Validity of Hololens Augmented Reality Head Mounted Display for Measuring Gait Parameters in Healthy Adults and Children with Cerebral Palsy

Guinet, Anne-Laure; Bouyer, Guillaume; Otmane, Samir; Desailly, Éric

doi:10.3390/s21082697

Cited by 14 publications

(9 citation statements)

References 51 publications

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“…Similarly, more and more research is observed for physical health therapy where exergames have been developed for rehabilitation of patients and results are collected based on physical movements done during the serious game. An approach in [15] focused on the gait and posture of participants. Research such as [15] also shows that gait rehabilitation using a mounted AR headset with a new algorithmic approach called HoloLens can be beneficial for patients especially kids with cerebral palsy (CP).…”

Section: Rq1) What Is the Scope Of Ar In Terms Of Its Uses For Health...mentioning

confidence: 99%

Applications of Augmented Reality in Neurology: Architectural Model and Guidelines

et al. 2022

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Neurology is considered as one of the most challenging fields of medical science due to the complexity of the nervous system in human body. The treatment processes of the patients suffering from neurological disorders are greatly influenced by the advancements in technology. In this regard, the infusion of augmented reality (AR) has immensely improved patients' and healthcare workers' experiences in the field of neurology. Several efforts are being made by the community to introduce various applications of AR for patients as well as for healthcare workers in neurology. This study systematically examines the applications of AR in neurology and synthesizes their uses and impacts in the treatment and assistance of the patients suffering from neurological disorders as well as in the assistance of healthcare workers. The results reveal that most of the AR applications are used for motor disorders while lesser systems are designed for patients with degenerative diseases, most of them being task assistance systems. Moreover, the use of AR applications leaves both long-term and short-term impacts in improving the quality of patient's life. Furthermore, there is a need of introducing more interactive AR systems for patients with degenerative diseases as well as exploring the possibility of using such systems for mental rehabilitation. It has also been identified that there is a potential to develop AR applications for healthcare workers, to train and assist them through simulations. In addition to reviewing the AR applications, this work proposes a taxonomy of AR applications in neurology with different dimensions including scope of AR, type of neurological disorder, and impact of AR assistance on patient's life. Furthermore, this article also highlights challenges the patients with neurological disorders face while using AR applications. Based on the identified challenges, a model has been proposed for application designers and developers to help them develop more useful AR systems. An AR applications architecture has also been suggested for designing the AR systems for patients suffering specifically from degenerative or movement neuro-disorders. Lastly, this article presents some directions for future work in terms of AR usage in neuroscience.

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Section: Rq1) What Is the Scope Of Ar In Terms Of Its Uses For Health...mentioning

confidence: 99%

Applications of Augmented Reality in Neurology: Architectural Model and Guidelines

et al. 2022

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“…The Intra-Class Coefficient between steps length calculated with HoloStep and the reference was 0.92 for children with GMFCS I and 0.86 for children with GMFCS II or III. [23].…”

Section: A Design Studymentioning

confidence: 99%

“…During the session, raw data were logged (100Hz) in .txt format through the application and were available in the Windows Device Portal. Logfile contained time (s), position x, y, and z of the headset, step length, and distance traveled calculated with HoloStep algorithm [23]. The outcomes were: Mean speed (condition MAX and condition INTER), percentage of time spent above the MAX target speed (condition MAX), percentage of time spent around the INTER target speed (± 0.1 m/s) (condition INTER), time to reach the target speed (condition MAX and condition INTER).…”

Section: Outcome Assessmentmentioning

confidence: 99%

Visual Feedback in Augmented Reality to Walk at Predefined Speed Cross-Sectional Study Including Children With Cerebral Palsy

Guinet

Bouyer

Otmane

et al. 2022

IEEE Trans. Neural Syst. Rehabil. Eng.

