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There is a need for a scalable, pragmatic, personalisable, and single device intervention to improve gait characteristics related to fall risk. CuePD is an app-only approach to deliver personalised auditory cues to retrain gait in PwP. This study aimed to clinically validate and evaluate effectiveness of CuePD in PwP and to explore their perceptions of CuePD. Sixty\/60 PwP performed cued walks via metronome, instrumental and vocal music personalised to their baseline walking speed (cadence). PwP chose music from e.g., pop, rock genres. Cued walks were +10% on baseline cadence. We examined effectiveness of each cue and any carryover effects across non-cued walks. CuePD clinical validation (e.g., intraclass correlation coefficients, ICC\n                    <jats:sub>(2,1)<\/jats:sub>\n                    ) was established against a reference standard. CuePD effectiveness was examined via improvement (e.g., standardised response means) of gait characteristics indicative of fall risk (stride length, walking speed, step time coefficient of variation). CuePD quantified fall relevant mean gait characteristics against a reference system with good-to-excellent agreement (ICC\n                    <jats:sub>(2,1)<\/jats:sub>\n                    0.849 \u2013 0.986), though agreement was poor for several variability and asymmetry measures. Vocal music was the most preferred cue type, improving gait characteristics by increasing stride length (7cm, SRM of 0.873) and gait speed (0.115 m\/s, SRM of 1.264), while reducing stride time coefficient of variation (-0.418%, SRM of-0.505). CuePD received positive feedback and is an app-only approach that is clinically valid to quantify mean gait characteristics and has demonstrated acute improvements in gait characteristics related to fall risk. Findings suggest that the personalised approach may have pragmatic utility beyond the lab, but ecological validity needs to be established.\n                  <\/jats:p>","DOI":"10.1007\/s10916-026-02441-x","type":"journal-article","created":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T07:53:55Z","timestamp":1783756435000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Digital Cueing Intervention for Parkinsonian Gait: Laboratory-Based Clinical Validation and Acute Gait Responses"],"prefix":"10.1007","volume":"50","author":[{"given":"Conor","family":"Wall","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Victoria","family":"Hetherington","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rodrigo","family":"Vitorio","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"McMeekin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard","family":"Walker","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jason","family":"Moore","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rosie","family":"Morris","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunus","family":"Celik","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alan","family":"Godfrey","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,11]]},"reference":[{"key":"2441_CR1","doi-asserted-by":"publisher","unstructured":"R. Camicioli et al., \u201cPrevention of Falls in Parkinson\u2019s Disease: Guidelines and Gaps,\u201d (in eng), Mov Disord Clin Pract, vol. 10, no. 10, pp. 1459\u20131469, Oct 2023, doi: https:\/\/doi.org\/10.1002\/mdc3.13860.","DOI":"10.1002\/mdc3.13860"},{"issue":"9","key":"2441_CR2","doi-asserted-by":"publisher","first-page":"1260","DOI":"10.1177\/02692155231158565","volume":"37","author":"A Van Bladel","year":"2023","unstructured":"A. Van Bladel, N. Herssens, K. Bouche, D. Cambier, L. Maes, and N. Lefeber, \u201cProportion of falls reported in persons with Parkinson\u2019s disease: A meta-analysis,\u201d Clinical Rehabilitation, vol. 37, no. 9, pp. 1260\u20131277, 2023, doi: https:\/\/doi.org\/10.1177\/02692155231158565.","journal-title":"Clinical Rehabilitation"},{"issue":"6","key":"2441_CR3","doi-asserted-by":"publisher","first-page":"1215","DOI":"10.1007\/s10072-012-1126-6","volume":"33","author":"A Fasano","year":"2012","unstructured":"A. Fasano, M. Plotnik, F. Bove, and