Download or read book Wearable Systems Based Gait Monitoring and Analysis written by Shuo Gao and published by Springer Nature. This book was released on 2022-03-16 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wearable Systems Based Gait Monitoring and Analysis provides a thorough overview of wearable gait monitoring techniques and their use in health analysis. The text starts with an examination of the relationship between the human body’s physical condition and gait, and then introduces and explains nine mainstream sensing mechanisms, including piezoresistive, resistive, capacitive, piezoelectric, inductive, optical, air pressure, EMG and IMU-based architectures. Gait sensor design considerations in terms of geometry and deployment are also introduced. Diverse processing algorithms for manipulating sensors outputs to transform raw data to understandable gait features are discussed. Furthermore, gait analysis-based health monitoring demonstrations are given at the end of this book, including both medical and occupational applications. The book will enable students of biomedical engineering, electrical engineering, signal processing, and ergonomics and practitioners to understand the medical and occupational applications of engineering-based gait analysis and falling injury prevention methods.

Download or read book Human Gait Monitoring Using Wearable Fabric based Strain Sensors and Deep Supervised Learning written by Mohsen Gholami and published by . This book was released on 2019 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continuous lower body monitoring is an important step for real-time feedback training of runners and in-home rehabilitation assessment. Optical motion capture systems are the gold standards for gait analysis, but they are spatially limited to laboratories. Recently, wearable sensors have gained attention as unobtrusive methods to analyze gait metrics and health conditions. In this study, a wearable system capable of estimating lower body joint angles in sagittal, frontal, and transverse planes during gait was developed. A prototype with fiber strain sensors was fabricated. The positions of the sensors on the pelvis were optimized using a genetic algorithm. A cohort of ten people completed 15 minutes of running at 5 different speeds for gait analysis by our prototype device. The joint angles were estimated by a deep convolutional neural network in inter- and intra-participant scenarios. In intra-participant tests, root mean squared error (RMSE) and normalized root mean squared error (NRMSE) of less than 2.2° and 5.3 %, respectively, were obtained for hip, knee, and ankle joints in sagittal, frontal, and transverse planes. The RMSE and NRMSE in inter-participant tests were less than 6.4° and 10%, respectively, in the sagittal plane. The accuracy of this device and methodology could yield potential applications as a soft wearable device for gait monitoring.

Download or read book Development and Validation of an Insole Based Wearable System for Gait and Activity Monitoring written by Nagaraj Hegde and published by . This book was released on 2017 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Footwear based wearable sensors are used in applications such as activity monitoring, gait analysis, post-stroke rehabilitation, body weight measurements, and energy expenditure estimation. Such wearable sensors typically required the modification or alteration of the shoe, which is not typically feasible for large populations without the direct involvement of shoe manufacturers. This dissertation presents an insole-based wearable sensor (SmartStep) that has its electronics fully embedded into a generic insole, which can be used with a large variety of shoes and, thus, resolves the need for shoe modification. The SmartStep is an always-on electronic device that comprises of inertial sensors and resistive pressure sensors implemented around a system on chip with Bluetooth low energy (BLE) connectivity. The dissertation explains a novel Android application methodology to interface multiple BLE sensors. As a part of the research, SmartStep's predecessor, SmartShoe, was tested in an application scenario of gait monitoring of children with cerebral palsy. Novel signal processing algorithms were developed to deal with the effect of orthotics on pressure sensors. Machine learning models were used to recognize 3 major activities (sitting, standing and walking) with greater than 95% accuracy. The gait parameter estimation resulted in average error less than 6% across a range of temporal gait parameters. The SmartStep device was utilized in a study for recognizing activities of daily living (ADL) in adults. An upper-body, wrist-worn sensor was also utilized in the same study to compare the effectiveness of upper and lower body-worn sensors in recognizing ADL. The indirect calorimetry data from a portable metabolic system (Cosmed K4b), collected in the same study, were used to develop energy expenditure (EE) estimation models. Two different sets of steady state activity branched models were developed, along with models for transition activities. The EE models were validated on the data from a room calorimeter. SmartStep was 90% accurate in recognizing a broad set of nine ADLs, including household activities; while having 6% validation error in estimating total energy expenditure. These results suggest that SmartStep is accurate in recognizing multiple activities of daily living and in energy expenditure estimation.

