Jankovic","year":"2008","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Movement Disorder Society Task Force on Rating Scales for Parkinson\u2019s Disease (2003). The Unified Parkinson\u2019s Disease Rating Scale (UPDRS): Status and recommendations. Mov. Disord., 18, 738\u2013750.","DOI":"10.1002\/mds.10473"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1027","DOI":"10.1093\/ptj\/65.7.1027","article-title":"Reliability of observational kinematic gait analysis","volume":"65","author":"Krebs","year":"1985","journal-title":"Phys. Ther."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/S1356-689X(99)80003-4","article-title":"Gait analysis in the therapeutic environment","volume":"4","author":"Coutts","year":"1999","journal-title":"Man. Ther."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1521","DOI":"10.1109\/JBHI.2016.2608720","article-title":"Toward Pervasive Gait Analysis with Wearable Sensors: A Systematic Review","volume":"20","author":"Chen","year":"2016","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1123\/jab.2013-0319","article-title":"Spatiotemporal Gait Patterns during Overt and Covert Evaluation in Patients with Parkinson\u2019s Disease and Healthy Subjects: Is There a Hawthorne Effect?","volume":"31","author":"Espinosa","year":"2015","journal-title":"J. Appl. Biomech."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1177\/1545968311425908","article-title":"The Promise of mHealth: Daily Activity Monitoring and Outcome Assessments by Wearable Sensors","volume":"25","author":"Dobkin","year":"2011","journal-title":"Neurorehabil. Neural Repair"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1873","DOI":"10.1109\/JBHI.2015.2461555","article-title":"An emerging era in the management of Parkinson\u2019s disease: Wearable technologies and the internet of things","volume":"19","author":"Pasluosta","year":"2015","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"810","DOI":"10.1177\/1545968311424869","article-title":"Toward Automated, At-Home Assessment of Mobility among Patients with Parkinson Disease, Using a Body-Worn Accelerometer","volume":"25","author":"Weiss","year":"2011","journal-title":"Neurorehabil. Neural Repair"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1146","DOI":"10.1016\/j.gaitpost.2014.01.020","article-title":"Towards clinical application: Repetitive sensor position re-calibration for improved reliability of gait parameters","volume":"39","author":"Hamacher","year":"2014","journal-title":"Gait Posture"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1016\/j.gaitpost.2016.07.269","article-title":"Mobile inertial sensor based gait analysis: Validity and reliability of spatiotemporal gait characteristics in healthy seniors","volume":"49","author":"Donath","year":"2016","journal-title":"Gait Posture"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Orlowski, K., Eckardt, F., Herold, F., Aye, N., Edelmann-Nusser, J., and Witte, K. (2017). Examination of the reliability of an inertial sensor-based gait analysis system. Biomed. Eng.\/Biomed. Tech.","DOI":"10.1515\/bmt-2016-0067"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1016\/j.gaitpost.2013.08.023","article-title":"Automated event detection algorithms in pathological gait","volume":"39","author":"Bruening","year":"2014","journal-title":"Gait Posture"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"15953","DOI":"10.3390\/s140915953","article-title":"Clinical Evaluation of a Mobile Sensor-Based Gait Analysis Method for Outcome Measurement after Knee Arthroplasty","volume":"14","author":"Calliess","year":"2014","journal-title":"Sensors"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"684","DOI":"10.1016\/j.jbiomech.2016.01.017","article-title":"Gait characterization for osteoarthritis patients using wearable gait sensors (H-Gait systems)","volume":"49","author":"Tadano","year":"2016","journal-title":"J. Biomech."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"3362","DOI":"10.3390\/s140203362","article-title":"Gait Analysis Methods: An Overview of Wearable and Non-Wearable Systems, Highlighting Clinical Applications","volume":"14","year":"2014","journal-title":"Sensors"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"698","DOI":"10.1016\/j.medengphy.2015.03.017","article-title":"Use of wearable technology for performance assessment: A validation study","volume":"37","author":"Papi","year":"2015","journal-title":"Med. Eng. Phys."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"3977","DOI":"10.1016\/j.jbiomech.2016.11.047","article-title":"Reliability of gait analysis using wearable sensors in patients with knee osteoarthritis","volume":"49","author":"Kobsar","year":"2016","journal-title":"J. Biomech."