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A Novel Wearable IMU-Based Assessment of Postural Stability

A Novel Wearable IMU-Based Assessment of Postural Stability
Author: Shubo Lyu
Publisher:
Total Pages: 0
Release: 2022
Genre:
ISBN:

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Balance and postural stability has been studied for decades, and recently these efforts have incorporated small-size, lightweight, and inexpensive devices that may be worn on the body inside or outside the laboratory. Generally speaking, these inertial measurement units (IMUs) contain three-direction accelerometers, gyroscopic sensors for sensing angular velocity, and magnetometers for measuring orientation. IMUs have been widely used in balance studies of the high fall-risk populations, such as the elderly, people who have chronic disease, and people with impaired balance. Pregnant women constitute another population with high fall risk, but their balance has not been studied substantially using IMUs. Instead, studies of balance in pregnant women have mostly been performed in the laboratory environment with force plate. However, there are more complicated and dynamic tasks of daily living that are best studied outside the laboratory. If balance were to be studied in pregnant women using IMUs, the location of the sensor may be a problem; the IMU sensor is usually placed on a belt, near the body's center of mass. Wearing a sensor on a waist belt, however, may cause discomfort for pregnant women. Thus, the main purpose of this dissertation is to explore an alternative way of using an IMU by placing it a case worn around the neck as a pendant and to test whether a pendant IMU is as sensitive to postural instability as one work on a belt. In the first study, the design of the pendant case was investigated by testing three different novel pendant cases that could contain an IMU. The three designs differed in their curvature and included: a flat case with curvature only at the edges, a slightly curved case, and a deeply curved case. We investigated the possibility that a free-swinging pendant would magnify postural instability and potentially be more sensitive to postural instability than a sensor attached to the body. In order to test this sensitivity, we had research participants perform three standing tasks: double-leg stance, tandem stance, and single-leg stance. Each standing task involved two iv vision conditions: eyes open and eyes closed. We assumed that in the double-leg stance with eyes open induced the least postural instability, while the single-leg stance with eyes closed induced the most. In the exploration phase of the pilot study, we found out that the pendant sensor with the slightly curved base was most sensitive to differences in stability across the different standing tasks. In the second study, we tested the sensitivity of the pendant sensor design identified in the first study to postural instability. We recruited 26 young healthy adults who wore the pendant sensor and an IMU placed on a waist belt during experiments. In order to induce instability, three types of standing tasks were considered: double-leg stance, tandem stance, and single-leg stance. Two vision conditions were also involved: eyes open and eyes closed in each standing task. We assumed that the tandem and single-leg standing would induce postural instability, and in the eyes closed condition the instability was more obvious. Thus, our hypothesis was that the pendant sensor would be more sensitive to postural instability. The metrics we considered for postural stability were standard deviation of the acceleration, jerkiness, and sway area. We found that the pendant sensor was comparable to a belt-mounted sensor in distinguishing between different conditions of postural instability. In the third study, a data analysis method called recurrence quantification analysis (RQA) was implemented for the standing tasks. The RQA metrics derived from the RR plots were recurrence rate, determinism, linemax, entropy, laminarity, and trapping time. We found that the RQA method is effective for differentiating between different standing tasks with the either the pendant sensor and the belt-mounted sensor. Experimental results showed that the standard deviation of the acceleration in the superior-inferior (SI) direction is more sensitive to postural instability than other components of the acceleration. The results suggested that SI acceleration should also be explored further in future balance studies that employ with RQA-based metrics. In v addition, the pendant-based sensor was found to be better for detection of differences between vision conditions in the double-leg stance, while the lower back sensor detects these differences better in the tandem and single-leg standing conditions. In the fourth study, a simulated pregnancy belly was worn by subjects during experiments in order to simulate changes to the body's mass distribution during pregnancy. It was assumed that wearing the pregnancy belly would induce postural instability during double-leg standing and three dynamic tasks: walking, ascending and descending stairs, and a lifting task. During the lifting tasks experiments, it was found that the pendant sensor moved away from the body when the subject leaned, so these trials were excluded from the final analysis. As in the previous studies, the pendant sensor's sensitivity to imposed instability was compared to that of a beltmounted sensor. The results showed that in some cases, the pendant was able to detect simulated pregnancy condition, but in others the lower back sensor with belt worked better in detecting postural instability with simulated pregnancy. In conclusion, this dissertation is the first study to design and test a novel application for an IMU sensor by placing the sensor inside a free-swinging pendant worn around the neck. We found that in the static standing tasks, the pendant sensor was as sensitive as a belt-worn sensor at detecting instability. In addition, measures based on RQA methodology were found to be effective in identifying conditions of postural instability derived from the pendant's acceleration in the superior-inferior (SI) direction.. When dynamic tasks were studied, a limitation of the pendant sensor was found during the lifting task when the pendant moved away from the body during trunk lean. Future work should be directed toward refining the pendant case design, and pregnant women should be tested to evaluate sensitivity and the comfort level of the pendant design relative to a belt-worn sensor.


