“Everything Happens in the Hallways”: Exploring User Activity in the Corridors at Two Rehabilitation Units

Colley, Jacinta; Zeeman, Heidi; Kendall, Elizabeth

doi:10.1177/1937586717733149

Cited by 17 publications

(19 citation statements)

References 26 publications

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“…41 generally underrecognized as providing spaces for incidental activity and interaction. 53 There is limited stroke-specific research about the value or harm of single-versus multiple-bed rooms. A higher proportion of single rooms may be associated with lower levels of patient activity in acute stroke.…”

Section: Evidence-based Practice Including Rehabilitationmentioning

confidence: 99%

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Why hospital design matters: A narrative review of built environments research relevant to stroke care

Bernhardt

Lipson-Smith

Davis

et al. 2021

International Journal of Stroke

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Healthcare facilities are among the most expensive buildings to construct, maintain, and operate. How building design can best support healthcare services, staff, and patients is important to consider. In this narrative review we outline why the healthcare environment matters and describe areas of research focus and current built environment evidence that supports health care in general and stroke care in particular. Ward configuration, corridor design, and staff station placements can all impact care provision, staff and patient behaviour. Contrary to many new ward design approaches, single bed rooms are neither uniformly favoured, nor strongly evidence-based, for people with stroke. Green spaces are important both for staff (helping to reduce stress and errors), patients and relatives, although access to, and awareness of, these and other communal spaces is often poor. Built environment research specific to stroke is limited but increasing and we highlight emerging collaborative multi-stakeholder partnerships (Living Labs) contributing to this evidence base. We believe that involving engaged and informed clinicians in design and research will help shape better hospitals of the future.

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Section: Evidence-based Practice Including Rehabilitationmentioning

confidence: 99%

“…Hallways and circulation spaces are generally underrecognized as providing spaces for incidental activity and interaction. 53 …”

Section: Stroke Care Built Environment Evidencementioning

confidence: 99%

Why hospital design matters: A narrative review of built environments research relevant to stroke care

Bernhardt

Lipson-Smith

Davis

et al. 2021

International Journal of Stroke

Self Cite

View full text Add to dashboard Cite

show abstract

“…The Smart Hallway's goal is to provide a non-invasive approach to extract gait outcome measures without human intervention. To effectively incorporate the system into hospital processes, the system must not interfere with individuals moving through the hallway [17]. Thus, typical hospital hallway dimensions were considered (length × 2.4 m × 2.8 m) when determining the placement of system components.…”

Section: System Design Requirementsmentioning

confidence: 99%

Video-Based Deep Learning Approach for 3D Human Movement Analysis in Institutional Hallways: A Smart Hallway

2021

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New artificial intelligence- (AI) based marker-less motion capture models provide a basis for quantitative movement analysis within healthcare and eldercare institutions, increasing clinician access to quantitative movement data and improving decision making. This research modelled, simulated, designed, and implemented a novel marker-less AI motion-analysis approach for institutional hallways, a Smart Hallway. Computer simulations were used to develop a system configuration with four ceiling-mounted cameras. After implementing camera synchronization and calibration methods, OpenPose was used to generate body keypoints for each frame. OpenPose BODY25 generated 2D keypoints, and 3D keypoints were calculated and postprocessed to extract outcome measures. The system was validated by comparing ground-truth body-segment length measurements to calculated body-segment lengths and ground-truth foot events to foot events detected using the system. Body-segment length measurements were within 1.56 (SD = 2.77) cm and foot-event detection was within four frames (67 ms), with an absolute error of three frames (50 ms) from ground-truth foot event labels. This Smart Hallway delivers stride parameters, limb angles, and limb measurements to aid in clinical decision making, providing relevant information without user intervention for data extraction, thereby increasing access to high-quality gait analysis for healthcare and eldercare institutions.

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“…Patients, staff, and visitors typically move through similar hallways in hospitals, rehabilitation centers, or long-term care facilities [18] . This space could be utilized in an intelligent way by building a system to perform marker-less stride analysis as patients or residents walk through the hallway.…”

Section: Introductionmentioning

confidence: 99%

Development of a Smart Hallway for Marker-Less Human Foot Tracking and Stride Analysis

Gutta

Fallavollita

Baddour

et al. 2021

IEEE J. Transl. Eng. Health Med.

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In this research, a marker-less 'smart hallway' is proposed where stride parameters are computed as a person walks through an institutional hallway. Stride analysis is a viable tool for identifying mobility changes, classifying abnormal gait, estimating fall risk, monitoring progression of rehabilitation programs, and indicating progression of nervous system related disorders. Methods: Smart hallway was build using multiple Intel RealSense D415 depth cameras. A novel algorithm was developed to track a human foot using combined point cloud data obtained from the smart hallway. A method was implemented to separate the left and right leg point cloud data, then find the average foot dimensions. Foot tracking was achieved by fitting a box with average foot dimensions to the foot, with the box's base on the foot's bottom plane. A smart hallway with this novel foot tracking algorithm was tested with 22 able-bodied volunteers by comparing marker-less system stride parameters with Vicon motion analysis output. Results: With smart hallway frame rate at approximately 60fps, temporal stride parameter absolute mean differences were less than 30ms. Random noise around the foot's point cloud was observed, especially during foot strike phases. This caused errors in medial-lateral axis dependent parameters such as step width and foot angle. Anterior-posterior dependent (stride length, step length) absolute mean differences were less than 25mm. Conclusion: This novel marker-less smart hallway approach delivered promising results for stride analysis with small errors for temporal stride parameters, anterior-posterior stride parameters, and reasonable errors for medial-lateral spatial parameters.

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“Everything Happens in the Hallways”: Exploring User Activity in the Corridors at Two Rehabilitation Units

Cited by 17 publications

References 26 publications

Why hospital design matters: A narrative review of built environments research relevant to stroke care

Why hospital design matters: A narrative review of built environments research relevant to stroke care

Video-Based Deep Learning Approach for 3D Human Movement Analysis in Institutional Hallways: A Smart Hallway

Development of a Smart Hallway for Marker-Less Human Foot Tracking and Stride Analysis

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