Download or read book Wearable Monitoring Systems written by Annalisa Bonfiglio and published by Springer Science & Business Media. This book was released on 2010-12-17 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: As diverse as tomorrow’s society constituent groups may be, they will share the common requirements that their life should become safer and healthier, offering higher levels of effectiveness, communication and personal freedom. The key common part to all potential solutions fulfilling these requirements is wearable embedded systems, with longer periods of autonomy, offering wider functionality, more communication possibilities and increased computational power. As electronic and information systems on the human body, their role is to collect relevant physiological information, and to interface between humans and local and/or global information systems. Within this context, there is an increasing need for applications in diverse fields, from health to rescue to sport and even remote activities in space, to have real-time access to vital signs and other behavioral parameters for personalized healthcare, rescue operation planning, etc. This book’s coverage will span all scientific and technological areas that define wearable monitoring systems, including sensors, signal processing, energy, system integration, communications, and user interfaces. Six case studies will be used to illustrate the principles and practices introduced.

Download or read book Clinical Gait Analysis written by Christopher Kirtley and published by Elsevier Health Sciences. This book was released on 2006-01-01 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a detailed clinical introduction to the application of biomechanics to the understanding and treatment of walking disorders. Practical issues in the performance of a three-dimensional clinical gait analysis are covered, together with several clinical cases illustrating the interpretation of findings. These cases also demonstrate the use of a variety of treatment methodologies, including physical therapy, walking aids, prosthetics and orthotics, botulinum toxin and surgery.

Download or read book Mobile and Wearable Systems for Health Monitoring written by Mohamed Elgendi and published by Frontiers Media SA. This book was released on 2023-05-15 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Wearable Sensors written by Edward Sazonov and published by Elsevier. This book was released on 2014-08-14 with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by industry experts, this book aims to provide you with an understanding of how to design and work with wearable sensors. Together these insights provide the first single source of information on wearable sensors that would be a valuable addition to the library of any engineer interested in this field.Wearable Sensors covers a wide variety of topics associated with the development and application of various wearable sensors. It also provides an overview and coherent summary of many aspects of current wearable sensor technology.Both industry professionals and academic researchers will benefit from this comprehensive reference which contains the most up-to-date information on the advancement of lightweight hardware, energy harvesting, signal processing, and wireless communications and networks. Practical problems with smart fabrics, biomonitoring and health informatics are all addressed, plus end user centric design, ethical and safety issues. - Provides the first comprehensive resource of all currently used wearable devices in an accessible and structured manner - Helps engineers manufacture wearable devices with information on current technologies, with a focus on end user needs and recycling requirements - Combines the expertise of professionals and academics in one practical and applied source

Download or read book Wearable Electronics and Embedded Computing Systems for Biomedical Applications written by Enzo Pasquale Scilingo and published by MDPI. This book was released on 2018-04-03 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Wearable Electronics and Embedded Computing Systems for Biomedical Applications" that was published in Electronics

Download or read book Abnormal Gait Detection Using Wearable Hall effect Sensors written by Courtney Chan Chheng and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abnormalities and irregularities in walking (gait) are predictors and indicators of bothdisease and injury. Gait has traditionally been monitored and analyzed in clinical settings using complex video (camera-based) systems, pressure mats, or a combination thereof. Wearable gait sensors offer the opportunity to collect data in natural settings and to complement data collected in clinical settings, thereby offering the potential to improve quality of care and diagnosis for those whose gait varies from healthy patterns of movement. This paper presents a gait monitoring system designed to be worn on the inner knee or upper thigh. It consists of low-power Hall-effect sensors positioned on one leg and a compact magnet positioned on the opposite leg. Wireless data collected from the sensor system were used to analyze stride width, stride width variability, cadence, and cadence variability for four different individuals engaged in normal gait, two types of abnormal gait, and two types of irregular gait. Using leg gap variability as a proxy for stride width variability, 81% of abnormal or irregular strides were accurately identified as different from normal stride. Cadence was surprisingly 100% accurate in identifying strides which strayed from normal, but variability in cadence provided no useful information. This highly sensitive, non-contact Hall-effect sensing method for gait monitoring offers the possibility for detecting visually imperceptible gait variability in natural settings. These nuanced changes in gait are valuable for predicting early stages of disease and also for indicating progress in recovering from injury.

Download or read book Wearable Ehealth Systems for Personalised Health Management written by Andreas Lymberis and published by IOS Press. This book was released on 2004 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book consists of papers describing developments and trends all over the world in the areas of smart wearable monitoring and diagnostic systems, smart treatment systems, biomedical clothing and smart fibres and fabrics.