Performance of a Wearable Inertial Measurement Unit (IMU) as a Repeatable and Accurate Measurement System for Assessing Dynamic Postural Stability

Performance of a Wearable Inertial Measurement Unit (IMU) as a Repeatable and Accurate Measurement System for Assessing Dynamic Postural Stability
Author: Patrick Michael Carry
Publisher:
Total Pages: 134
Release: 2016
Genre:
ISBN:

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Recently, there has been a proliferation of wearable sensors for measuring movement. There is a strong need to evaluate these devices relative to exiting gold-standards. I aimed to compare the repeatability and accuracy of postural stability metrics obtained from an inertial measurement unit (IMU) relative to the current gold standard, three-dimensional optical motion analysis (3-D OMA). Based on the a-priori and interim sample size calculations, 30 subjects were included in this cross-sectional study. The two measurement methods simultaneously captured postural stability during a single limb squat (SLS) and a single limb drop (SLD) task. Linear mixed models were used to calculate intraclass correlation coefficients (ICC, repeatability), compare agreement between methods, and test the association between postural stability and limb dominance. The average age and BMI of the subjects was 28.3 years (±4.1) and 23.0 kg*m2 (±2.7), respectively. During the SLS, the median ICC value among the six postural stability metrics was 0.90 [range: 0.76-0.91] for the IMU system compared to 0.88 [Range: 0.70-0.89] for the 3-D OMA. Repeatability was lower during the SLD task. The median ICC value among the four postural stability metrics was 0.56 [range: 0.55-0.58] for the IMU method and 0.73 [range: 0.70-0.73] for the 3-D OMA method. The bias or mean difference between systems (IMU - 3-D OMA) in the range metric was 7.7° [limits of agreement: -1.6-17.0°] during the SLS. Agreement was much lower during the SLD. The difference in the range postural stability metric between systems was 81.1° [limits of agreement: -13.1-149.2°]. There was no difference [p>0.05] between limbs according to any of the postural stability metrics. Maximum knee flexion (surrogate for task effort) and activity level were significantly associated with the postural stability during the SLS. Both systems demonstrated high levels of precision and accuracy during the SLS. Lower levels of precision and accuracy were observed during the SLD. The calculation of angular metrics based on acceleration data appears to be prone to systematic bias during tasks that involve rapid changes in acceleration. Activity level and maximum knee flexion angle should be considered as potential confounding variables when evaluating postural stability.


