Introduction: Dizziness is a common complaint affecting up to 23% of the world population. Diagnosis is of utmost importance and routinely involves several tests to be performed in specialized centers. The advent of a new generation of technical devices would make envision their use for a valid objective vestibular assessment. Microsoft HoloLens 2 (HL2) mixed reality headset has the potential to be a valuable wearable technology that provides interactive digital stimuli and inertial measurement units (IMUs) to objectively quantify the movements of the user in response to various exercises. The aim of this study was to validate the integration of HoloLens with traditional methods used to analyze the vestibular function in order to obtain precise diagnostic values. Methods: Twenty-six healthy adults completed the Dynamic Gait Index tests both with a traditional evaluation and while wearing HL2 headset, thus allowing to collect kinematic data of the patients’ head and eyes. The subjects had to perform 8 different tasks, and the scores were independently assigned by two otolaryngology specialists. Results: The maximum of the mean position of the walking axis of the subjects was found in the second task (−0.14 ± 0.23 m), while the maximum value of the standard deviation of the walking axis was found in the fifth task (−0.12 ± 0.27 m). Overall, positive results were obtained in regard to the validity of the HL2 use to analyze kinematic features. Conclusion: The accurate quantification of gait, movement along the walking axis, and deviation from the normality using HL2 provide an initial evidence for its useful adoption as a valuable tool in gait and mobility assessment.
Augmented virtual reality in vestibular assessment: a dynamic gait application / Margani, Valerio; Pascucci, Simona; Talamonti, Rita; Serani, Emilio; Bini, Fabiano; Marinozzi, Franco; Volpini, Luigi; Elfarargy, Haitham H.; Covelli, Edoardo; Barbara, Maurizio. - In: AUDIOLOGY & NEURO-OTOLOGY. - ISSN 1420-3030. - (2023). [10.1159/000529993]
Augmented virtual reality in vestibular assessment: a dynamic gait application
Valerio Margani
Membro del Collaboration Group
;Simona PascucciMembro del Collaboration Group
;Rita TalamontiMembro del Collaboration Group
;Fabiano BiniMembro del Collaboration Group
;Franco MarinozziConceptualization
;Edoardo CovelliMembro del Collaboration Group
;Maurizio BarbaraConceptualization
2023
Abstract
Introduction: Dizziness is a common complaint affecting up to 23% of the world population. Diagnosis is of utmost importance and routinely involves several tests to be performed in specialized centers. The advent of a new generation of technical devices would make envision their use for a valid objective vestibular assessment. Microsoft HoloLens 2 (HL2) mixed reality headset has the potential to be a valuable wearable technology that provides interactive digital stimuli and inertial measurement units (IMUs) to objectively quantify the movements of the user in response to various exercises. The aim of this study was to validate the integration of HoloLens with traditional methods used to analyze the vestibular function in order to obtain precise diagnostic values. Methods: Twenty-six healthy adults completed the Dynamic Gait Index tests both with a traditional evaluation and while wearing HL2 headset, thus allowing to collect kinematic data of the patients’ head and eyes. The subjects had to perform 8 different tasks, and the scores were independently assigned by two otolaryngology specialists. Results: The maximum of the mean position of the walking axis of the subjects was found in the second task (−0.14 ± 0.23 m), while the maximum value of the standard deviation of the walking axis was found in the fifth task (−0.12 ± 0.27 m). Overall, positive results were obtained in regard to the validity of the HL2 use to analyze kinematic features. Conclusion: The accurate quantification of gait, movement along the walking axis, and deviation from the normality using HL2 provide an initial evidence for its useful adoption as a valuable tool in gait and mobility assessment.File | Dimensione | Formato | |
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