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.gaitpost.2016.01.014","article-title":"Estimation of foot trajectory during human walking by a wearable inertial measurement unit mounted to the foot","volume":"45","author":"Kitagawa","year":"2016","journal-title":"Gait Posture"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1136\/jnnp.55.3.181","article-title":"Accuracy of clinical diagnosis of idiopathic Parkinson\u2019s disease: A clinico-pathological study of 100 cases","volume":"55","author":"Hughes","year":"1992","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1212\/WNL.17.5.427","article-title":"Parkinsonism: Onset, progression, and mortality","volume":"17","author":"Hoehn","year":"1967","journal-title":"Neurology"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"784","DOI":"10.1016\/j.gaitpost.2013.10.019","article-title":"Short-distance walking speed tests in people with Parkinson disease: Reliability, responsiveness, and validity","volume":"39","author":"Combs","year":"2014","journal-title":"Gait Posture"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"149","DOI":"10.4028\/www.scientific.net\/AEF.19.149","article-title":"MotionLab@Home: Complementary Measurement of Gait Characteristics Using Wearable Technology and Markerless Video Tracking\u2014A Study Protocol","volume":"19","author":"Kluge","year":"2016","journal-title":"Adv. Eng. Forum"},{"key":"ref_25","unstructured":"(2017, May 30). ActivityNet Database. Available online: www.activitynet.org."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1527","DOI":"10.1109\/JSEN.2010.2045498","article-title":"SHIMMER\u2014A Wireless Sensor Platform for Noninvasive Biomedical Research","volume":"10","author":"Burns","year":"2010","journal-title":"IEEE Sens. J."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1016\/j.gaitpost.2008.10.057","article-title":"Effects of walking surfaces and footwear on temporo-spatial gait parameters in young and older people","volume":"29","author":"Menant","year":"2009","journal-title":"Gait Posture"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Klucken, J., Barth, J., Kugler, P., Schlachetzki, J., Henze, T., Marxreiter, F., Kohl, Z., Steidl, R., Hornegger, J., and Eskofier, B. (2013). Unbiased and Mobile Gait Analysis Detects Motor Impairment in Parkinson\u2019s Disease. PLoS ONE, 8.","DOI":"10.1371\/journal.pone.0056956"},{"key":"ref_29","first-page":"311","article-title":"Procedure for effortless in-field calibration of three-axial rate gyro and accelerometers","volume":"7","author":"Ferraris","year":"1995","journal-title":"Sens. Mater."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"6419","DOI":"10.3390\/s150306419","article-title":"Stride Segmentation during Free Walk Movements Using Multi-Dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data","volume":"15","author":"Barth","year":"2015","journal-title":"Sensors"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1089","DOI":"10.1109\/TBME.2014.2368211","article-title":"Inertial Sensor Based Stride Parameter Calculation from Gait Sequences in Geriatric Patients","volume":"62","author":"Rampp","year":"2014","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Euston, M., Coote, P., Mahony, R., Kim, J., and Hamel, T. (2008, January 22\u201326). A complementary filter for attitude estimation of a fixed-wing UAV. Proceedings of the 2008 IEEE\/RSJ International Conference on Intelligent Robots and Systems, IROS, Nice, France.","DOI":"10.1109\/IROS.2008.4650766"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"791","DOI":"10.1016\/j.medengphy.2004.07.005","article-title":"Total body centre of mass displacement estimated using ground reactions during transitory motor tasks: Application to step ascent","volume":"26","author":"Zok","year":"2004","journal-title":"Med. Eng. Phys."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Perry, J. (1992). Gait Analysis: Normal and Pathological Function, SLACK.","DOI":"10.1097\/01241398-199211000-00023"},{"key":"ref_35","unstructured":"R Core Team (2016). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1016\/S0140-6736(86)90837-8","article-title":"Statistical methods for assessing agreement between two methods of clinical measurement","volume":"327","author":"Bland","year":"1986","journal-title":"Lancet"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1037\/0033-2909.86.2.420","article-title":"Intraclass correlations: Uses in assessing rater reliability","volume":"86","author":"Shrout","year":"1979","journal-title":"Psychol. Bull."