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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.


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.


Accuracy, Repeatability and Sensitivity of IMU Based Motion Capture Systems

Accuracy, Repeatability and Sensitivity of IMU Based Motion Capture Systems
Author: Gaurav Jagdish Ghorpade
Publisher:
Total Pages: 94
Release: 2017
Genre:
ISBN:

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This study aims to evaluate an inertial measurement unit (IMU)-based motion capture system for lower body gait analysis on treadmills in terms of its accuracy, repeatability and sensitivity. The Xsens MVN BIOMECH is a popular inertial sensor-based motion capture system widely used by the gait community. However, there is insufficient information regarding its validation for use in gait. Accuracy of pelvic and lower body segments was evaluated with respect to a PhaseSpace Motion Capture System with a thirteen-camera setup. RMS errors for joint angles were evaluated at gait speeds of 1 m/s and 0.5 m/s. Repeatability was evaluated using the Coefficient of Multiple Correlation (CMC) on two different days. Sensitivity of the IMU-based motion capture (mo-cap) system was analyzed based on its ability to distinguish between gait for 1 m/s (symmetric) and 0.95 m/s, 0.9 m/s, 0.85 m/s and 0.8 m/s (asymmetric) conditions. Data from 10 healthy, young individuals were collected and analyzed. We found that the IMU-based system demonstrates reasonably high accuracy when measuring joint angles (0.47 to 3.9 degrees). Accuracy was affected by speed with higher accuracy at lower speeds, especially for Ankle dorsi/plantarflexion. Repeatability was established, with high CMC values (0.76 to 0.98), lower than similar previous studies. Gait cycles were treated as coherent entities and the ability to distinguish between small changes (0.05 m/s) was demonstrated. Sensitivity of gait cycles were compared using High Dimensional Analysis of Variance and the Adaptive Neyman test both for groups and individuals. Smaller differences can be detected at the individual level since gait can vary considerably across individuals. A representative case demonstrated significant differences (p


Mixed Design of Integrated Circuits and Systems

Mixed Design of Integrated Circuits and Systems
Author: Andrzej Napieralski
Publisher: Springer Science & Business Media
Total Pages: 236
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 1461556511

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Very fast advances in IC technologies have brought new challenges into the physical design of integrated systems. The emphasis on system performance, in lately developed applications, requires timing and power constraints to be considered at each stage of physical design. The size of ICs is decreasing continuously, and the density of power dissipated in the circuits is growing rapidly. The first challenge is the Information Technology where new materials, devices, telecommunication and multimedia facilities are developed. The second one is the Biomedical Science and Biotechnology. The utilisation of bloodless surgery is possible now because of wide micro-sensors and micro-actuators application. Nowadays, the modern micro systems can be implanted directly into the human body and the medicine can be applied right in the proper time and place in the patient body. The low-power devices are being developed particularly for medical and space applications. This has created for designers in all scientific domains new possibilities which must be handed down to the future generations of designers. In this spirit, we organised the Fourth International Workshop "MIXED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS" in order to provide an international forum for discussion and the exchange of information on education, teaching experiences, training and technology transfer in the area of microelectronics and microsystems.


Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health

Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health
Author: Vincent G. Duffy
Publisher: Springer Nature
Total Pages: 656
Release: 2020-07-10
Genre: Computers
ISBN: 3030499049

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This two-volume set LNCS 12198 and 12199 constitutes the thoroughly refereed proceedings of the 11th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2020, which was supposed to be held as part of the 22st HCI International Conference, HCII 2020, in Copenhagen, Denmark, in July 2020. The conference was held virtually due to the COVID-19 pandemic. A total of 1439 papers and 238 posters have been carefully reviewed and accepted for publication in HCII 2020. DHM 2020 includes a total of 77 papers; they were organized in topical sections named: Part I, Posture, Motion and Health: Posture and motion modelling in design; ergonomics and occupational health; applications for exercising, physical therapy and rehabilitation; health services; DHM for aging support. Part II, Human Communication, Organization and Work: Modelling human communication; modelling work, collaboration and the human environment; addressing ethical and societal challenges; new research issues and approaches in digital human modelling.


Wireless MEMS Networks and Applications

Wireless MEMS Networks and Applications
Author: Deepak Uttamchandani
Publisher: Elsevier
Total Pages: 290
Release: 2016-08-30
Genre: Technology & Engineering
ISBN: 0081004508

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Wireless MEMS Networks and Applications reviews key emerging applications of MEMS in wireless and mobile networks. This book covers the different types of wireless MEMS devices, also exploring MEMS in smartphones, tablets, and the MEMS used for energy harvesting. The book reviews the range of applications of wireless MEMS networks in manufacturing, infrastructure monitoring, environmental monitoring, space applications, agricultural monitoring for food safety, health applications, and systems for smart cities. Focuses on the use of MEMS in the emerging area of wireless applications Contains comprehensive coverage of the range of applications of MEMS for wireless networks Presents an international range of expert contributors who identify key research in the field


Neumann’s Kinesiology of the Musculoskeletal System - E-Book

Neumann’s Kinesiology of the Musculoskeletal System - E-Book
Author: Donald A. Neumann
Publisher: Elsevier Health Sciences
Total Pages: 817
Release: 2024-02-14
Genre: Medical
ISBN: 0323831478