Download or read book Wearable Computing written by Giancarlo Fortino and published by John Wiley & Sons. This book was released on 2018-04-06 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the most up-to-date research and development on wearable computing, wireless body sensor networks, wearable systems integrated with mobile computing, wireless networking and cloud computing This book has a specific focus on advanced methods for programming Body Sensor Networks (BSNs) based on the reference SPINE project. It features an on-line website (http://spine.deis.unical.it) to support readers in developing their own BSN application/systems and covers new emerging topics on BSNs such as collaborative BSNs, BSN design methods, autonomic BSNs, integration of BSNs and pervasive environments, and integration of BSNs with cloud computing. The book provides a description of real BSN prototypes with the possibility to see on-line demos and download the software to test them on specific sensor platforms and includes case studies for more practical applications. • Provides a future roadmap by learning advanced technology and open research issues • Gathers the background knowledge to tackle key problems, for which solutions will enhance the evolution of next-generation wearable systems • References the SPINE web site (http://spine.deis.unical.it) that accompanies the text • Includes SPINE case studies and span topics like human activity recognition, rehabilitation of elbow/knee, handshake detection, emotion recognition systems Wearable Systems and Body Sensor Networks: from modeling to implementation is a great reference for systems architects, practitioners, and product developers. Giancarlo Fortino is currently an Associate Professor of Computer Engineering (since 2006) at the Department of Electronics, Informatics and Systems (DEIS) of the University of Calabria (Unical), Rende (CS), Italy. He was recently nominated Guest Professor in Computer Engineering of Wuhan University of Technology on April, 18 2012 (the term of appointment is three years). His research interests include distributed computing and networks, wireless sensor networks, wireless body sensor networks, agent systems, agent oriented software engineering, streaming content distribution networks, distributed multimedia systems, GRID computing. Raffaele Gravina received the B.Sc. and M.S. degrees both in computer engineering from the University of Calabria, Rende, Italy, in 2004 and 2007, respectively. Here he also received the Ph.D. degree in computer engineering. He's now a Postdoctoral research fellow at University of Calabria. His research interests are focused on high-level programming methods for WSNs, specifically Wireless Body Sensor Networks. He wrote almost 30 scientific/technical articles in the area of the proposed Book. He is co-founder of SenSysCal S.r.l., a spin-off company of the University of Calabria, and CTO of the wearable computing area of the company. Stefano Galzarano received the B.S. and M.S. degrees both in computer engineering from the University of Calabria, Rende, Italy, in 2006 and 2009, respectively. He is currently pursuing a joint Ph.D. degree in computer engineering with University of Calabria and Technical University of Eindhoven (The Netherlands). His research interests are focused on high-level programming methods for wireless sensor networks and, specifically, novel methods and frameworks for autonomic wireless body sensor networks.

Download or read book Remote Gait Monitoring Mobile System Enabled by Wearable Sensor Technology written by Huiyi Cao and published by . This book was released on 2020 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote gait monitoring system plays an important role in improving the process of gait rehabilitation while patients are not supervised by the physical therapists outside of the clinics. It can benefit patients, providers, and payers with low cost, high accuracy, real-time accessibility, detailed exercise reports, preventive treatment, and data privacy. The patients can use the system to record all the exercise during the recovery process while the providers can access the patients' recovery process with more convenience remotely. The remote gait monitoring system can also improve providers like insurance companies to create a more customized health plan and establish quantitative regulation. In this study, three gait parameters are discussed, including stride length, stride frequency, and stride velocity. A classification model was used to detect stationary epoch and non-stationary epoch to extract each stride sample. The accuracy of the classification model achieves 99.3%, which shows high reliability for detecting motion change points. Then, a mobile application on stride length estimation was developed with an OpenMP-based distributed deep learning optimized system (DDOS). The DDOS system used a convolutional neural network (CNN) to estimate the stride length of each stride sample. The system has the advantages of incremental learning, time flexibility, and customization, which can be used for multiple users at any place during the same time. The experiment results show a high accuracy with stride length estimation. OpenMP was used to accelerate operation time since the training process of CNN is time-consuming.