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In an augmented reality environment, the range of possible real-time visual feedback is extensive. This study aimed to compare the impact of six scenarios in augmented reality combining four visual feedback characteristics on achieving a target walking speed. The six scenarios have been developed for Microsoft Hololens augmented reality headset. The four feedback characteristics that we have varied were: Color; Spatial anchoring; Speed of the feedback, and Persistence. Each characteristic could have different values (for example, the color could be unicolor, bicolor, or gradient). Participants had to walk for two consecutive walking trials for each scenario: at their maximal speed and an intermediate speed. Mean speed, percentage of time spent above or around target speed, and time to reach target speed were compared between scenarios using mixed linear models. A total of 25 children with disabilities have been included. The feasibility and user experience were excellent. Mean speed during scenario 6, which displayed feedback with gradient color, attached to the world, with a speed relative to the player equal to his speed, and that disappeared over time, was significantly higher than other scenarios and control (p=0.003). Participants spent 80.98% of time above target speed during scenario 6. This scenario mixed the best combination of feedback characteristics to exceed the target walking speed (p=0.0058). Scenarios 5 and 6, which shared the same feedback characteristics for spatial anchoring (world-locked) and feedback speed (equal to the player speed), decreased the time to reach the target speed (p=0.019). Delivering multi-modal feedback has been recognized as more effective for improving motor performance. Therefore, our results showed that not all visual feedback had the same impact on performance. Further studies are required to test the weight of each feedback characteristic and their possible interactions inside each scenario. This study was registered in the ClinicalTrials.gov database (NCT04460833).

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“…The primary aim of this project was to determine whether the data derived from the HL2 characterizing lower extremity function during continuous walking and the TUG were equivalent to the outcomes derived using the gold standard MoCap system. Based on positive pilot studies using the HL1 [16][17][18][19], it was hypothesized that the biomechanical outcomes of gait, turning, and functional mobility from the two systems would be equivalent.…”

Section: Introductionmentioning

confidence: 99%

The Microsoft HoloLens 2 Provides Accurate Measures of Gait, Turning, and Functional Mobility in Healthy Adults

Koop

Rosenfeldt

Owen

et al. 2022

Sensors

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Augmented-reality (AR) headsets, such as the Microsoft HoloLens 2 (HL2), have the potential to be the next generation of wearable technology as they provide interactive digital stimuli in the context of ecologically-valid daily activities while containing inertial measurement units (IMUs) to objectively quantify the movements of the user. A necessary precursor to the widespread utilization of the HL2 in the fields of movement science and rehabilitation is the rigorous validation of its capacity to generate biomechanical outcomes comparable to gold standard outcomes. This project sought to determine equivalency of kinematic outcomes characterizing lower-extremity function derived from the HL2 and three-dimensional (3D) motion capture systems (MoCap). Sixty-six healthy adults completed two lower-extremity tasks while kinematic data were collected from the HL2 and MoCap: (1) continuous walking and (2) timed up-and-go (TUG). For all the continuous walking metrics (cumulative distance, time, number of steps, step and stride length, and velocity), equivalence testing indicated that the HL2 and MoCap were statistically equivalent (error ≤ 5%). The TUG metrics, including turn duration and turn velocity, were also statistically equivalent between the two systems. The accurate quantification of gait and turning using a wearable such as the HL2 provides initial evidence for its use as a platform for the development and delivery of gait and mobility assessments, including the in-person and remote delivery of highly salient digital movement assessments and rehabilitation protocols.

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Validity of Hololens Augmented Reality Head Mounted Display for Measuring Gait Parameters in Healthy Adults and Children with Cerebral Palsy

Cited by 14 publications

References 51 publications

Applications of Augmented Reality in Neurology: Architectural Model and Guidelines

Applications of Augmented Reality in Neurology: Architectural Model and Guidelines

Visual Feedback in Augmented Reality to Walk at Predefined Speed Cross-Sectional Study Including Children With Cerebral Palsy

The Microsoft HoloLens 2 Provides Accurate Measures of Gait, Turning, and Functional Mobility in Healthy Adults

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