Infrastructureless Pedestrian Navigation to Assess the Response of Alzheimer's Patients to Visual Cues

McCarthy, Ian; Yong, Keir; Suzuki, T.; Yang, Biao; Boampong, Derrick; Holloway, Catherine; Tyler, Nick; Carton, Amelia M.; Crutch, Sebastian J.

doi:10.1049/ic.2015.0134

Cited by 5 publications

(7 citation statements)

References 8 publications

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“…Walking paths for control, tAD and PCA groups to left, middle and right door without obstacle, under baseline condition (no cues) generated using dead reckoning. Paths were estimated using foot velocity to calculate relative displacement between each step, and so do not show absolute position . Data are presented from when participants crossed the starting line.…”

Section: Resultsmentioning

confidence: 97%

“…Walking path data were analyzed for the time period from a participant's feet crossing the starting line to when they reached the target. IMU accelerations were converted to laboratory coordinates; velocity was calculated, corrected for sensor drift based on when feet were in contact with the ground, and integrated to estimate foot position relative to a point of origin using dead reckoning . Walking path straightness index (SI) was calculated as a ratio of the shortest possible route to the length of the route actually taken by a participant, with a range (0–1) where 1 indicated maximum straightness .…”

Section: Methodsmentioning

confidence: 99%

“…The current investigation intends to maximize the translational potential of findings through assessing cue effects across different patient phenotypes and environmental conditions within a controlled real‐world setting. Quantitative exploration of navigation is enabled through concurrent tracking of physical location and gait …”

Section: Introductionmentioning

confidence: 99%

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Navigational cue effects in Alzheimer's disease and posterior cortical atrophy

Yong

McCarthy

Poole

et al. 2018

Ann Clin Transl Neurol

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ObjectiveDeficits in spatial navigation are characteristic and disabling features of typical Alzheimer's disease (tAD) and posterior cortical atrophy (PCA). Visual cues have been proposed to mitigate such deficits; however, there is currently little empirical evidence for their use.MethodsThe effect of visual cues on visually guided navigation was assessed within a simplified real‐world setting in individuals with tAD (n = 10), PCA (n = 8), and healthy controls (n = 12). In a repeated‐measures design comprising 36 trials, participants walked to a visible target destination (an open door within a built environment), with or without the presence of an obstacle. Contrast and motion‐based cues were evaluated; both aimed to facilitate performance by applying perceptual changes to target destinations without carrying explicit information. The primary outcome was completion time; secondary outcomes were measures of fixation position and walking path directness during consecutive task phases, determined using mobile eyetracking and motion capture methods.ResultsResults illustrate marked deficits in patients’ navigational ability, with patient groups taking an estimated two to three times longer to reach target destinations than controls and exhibiting tortuous walking paths. There were no significant differences between tAD and PCA task performance. Overall, patients took less time to reach target destinations under cue conditions (contrast‐cue: 11.8%; 95% CI: [2.5, 20.3]) and were more likely initially to fixate on targets.InterpretationThe study evaluated navigation to destinations within a real‐world environment. There is evidence that introducing perceptual changes to the environment may improve patients’ navigational ability.

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Section: Resultsmentioning

confidence: 97%

Section: Methodsmentioning

confidence: 99%

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Navigational cue effects in Alzheimer's disease and posterior cortical atrophy

Yong

McCarthy

Poole

et al. 2018

Ann Clin Transl Neurol

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“…The measurement technique has been outlined previously [21]. IMUs (Xsens, The Netherlands) were attached to the heel of each foot.…”

Section: Methodsmentioning

confidence: 99%

Detection and localisation of hesitant steps in people with Alzheimer's disease navigating routes of varying complexity

McCarthy

Suzuki

Holloway

et al. 2019

Healthc. technol. lett.

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People with Alzheimer's disease (AD) have characteristic problems navigating everyday environments. While patients may exhibit abnormal gait parameters, adaptive gait irregularities when navigating environments are little explored or understood. The aim of this study was to assess adaptive locomotor responses of AD subjects in a complex environment requiring spatial navigation. A controlled environment of three corridors was set up: straight (I), U-shaped (U) and dog-leg (S). Participants were asked to walk along corridors as part of a counterbalanced repeated-measures design. Three groups were studied: 11 people with posterior cortical atrophy (PCA), 10 with typical Alzheimer's disease (tAD) and 13 controls. Spatio-temporal gait parameters and position within the corridors were monitored with shoe-mounted inertial measurement units (IMUs). Hesitant steps were identified from statistical analysis of the distribution of step time data. Walking paths were generated from position data calculated by double integration of IMU acceleration. People with PCA and tAD had similar gait characteristics, having shorter steps and longer step times than controls. Hesitant steps tended to be clustered within certain regions of the walking paths. IMUs enabled identification of key gait characteristics in this clinical population (step time, length and step hesitancy) and environmental conditions (route complexity) modifying their expression.

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“…Collection of physiological data is the central focus of the papers included [16][17][18][19][20][21][22][23][24][25][26][27][28][29][37][38][39][40][41][42][43]. 4 aspects are highlighted: physiological data features monitored; device used; length of experiment; deployment methods and durations.…”

Section: Physiological Data Collectionmentioning

confidence: 99%

Review of Methods for Data Collection Experiments with People with Dementia and the Impact of COVID-19

Harper

Ghali

Hussain

et al. 2021

Intelligent Computing Theories and Application

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The development of a wearable-based system for detecting difficulties in the daily lives of people with dementia would be highly useful in the day-today management of the disease. To develop such a system, it would be necessary to identify physiological indicators of the difficulties, which can be identified by analyzing physiological datasets from people with dementia. However, there is no such data available to researchers. As such, it is vital that data is collected and made available in future. In this paper we perform a review of past physiological data collection experiments conducted with people with dementia and evaluate the methods used at each stage of the experiment. Consideration is also given to the impacts and limitations imposed by the COVID-19 pandemic and lockdowns both on the people with dementia-such people being one of the most at risk and affected groups-and on the efficacy and safety of each of the methods. It is concluded that the choice of method to be utilized in future data collection experiments is heavily dependent on the type and severity of the dementia the participants are experiencing, and that the choice of remote or COVID-secure methods should be used during the COVID-19 pandemic; many of the methods reviewed could allow for the spread of the virus if utilized during a pandemic.

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Infrastructureless Pedestrian Navigation to Assess the Response of Alzheimer's Patients to Visual Cues

Cited by 5 publications

References 8 publications

Navigational cue effects in Alzheimer's disease and posterior cortical atrophy

Navigational cue effects in Alzheimer's disease and posterior cortical atrophy

Detection and localisation of hesitant steps in people with Alzheimer's disease navigating routes of varying complexity

Review of Methods for Data Collection Experiments with People with Dementia and the Impact of COVID-19

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