Assessing Gait and Postural Stability of Construction Workers Using Wearable Wireless Sensor Networks

Assessing Gait and Postural Stability of Construction Workers Using Wearable Wireless Sensor Networks
Author: Houtan Jebelli
Publisher:
Total Pages: 108
Release: 2015
Genre:
ISBN:

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Falling accidents are a leading cause of fatal and nonfatal injuries in the construction industry. This fact demonstrates the need for a comprehensive fall-risk analysis that incorporates the effects of construction workers’ physiological characteristics. In this context, the objective of the thesis is to investigate and validate the usefulness of the gait- and postural-stability metrics in assessing construction workers’ fall risks. Diverse metrics that assess the capability to keep the body balanced and maintain coordination of body segments during locomotion (gait stability) and stationary postures (postural stability) have been introduced and used in clinical applications. However, their usefulness in the industry settings, in particular construction domain, has not been fully examined. Specifically, the thesis investigates the usefulness of one gait-stability metric and two postural-stability metrics which are computed using kinematic data captured from wearable inertial measurement units (IMUs). The usefulness of the selected metrics is validated by demonstrating their distinguishable powers in characterizing construction tasks with different fall-risk profiles. This thesis consists of three independent papers that have been published in other venues. The first paper focuses on validating the predictive power of fall risk of the Maximum Lyapunov exponent (Max LE), a gait-stability metric established in clinical settings. The results of the first paper demonstrate that the Max LE is able to distinguish workers’ gait stability while doing tasks with different fall-risk profiles. The second paper aims to test the usefulness of two postural-stability metrics that can be calculated from inertial measurement unit (IMU) data—the velocity of the bodily center of pressure (COPv) and the resultant accelerometer (rAcc)—as predictors for measuring construction workers’ fall risk in stationary postures. The results showed the distinguishing powers of Acc and COPv in tasks with different fall-risk profiles in stationary postures. The third paper explores the application of the postrual-stability metrics to analyze fall risks of the effects of tool-loading formation on workers’ fall risks. The results of the last paper demonstrate the higher risk values associated with tools connected asymmetrically to a full-body safety harness. The postrual- and dyanamic-stability metrics demonstrated in this thesis can be used as the metrics to find tasks and postures that have a higher risk of falling. Knowing the most dangerous locations at construction sites can help the manager provide appropriate fall-prevention systems; these can decrease the hazards at the job sites. Merging the suggested approach with certain alarm systems can provide real-time monitoring, which can assess the fall risk of construction workers.


Smart Wearable Devices in Healthcare—Methodologies, Applications, and Algorithms

Smart Wearable Devices in Healthcare—Methodologies, Applications, and Algorithms
Author: Chang Yan
Publisher: Frontiers Media SA
Total Pages: 127
Release: 2023-12-14
Genre: Science
ISBN: 2832540082

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Wearable health devices have been an emerging technology that enables an ambulatory acquisition of physiological signals to monitor health status over a long time (hours/days/weeks/years) inside and outside clinical environments. Big data and deep learning, in particular, are receiving a lot of attention in this rapidly growing digital health community. A key benefit of deep learning is to analyze and learn massive amounts of data, which makes it especially valuable in healthcare since raw data is largely gathered from personalized wearable health devices. A wide range of users may benefit from unobstructed and even remote monitoring of pertinent or vital signs, which makes it easier to detect life-threatening diseases early, track the progression of pathologies and stress levels, evaluate the efficacy of therapies, provide low-cost and reliable diagnoses, etc. Today’s personal health devices have provided an amazing insight into people’s health and wellness, which allow clinicians to use these smart wearables to collect and analyze measuring data like electroencephalogram (EEG), electrocardiogram (ECG or EKG), respiration, heart rate, temperature level, blood oxygen, and blood pressure for health monitoring or clinical trials. This Research Topic mainly focuses on the technical revolution in wearable health systems, which aims to design more smart and useful wearables, contributing to a substantial change in the methodologies, applications, and algorithms of machine learning for wearable health devices. With the help of deep learning and sensor fusion capabilities from wearable health platforms, this data will be used more effectively, which can help to construct smart, novel, specific solutions to improve the quality of healthcare and capabilities of utilizing new deep learning technologies.