Download or read book Machine Learning and Statistical Approaches to Analysis of Wearable Sensory Gait Data written by Mingjing Yang and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis alms to investigate how machine learning and statistical approaches can be employed to support the analysis of gait patterns captured by wearable sensors data. The thesis has proposed a machine learning and statistical approaches based framework (MSGAF) for wearable sensory gait data analysis. It has been applied to two clinical applications: discrimination of disturbed gait affected by neurodegenerative diseases and identification of patients with complex region pain syndrome (CRPS). The results demonstrate that: 1) It is feasible to discriminate gait patterns related three neurodegenerative diseases based on wearable sensory gait analysis. 2) It is feasible to assess the physical performance of patients with CRPS based on the analysis of accelerometry gait data. 3) Accelerometry gait data collected in a short distance can provide a large amount of information for gait monitoring in a home based environment. Two new feature selection algorithms have been proposed to find out the optimal feature set for a given condition related to gait disorder. A combination of gait features were proposed to analyse accelerometer based gait data. A device independent tool (i.e. iGAIT) has been developed to display and analyse gait acceleration data. It provides interactive functionality allowing users to manually adjust the analysis progress. A smartphone with an embedded accelerometer has been proposed to be a novel gait measurement technique. The utility and reliability of using a smartphone in gait pattern monitoring was studied. The impact of sampling frequency on the gait features extracted from accelerometer data was systematically investigated. The concept of contextual gait analysis was also proposed, which takes account of the impact of walking contexture and makes it possible to monitor gait pattern in a real life environment for a long term. Two data sets collected by an accelerometer were used, climbing stairs data and urban walking data.

Download or read book CMBEBIH 2017 written by Almir Badnjevic and published by Springer. This book was released on 2017-03-14 with total page 806 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the International Conference on Medical and Biological Engineering held from 16 to 18 March 2017 in Sarajevo, Bosnia and Herzegovina. Focusing on the theme of ‘Pursuing innovation. Shaping the future’, it highlights the latest advancements in Biomedical Engineering and also presents the latest findings, innovative solutions and emerging challenges in this field. Topics include: - Biomedical Signal Processing - Biomedical Imaging and Image Processing - Biosensors and Bioinstrumentation - Bio-Micro/Nano Technologies - Biomaterials - Biomechanics, Robotics and Minimally Invasive Surgery - Cardiovascular, Respiratory and Endocrine Systems Engineering - Neural and Rehabilitation Engineering - Molecular, Cellular and Tissue Engineering - Bioinformatics and Computational Biology - Clinical Engineering and Health Technology Assessment - Health Informatics, E-Health and Telemedicine - Biomedical Engineering Education - Pharmaceutical Engineering

Download or read book Intelligent Technologies for Bridging the Grey Digital Divide written by Soar, Jeffrey and published by IGI Global. This book was released on 2010-09-30 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Technologies for Bridging the Grey Digital Divide offers high-quality research with both industry- and practice-related articles in the broad area of intelligent technologies for seniors. The main focus of the book is to provide insights into current innovation, issues to be resolved, and approaches for widespread adoption so that seniors, their families, and their caregivers are able to enjoy their promised benefits.

Download or read book Proceedings of the International Conference on Ubiquitous Computing Ambient Intelligence UCAmI 2022 written by José Bravo and published by Springer Nature. This book was released on 2022-11-20 with total page 1140 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports a set of novel research initiatives on ambient intelligence and ubiquitous computing that help researchers and practitioners identify recent advances, as well as the frontiers in these study domains. During the last two decades, both study areas have gained great interest in industry and academia due to the benefits of using smart solutions in various application domains, such as health care, ambient-assisted living, personal security and privacy, citizen participation, provision of urban services, and precision agriculture and farming. The articles included in this book report solutions and provide empirical results on their suitability to address problems and opportunities in these application domains. The articles also include discussions on how the proposals and their evaluation results inform the design of the next generation of ubiquitous and smart systems. Researchers, practitioners, and graduate students take advantage of this knowledge to address innovation and engineering aspects of smart and ubiquitous solutions for the next decade.

Download or read book Wearable and Wireless Systems for Healthcare I written by Robert Charles LeMoyne and published by Springer Nature. This book was released on 2024 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the second edition of the one originally published in 2017. The original publication features the discovery of numerous novel applications for the use of smartphones and portable media devices for the quantification of gait, reflex response, and an assortment of other concepts that constitute first-in-the-world applications for these devices. Since the first edition, numerous evolutions involving the domain of wearable and wireless systems for healthcare have transpired warranting the publication of the second edition. This volume covers wearable and wireless systems for healthcare that are far more oriented to the unique requirements of the biomedical domain. The paradigm-shifting new wearables have been successfully applied to gait analysis, homebound therapy, and quantifiable exercise. Additionally, the confluence of wearable and wireless systems for healthcare with deep learning and neuromorphic applications for classification is addressed. The authors expect that these significant developments make this book valuable for all readers.