Graduation Year

2017

Graduation Month

May

Document Type

Thesis - Campus Access Only

Degree Name

Bachelor of Science – Health and Human Performance

School or Department

Health and Human Performance

Major

Health and Human Performance – Exercise Science

Faculty Mentor

Dr. Matt Bundle

Faculty Mentor Department

Health and Human Performance

Keywords

movement kinematics, rise from supine, bed rise attempt, fall detection, shoulder displacement, accelerometer

Subject Categories

Medicine and Health Sciences

Abstract

PURPOSE: Bed-falls can be attributed to factors including compromised cognitive state, physical limitations, or muscular imbalances which impair normal biomechanics, and are a common occurrence within the amputee and geriatric populations. Sixty percent of nursing home residents fall each year, and half of these patients experience several falling episodes (3). Injuries associated with falls take a substantial economic toll on our economy, resulting in $34 billion of direct medical costs annually (4). A single patient fall resulting in an injury costs an average of $14,000 (5). Currently, the movement patterns used when people attempt to rise from bed, and thus place themselves at risk for fall, are understudied and poorly understood. The goal of this study was to quantify anatomical landmarks and identify whether common movement patterns exist during a rise from supine.

METHODS: We developed a three dimension high-speed motion capture system to quantify anatomical landmark displacements. A population of apparently-healthy college students completed rise attempts from a standard-height hospital bed, wearing reflective markers on eight specific anatomical landmarks. Frames were obtained at a rate of 125 Hz and integrated into the DLTcal5 program written for MATLab, using algorithms designed by Tyson Hedrick (11) and modified by Clark and Weyand (12).

RESULTS: Shoulder displacements during the rise from supine motor task were examined because among all other joints studied, only the shoulder displayed similar patterns between different subjects. Additionally, the magnitude of the shoulder displacements were greater than any other recorded anatomical landmark. Average shoulder displacement in the horizontal direction was 558 ± 56 millimeters. Average shoulder displacement in the vertical direction was 514 ± 42 millimeters.

CONCLUSION: These research findings provide insight into the relationship of biomechanical movement patterns and bed rise attempts, which were previously understudied and poorly understood. Our data indicates that of all the anatomical landmarks studied, only the shoulder provides consistent displacements between subjects that are of a sufficient magnitude to warrant additional consideration for future instrumentation.

Honors College Research Project

Yes

Available for download on Tuesday, May 05, 2020

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© Copyright 2017 Ashlin G. Staso