Wearable Inertial Sensors for Centre of Mass Stability Changes During the Incremental Shuttle Walk Test

Wearable Inertial Sensors for Centre of Mass Stability Changes During the Incremental Shuttle Walk Test
Author: Abdullah Saeed A Alshehri
Publisher:
Total Pages: 0
Release: 2022
Genre:
ISBN:

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Wearable inertial sensors are cheap and portable devices that have recently changed the measurement of the postural sway and balance; Several studies have investigated the inter-sensor and test-retest reliability or the validity of the balance in healthy individuals or those at risk. Current studies have shown inertial sensors to be reliable in static standing eyes open and able to distinguish the old from the young or fallers from non-fallers in terms of their amplitude of Medio-lateral sway, gait velocity turn speed, of Measuring during walking, stepping, or sit-to-stand have been used either in natural or other environments remains questionable. The accuracy of the discrimination between the age or fall risk remains undetermined, especially focusing on the ability of the sensors to be able to differentiate between the postural sway components in natural settings compared to the clinical state with the goal towards prevention of falls or near falls. In this type of data collection with sensors, the practical application by previous researchers has shown some of the limitations in the measurement of postural sway during movement, the reliability, and validity, thus making this unclear. Most of the studies also identified how postural stability is usually maintained in regards to the situation where the center of mass ('COM') is located over the base of support ('BOS') while dynamic (moving) or alternatively while static (in a stable position). The methodology entails collecting accelerometer data using the Inertial Measurement Unit appropriately placed on the pelvis. Necessary computation of the accelerometer output and displacement done. Required assumptions were highlighted, and data pre-processing was then described regarding the main results and limitations. The amplitude differences (cm) were recorded for each of the subjects in the first and second trials. Both positive and negative were observed in the trials. The positive corresponds to the increasing amplitude that occurs during increasing walking speed. Likewise, the negative values show decreased amplitude related to decreasing walking speed. That average sway was noted to provide a similar trend in both increasing and decreasing forms. The difference in regards to the sign was noted to be constant. However, an exception was recorded in the last subject. There was an explanation in null of the difference in the amplitude. The apparent limitation concerning the study was in terms of having non-idealist for the accelerometers, changes in the hypothesis supporting the horizontality of the y-axis during walking, and the presence of the soft-tissue artifact introduced by sliding movement to cause time-varying orientation leading to errors during the double integration are all important limitations noted to influence the outcome of the study.


The Routledge Handbook of Youth Physical Activity

The Routledge Handbook of Youth Physical Activity
Author: Timothy Brusseau
Publisher: Routledge
Total Pages: 975
Release: 2020-04-07
Genre: Health & Fitness
ISBN: 100005070X

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Over the past three decades the study of pediatric physical inactivity has become a public health concern. The decreases in physical activity have been associated with obesity and numerous hypokinetic diseases. In accordance with this public health concern, the study of pediatric physical activity has become a central part of research in the health and exercise science fields. The Routledge Handbook of Youth Physical Activity is the first book to survey the full depth and breadth of the issues facing this field. Bringing together many of the world’s experts and practitioners, the book helps to develop an understanding of the underlying issues related to pediatric physical activity as well as the role physical activity plays on cognitive, psychomotor, and social aspects of childhood. The book addresses issues with physical activity measurement and discuss wide-ranging aspects of physical activity interventions. With more emphasis than ever on physical activity, this book makes an important contribution to the scholars and practitioners working in the field of youth physical activity. This is the first single text on the state of current knowledge related to pediatric physical activity which offers a comprehensive guide to students and academics on these subjects The Routledge Handbook of Youth Physical Activity is key reading for all advanced students, researchers, practitioners, and policy-makers with an interest in physical activity, youth sport, public health matters, sport studies, or physical education.