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With a focus on the normal and abnormal mechanical interactions between the muscles and joints of the body, Neumann’s Kinesiology of the Musculoskeletal System, 4th Edition provides a foundation for the practice of physical rehabilitation. This comprehensive, research-based core text explores kinesiology as it relates to physical rehabilitation in a clinically relevant and accessible manner. It presents the language of human movement — and acts as a bridge between basic science and clinical management. It helps clinicians effectively address the mechanical-based changes in movement across a person’s lifespan, whether in the context of rehabilitation, recreation, or promotion of health and wellness. Full-color anatomic and kinesiologic illustrations clearly demonstrate the anatomy, functional movement, and biomechanical principles underlying movement and posture. An eBook version, included with print purchase, provides access to all the text, figures, and references, with the ability to search, customize content, make notes and highlights, and have content read aloud. The eBook included with print purchase also features multiple excellent videos of anatomic and kinesiologic principles, answers to study questions from the print book, and additional tables and figures. Evidence-based approach emphasizes the importance of research in PT decision-making. More than 900 high-quality illustrations provide visual accompaniments to clarify the material. Clinical Connections boxes at the end of each chapter highlight or expand upon a particular clinical concept associated with the kinesiology covered in the chapter. Special Focus boxes throughout the text provide numerous clinical examples to demonstrate why kinesiologic information is needed. Critical thinking questions for selected chapters reinforce the main concepts. UPDATED! Current, evidence-based content closes the gap in kinesiology and anatomy science with clinical practice. NEW! Additional Special Focus boxes and Clinical Connections boxes present kinesiology in a clinical context. UPDATED! Modified artwork and new figures visually reinforce key concepts. NEW! An eBook version, included with print purchase, provides access to all the text, figures, and references, with the ability to search, customize content, make notes and highlights, and have content read aloud. It also features videos, answers to study questions from the print book, and additional tables and figures.


Data Analytics and Applications of the Wearable Sensors in Healthcare

Data Analytics and Applications of the Wearable Sensors in Healthcare
Author: Shabbir Syed-Abdul
Publisher: MDPI
Total Pages: 498
Release: 2020-06-17
Genre: Medical
ISBN: 3039363506

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This book provides a collection of comprehensive research articles on data analytics and applications of wearable devices in healthcare. This Special Issue presents 28 research studies from 137 authors representing 37 institutions from 19 countries. To facilitate the understanding of the research articles, we have organized the book to show various aspects covered in this field, such as eHealth, technology-integrated research, prediction models, rehabilitation studies, prototype systems, community health studies, ergonomics design systems, technology acceptance model evaluation studies, telemonitoring systems, warning systems, application of sensors in sports studies, clinical systems, feasibility studies, geographical location based systems, tracking systems, observational studies, risk assessment studies, human activity recognition systems, impact measurement systems, and a systematic review. We would like to take this opportunity to invite high quality research articles for our next Special Issue entitled “Digital Health and Smart Sensors for Better Management of Cancer and Chronic Diseases” as a part of Sensors journal.


Therapeutic Programs for Musculoskeletal Disorders

Therapeutic Programs for Musculoskeletal Disorders
Author: James Wyss
Publisher: Demos Medical Publishing
Total Pages: 552
Release: 2012-12-17
Genre: Medical
ISBN: 1936287404

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This is a guide for musculoskeletal medicine trainees and physicians to the art and science of writing prescriptions and developing individualized treatment plans. It offers a comprehensive approach to the conservative treatment of musculoskeletal disorders.


Human Motion Analysis with Wearable Inertial Sensors

Human Motion Analysis with Wearable Inertial Sensors
Author: Chen, Xi (Researcher on human mechanics)
Publisher:
Total Pages: 169
Release: 2013
Genre: Human locomotion
ISBN:

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High-resolution, quantitative data obtained by a human motion capture system can be used to better understand the cause of many diseases for effective treatments. Talking about the daily care of the aging population, two issues are critical. One is to continuously track motions and position of aging people when they are at home, inside a building or in the unknown environment; the other is to monitor their health status in real time when they are in the free-living environment. Continuous monitoring of human movement in their natural living environment potentially provide more valuable feedback than these in laboratory settings. However, it has been extremely challenging to go beyond laboratory and obtain accurate measurements of human physical activity in free-living environments. Commercial motion capture systems produce excellent in-studio capture and reconstructions, but offer no comparable solution for acquisition in everyday environments. Therefore in this dissertation, a wearable human motion analysis system is developed for continuously tracking human motions, monitoring health status, positioning human location and recording the itinerary. In this dissertation, two systems are developed for seeking aforementioned two goals: tracking human body motions and positioning a human. Firstly, an inertial-based human body motion tracking system with our developed inertial measurement unit (IMU) is introduced. By arbitrarily attaching a wearable IMU to each segment, segment motions can be measured and translated into inertial data by IMUs. A human model can be reconstructed in real time based on the inertial data by applying high efficient twists and exponential maps techniques. Secondly, for validating the feasibility of developed tracking system in the practical application, model-based quantification approaches for resting tremor and lower extremity bradykinesia in Parkinson's disease are proposed. By estimating all involved joint angles in PD symptoms based on reconstructed human model, angle characteristics with corresponding medical ratings are employed for training a HMM classifier for quantification. Besides, a pedestrian positioning system is developed for tracking user's itinerary and positioning in the global frame. Corresponding tests have been carried out to assess the performance of each system.