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"050801","DOI":"10.1117\/1.JBO.20.5.050801","article-title":"Tutorial on use of intraclass correlation coefficients for assessing intertest reliability and its application in functional near-infrared spectroscopy-based brain imaging","volume":"20","author":"Li","year":"2015","journal-title":"J. Biomed. Opt."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1037\/1040-3590.6.4.284","article-title":"Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology","volume":"6","author":"Cicchetti","year":"1994","journal-title":"Psychol. Assess."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.physio.2010.12.004","article-title":"Normal walking speed: A descriptive meta-analysis","volume":"97","author":"Bohannon","year":"2011","journal-title":"Physiotherapy"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1016\/j.apmr.2004.08.012","article-title":"Quantitative Gait Analysis in Parkinson\u2019s Disease: Comparison with a Healthy Control Group","volume":"86","author":"Sofuwa","year":"2005","journal-title":"Arch. Phys. Med. Rehabil."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.gaitpost.2016.09.021","article-title":"Validation of a commercial inertial sensor system for spatiotemporal gait measurements in children","volume":"51","author":"Lanovaz","year":"2017","journal-title":"Gait Posture"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1016\/j.clinbiomech.2009.11.002","article-title":"Gait parameters and stride-to-stride variability during familiarization to walking on a split-belt treadmill","volume":"25","author":"Zeni","year":"2010","journal-title":"Clin. Biomech."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1002\/mds.870130310","article-title":"Gait variability and basal ganglia disorders: Stride-to-stride variations of gait cycle timing in parkinson\u2019s disease and Huntington\u2019s disease","volume":"13","author":"Hausdorff","year":"1998","journal-title":"Mov. Disord."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1016\/j.jelekin.2011.07.011","article-title":"Effect of severity of knee osteoarthritis on the variability of gait parameters","volume":"21","author":"Kiss","year":"2011","journal-title":"J. Electromyogr. Kinesiol."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.gaitpost.2004.06.009","article-title":"Gait differences between individuals with post-stroke hemiparesis and non-disabled controls at matched speeds","volume":"22","author":"Chen","year":"2005","journal-title":"Gait Posture"},{"key":"ref_47","unstructured":"Becker, L., and Russ, P. (2016, January 6\u20139). Accuracy of joint angles using markerless silhouette-based tracking and hybrid tracking vs. traditional marker based tracking. Proceedings of the 21st Annual Congress of the European College of Sport Science, Vienna, Austria."},{"key":"ref_48","unstructured":"Becker, L., and Russ, P. (2016, January 14\u201316). Genauigkeit markerloser und hybrider Bewegungsanalyse im Vergleich zu marker basierten Verfahren bei der Erfassung von Gelenkwinkeln. Proceedings of the 11 Symposium der dvs Sportinformatik, Magdeburg, Germany."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0087640","article-title":"Comparison of markerless and marker-based motion capture technologies through simultaneous data collection during gait: Proof of concept","volume":"9","author":"Ceseracciu","year":"2014","journal-title":"PLoS ONE"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1007\/s11263-009-0284-3","article-title":"Markerless motion capture through visual hull, articulated ICP and subject specific model generation","volume":"87","author":"Corazza","year":"2010","journal-title":"Int. J. Comput. Vis."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"398","DOI":"10.1016\/j.gaitpost.2008.10.060","article-title":"Assessment of the kinematic variability among 12 motion analysis laboratories","volume":"29","author":"Gorton","year":"2009","journal-title":"Gait Posture"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0147111","article-title":"Effects of simulated marker placement deviations on running kinematics and evaluation of a morphometric-based placement feedback method","volume":"11","author":"Osis","year":"2016","journal-title":"PLoS ONE"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/17\/7\/1522\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,7]],"date-time":"2024-06-07T23:22:59Z","timestamp":1717802579000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/17\/7\/1522"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,28]]},"references-count":52,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2017,7]]}},"alternative-id":["s17071522"],"URL":"https:\/\/doi.org\/10.3390\/s17071522","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,6,28]]}}}