A. Berardelli, \u201cThe neurobiology of falls,\u201d (in eng), Neurol Sci, vol. 33, no. 6, pp. 1215\u201323, Dec 2012, doi: https:\/\/doi.org\/10.1007\/s10072-012-1126-6.","journal-title":"Neurol Sci"},{"key":"2441_CR4","doi-asserted-by":"publisher","unstructured":"J. R. Mammen et al., \u201cUnderstanding what aspects of Parkinson\u2019s disease matter most to patients and families,\u201d Scientific Reports, vol. 14, no. 1, p. 21171, 2024\/09\/11 2024, doi: https:\/\/doi.org\/10.1038\/s41598-024-71555-4.","DOI":"10.1038\/s41598-024-71555-4"},{"issue":"7","key":"2441_CR5","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1016\/S1474-4422(19)30044-4","volume":"18","author":"A Mirelman","year":"2019","unstructured":"A. Mirelman et al., \u201cGait impairments in Parkinson\u2019s disease,\u201d The Lancet Neurology, vol. 18, no. 7, pp. 697\u2013708, 2019, doi: https:\/\/doi.org\/10.1016\/S1474-4422(19)30044-4.","journal-title":"The Lancet Neurology"},{"issue":"9","key":"2441_CR6","doi-asserted-by":"publisher","first-page":"1272","DOI":"10.1002\/mds.26642","volume":"31","author":"AJ Espay","year":"2016","unstructured":"A. J. Espay et al., \u201cTechnology in Parkinson\u2019s disease: Challenges and opportunities,\u201d Movement Disorders, vol. 31, no. 9, pp. 1272\u20131282, 2016, doi: https:\/\/doi.org\/10.1002\/mds.26642.","journal-title":"Movement Disorders"},{"key":"2441_CR7","doi-asserted-by":"publisher","unstructured":"A. Godfrey, R. Conway, D. 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Rochester, \u201cFree-living monitoring of Parkinson\u2019s disease: Lessons from the field,\u201d Movement Disorders, vol. 31, no. 9, pp. 1293\u20131313, 2016, doi: https:\/\/doi.org\/10.1002\/mds.26718.","journal-title":"Movement Disorders"},{"key":"2441_CR10","doi-asserted-by":"publisher","unstructured":"P. Picerno, M. Iosa, C. D\u2019Souza, M. G. Benedetti, S. Paolucci, and G. Morone, \u201cWearable inertial sensors for human movement analysis: a five-year update,\u201d Expert Review of Medical Devices, vol. 18, no. sup1, pp. 79\u201394, 2021\/12\/03 2021, doi: https:\/\/doi.org\/10.1080\/17434440.2021.1988849.","DOI":"10.1080\/17434440.2021.1988849"},{"issue":"5","key":"2441_CR11","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1002\/mds.27671","volume":"34","author":"AJ Espay","year":"2019","unstructured":"A. J. 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Calabr\u00f2, \u201cMusic in Parkinson\u2019s Disease Rehabilitation: Are We Heading in the Right Direction?,\u201d (in eng), Innov Clin Neurosci, vol. 20, no. 4\u20136, pp. 11\u201313, Spring 2023."},{"key":"2441_CR16","doi-asserted-by":"publisher","unstructured":"R. S. Calabr\u00f2 et al., \u201cWalking to your right music: a randomized controlled trial on the novel use of treadmill plus music in Parkinson\u2019s disease,\u201d Journal of NeuroEngineering and Rehabilitation, vol. 16, no. 1, p. 68, 2019\/06\/07 2019, doi: https:\/\/doi.org\/10.1186\/s12984-019-0533-9.","DOI":"10.1186\/s12984-019-0533-9"},{"issue":"1","key":"2441_CR17","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1177\/0269215518788615","volume":"33","author":"MH Thaut","year":"2019","unstructured":"M. H. Thaut, R. R. Rice, T. Braun Janzen, C. P. Hurt-Thaut, and G. C. 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Tan, \u201cInnovative technology-based interventions in Parkinson\u2019s disease: A systematic review and meta-analysis,\u201d (in eng), Ann Clin Transl Neurol, vol. 11, no. 10, pp. 2548\u20132562, Oct 2024, doi: https:\/\/doi.org\/10.1002\/acn3.52160.","journal-title":"Ann Clin Transl Neurol"},{"key":"2441_CR34","doi-asserted-by":"publisher","unstructured":"I. Carpinella et al., \u201cWearable Sensor-Based Biofeedback Training for Balance and Gait in Parkinson Disease: A Pilot Randomized Controlled Trial,\u201d Archives of Physical Medicine and Rehabilitation, vol. 98, no. 4, pp. 622\u2013630.e3, 2017\/04\/01\/ 2017, doi: https:\/\/doi.org\/10.1016\/j.apmr.2016.11.003.","DOI":"10.1016\/j.apmr.2016.11.003"},{"key":"2441_CR35","doi-asserted-by":"publisher","unstructured":"P. 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