{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T04:28:33Z","timestamp":1772252913574,"version":"3.50.1"},"reference-count":54,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2022,4,6]],"date-time":"2022-04-06T00:00:00Z","timestamp":1649203200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Regional Development Fund (Interreg FWVl NOMADe)","award":["4.7.360"],"award-info":[{"award-number":["4.7.360"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Understanding neck pain is an important societal issue. Kinematic data from sensors may help to gain insight into the pathophysiological mechanisms associated with neck pain through a quantitative sensorimotor assessment of one patient. The objective of this study was to evaluate the potential usefulness of artificial intelligence with several machine learning (ML) algorithms in assessing neck sensorimotor performance. Angular velocity and acceleration measured by an inertial sensor placed on the forehead during the DidRen laser test in thirty-eight acute and subacute non-specific neck pain (ANSP) patients were compared to forty-two healthy control participants (HCP). Seven supervised ML algorithms were chosen for the predictions. The most informative kinematic features were computed using Sequential Feature Selection methods. The best performing algorithm is the Linear Support Vector Machine with an accuracy of 82% and Area Under Curve of 84%. The best discriminative kinematic feature between ANSP patients and HCP is the first quartile of head pitch angular velocity. This study has shown that supervised ML algorithms could be used to classify ANSP patients and identify discriminatory kinematic features potentially useful for clinicians in the assessment and monitoring of the neck sensorimotor performance in ANSP patients.<\/jats:p>","DOI":"10.3390\/s22072805","type":"journal-article","created":{"date-parts":[[2022,4,7]],"date-time":"2022-04-07T21:08:22Z","timestamp":1649365702000},"page":"2805","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Head Pitch Angular Velocity Discriminates (Sub-)Acute Neck Pain Patients and Controls Assessed with the DidRen Laser Test"],"prefix":"10.3390","volume":"22","author":[{"given":"Renaud","family":"Hage","sequence":"first","affiliation":[{"name":"CeREF Technique, Chauss\u00e9e de Binche 159, 7000 Mons, Belgium"},{"name":"Traitement Formation Th\u00e9rapie Manuelle (TFTM), Private Physiotherapy\/Manual Therapy Center, Avenue des Cerisiers 211A, 1200 Brussels, Belgium"},{"name":"Facult\u00e9 des Sciences de la Motricit\u00e9, UCLouvain, Place Pierre de Coubertin 1, 1348 Ottignies-Louvain-la-Neuve, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabien","family":"Buisseret","sequence":"additional","affiliation":[{"name":"CeREF Technique, Chauss\u00e9e de Binche 159, 7000 Mons, Belgium"},{"name":"Service de Physique Nucl\u00e9aire et Subnucl\u00e9aire, UMONS, Research Institute for Complex Systems, Place du Parc 20, 7000 Mons, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martin","family":"Houry","sequence":"additional","affiliation":[{"name":"Centre de Recherche FoRS, Haute-Ecole de Namur-Li\u00e8ge-Luxembourg (Henallux), Rue Victor Libert 36H, 6900 Marche-en-Famenne, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2061-0968","authenticated-orcid":false,"given":"Fr\u00e9d\u00e9ric","family":"Dierick","sequence":"additional","affiliation":[{"name":"CeREF Technique, Chauss\u00e9e de Binche 159, 7000 Mons, Belgium"},{"name":"Facult\u00e9 des Sciences de la Motricit\u00e9, UCLouvain, Place Pierre de Coubertin 1, 1348 Ottignies-Louvain-la-Neuve, Belgium"},{"name":"Laboratoire d\u2019Analyse du Mouvement et de la Posture (LAMP), Centre National de R\u00e9\u00e9ducation Fonctionnelle et de R\u00e9adaptation\u2013Rehazenter, Rue Andr\u00e9 V\u00e9sale 1, 2674 Luxembourg, Luxembourg"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,6]]},"reference":[{"key":"ref_1","unstructured":"GBD 2015 Disease and Injury Incidence and Prevalence Collaborators (2015). 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