Sensors for Gait, Posture, and Health Monitoring Volume 2

Sensors for Gait, Posture, and Health Monitoring Volume 2
Author: Thurmon Lockhart
Publisher: MDPI
Total Pages: 392
Release: 2020-06-17
Genre: Medical
ISBN: 3039363441

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In recent years, many technologies for gait and posture assessments have emerged. Wearable sensors, active and passive in-house monitors, and many combinations thereof all promise to provide accurate measures of physical activity, gait, and posture parameters. Motivated by market projections for wearable technologies and driven by recent technological innovations in wearable sensors (MEMs, electronic textiles, wireless communications, etc.), wearable health/performance research is growing rapidly and has the potential to transform future healthcare from disease treatment to disease prevention. The objective of this Special Issue is to address and disseminate the latest gait, posture, and activity monitoring systems as well as various mathematical models/methods that characterize mobility functions. This Special Issue focuses on wearable monitoring systems and physical sensors, and its mathematical models can be utilized in varied environments under varied conditions to monitor health and performance


New Advanced Wireless Technologies for Objective Monitoring of Motor Symptoms in Parkinson's Disease

New Advanced Wireless Technologies for Objective Monitoring of Motor Symptoms in Parkinson's Disease
Author: Antonio Suppa
Publisher: Frontiers Media SA
Total Pages: 122
Release: 2018-04-27
Genre:
ISBN: 288945486X

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Over the last decade, a growing number of researchers have used advanced wireless technologies including wearable sensors for objective evaluation of specific motor symptoms in patients with Parkinson's disease (PD). In the near future, sensing technologies will likely provide relevant advances in the clinical management of patients with PD, contributing to early diagnosis, disease progression monitoring and therapeutic approach. In this regard, this eBook hosts new original studies focused on the objective monitoring of motor symptoms and therapeutic perspectives of wireless technologies in patients with PD.


Advances in Human Factors in Wearable Technologies and Game Design

Advances in Human Factors in Wearable Technologies and Game Design
Author: Tareq Z. Ahram
Publisher: Springer
Total Pages: 449
Release: 2018-06-23
Genre: Technology & Engineering
ISBN: 3319946196

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This book focuses on the human aspects of wearable technologies and game design, which are often neglected. It shows how user centered practices can optimize wearable experience, thus improving user acceptance, satisfaction and engagement towards novel wearable gadgets. It describes both research and best practices in the applications of human factors and ergonomics to sensors, wearable technologies and game design innovations, as well as results obtained upon integration of the wearability principles identified by various researchers for aesthetics, affordance, comfort, contextual-awareness, customization, ease of use, ergonomy, intuitiveness, obtrusiveness, information overload, privacy, reliability, responsiveness, satisfaction, subtlety, user friendliness and wearability. The book is based on the AHFE 2018 Conference on Human Factors and Wearable Technologies and the AHFE 2018 Conference on Human Factors in Game Design and Virtual Environments , held on July 21–25, 2018 in Orlando, Florida, and addresses professionals, researchers, and students dealing with the human aspects of wearable, smart and/or interactive technologies and game design research.


Balance Dysfunction in Parkinson’s Disease

Balance Dysfunction in Parkinson’s Disease
Author: Martina Mancini
Publisher: Academic Press
Total Pages: 226
Release: 2019-09-14
Genre: Medical
ISBN: 0128138750

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Balance Dysfunction in Parkinson’s Disease: Basic Mechanisms to Clinical Management presents the most updated information on a variety of topics. Sections help clinicians evaluate the types of balance control issues, dynamic balance dysfunction during turning, and the effects of medication, deep brain stimulation, and rehabilitation intervention on balance control. This book is the first to review the four main postural control systems and how they are affected, including balance during quiet stance, reactive postural adjustments to external perturbations, anticipatory postural adjustments in preparation for voluntary movements, and dynamic balance control during walking and turning. In addition, the book's authors summarize the effects of levodopa, deep brain stimulation, and rehabilitation intervention for each balance domain. This book is recommended for anyone interested in how and why balance control is affected by PD. Provides the first comprehensive review of research to date on balance dysfunctions in Parkinson's disease Discusses how to translate current neuroscience research into practice regarding neural control of balance Provides evidence on the effects of current interventions on balance control