Article
Chemistry, Analytical
Anastasios G. G. Samarentsis, Georgios Makris, Sofia Spinthaki, Georgios Christodoulakis, Manolis Tsiknakis, Alexandros K. K. Pantazis
Summary: This study reports the development of a 3D-printed capacitive smart insole for the measurement of plantar pressure. The insole exhibits high sensitivity, wide working pressure range, and the ability to support different gait speeds.
Review
Materials Science, Multidisciplinary
Jun-Liang Chen, Yan-Ning Dai, Nicolas S. Grimaldi, Jing-Jing Lin, Bo-Yi Hu, Yin-Feng Wu, Shuo Gao
Summary: Insole-based plantar pressure monitoring systems have emerged as a leading technology for monitoring the progression of chronic diseases worldwide. This technology utilizes the strong correlation between gait and disease status. The review covers working principles, design considerations, algorithms, disease monitoring applications, and potential solutions to common challenges in the field.
ADVANCED MATERIALS TECHNOLOGIES
(2022)
Review
Chemistry, Analytical
Hari Prasanth, Miroslav Caban, Urs Keller, Gregoire Courtine, Auke Ijspeert, Heike Vallery, Joachim von Zitzewitz
Summary: Traditionally, gait analysis has been conducted in a laboratory setting using expensive equipment, but recently wearable sensors have made real-time gait analysis possible in clinical applications and daily living. Wearable sensors, such as inertial measurement units, have been widely used for gait analysis, with the most common techniques being rule-based methods relying on threshold or peak detection. Despite the potential for applications in pathological gait, the validation of proposed methods on such data remains limited.
Article
Engineering, Electrical & Electronic
Zewei Pan, Huigang Gao, Yan Chen, Zekun Xie, Longhan Xie
Summary: Using inertial measurement units (IMUs) and plantar pressure insole sensors for gait quantitative assessment allows for objective evaluation, reduced difficulty, and decreased reliance on doctors in rehabilitation plans. Experimental results show that the wearable device has good accuracy and data repeatability for gait assessment. The linear correlation between the extracted distance score and the Mini-BES test score is -0.94. Therefore, it is feasible to use wearable devices to evaluate lower limb rehabilitation through a walking test, potentially replacing the complex Mini-BES test.
IEEE SENSORS JOURNAL
(2023)
Article
Biotechnology & Applied Microbiology
Jesus De Miguel-Fernandez, Miguel Salazar-Del Rio, Marta Rey-Prieto, Cristina Bayon, Lluis Guirao-Cano, Josep M. Font-Llagunes, Joan Lobo-Prat
Summary: This study validated the feasibility of using shank-worn IMUs for clinical gait analysis after stroke and evaluated their preliminary applicability in designing an automatic and adaptive controller for a knee exoskeleton. The results showed that IMUs have the potential to be used in designing automatic and adaptive exoskeleton control strategies for stroke patients.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2023)
Review
Chemistry, Analytical
Sophini Subramaniam, Sumit Majumder, Abu Ilius Faisal, M. Jamal Deen
Summary: Wearable health monitoring devices can measure various physiological parameters to provide information about an individual's health and well-being. Insole-based sensor systems, such as those measuring PPD, can offer a comprehensive understanding of an individual's health without interrupting daily activities. This review discusses existing solutions and future considerations for fully integrated insole-based health monitoring systems.
Article
Chemistry, Analytical
Tommaso Fiumalbi, Elena Martini, Vito Papapicco, Filippo Dell'Agnello, Alessandro Mazzarini, Andrea Baldoni, Emanuele Gruppioni, Simona Crea, Nicola Vitiello
Summary: This study presents a commercial foot prosthesis equipped with a multimodal sensory system, which accurately detects heel strike and toe-off events by using optoelectronic pressure sensors and IMU sensors. The performance of the system was compared with force platforms and a motion capture system, showing good accuracy in measuring ground reaction force and center of pressure.
Article
Multidisciplinary Sciences
Yeongjun Lee, Jong Won Chung, Gae Hwang Lee, Hyunbum Kang, Joo-Young Kim, Chisung Bae, Hyunjun Yoo, Sujin Jeong, Hyeon Cho, Sung-Gyu Kang, Ji Young Jung, Don-Wook Lee, Sangah Gam, Suk Gyu Hahm, Yasutaka Kuzumoto, Sang Joon Kim, Zhenan Bao, Yongtaek Hong, Youngjun Yun, Sunghan Kim
Summary: Skin-like health care patches (SHPs) are next-generation health care gadgets that provide real-time information while alleviating privacy concerns, but producing high-resolution stretchable displays remains challenging.
Article
Biotechnology & Applied Microbiology
Francesca Salis, Stefano Bertuletti, Tecla Bonci, Marco Caruso, Kirsty Scott, Lisa Alcock, Ellen Buckley, Eran Gazit, Clint Hansen, Lars Schwickert, Kamiar Aminian, Clemens Becker, Philip Brown, Anne-Elie Carsin, Brian Caulfield, Lorenzo Chiari, Ilaria D'Ascanio, Silvia Del Din, Bjoern M. Eskofier, Judith Garcia-Aymerich, Jeffrey M. Hausdorff, Emily C. Hume, Cameron Kirk, Felix Kluge, Sarah Koch, Arne Kuederle, Walter Maetzler, Encarna M. Mico-Amigo, Arne Mueller, Isabel Neatrour, Anisoara Paraschiv-Ionescu, Luca Palmerini, Alison J. Yarnall, Lynn Rochester, Basil Sharrack, David Singleton, Beatrix Vereijken, Ioannis Vogiatzis, Ugo Della Croce, Claudia Mazza, Andrea Cereatti
Summary: This study presents a wearable multi-sensor system (INDIP) that accurately assesses people's gait in real-world conditions. The system performed well in different cohorts and gait patterns, and was easy to use. Therefore, it can be considered a valid and feasible solution for analyzing gait in real-world conditions.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Asier Brull Mesanza, Ilaria D'Ascanio, Asier Zubizarreta, Luca Palmerini, Lorenzo Chiari, Itziar Cabanes
Summary: Fall detection technology has rapidly advanced, with different methods able to differentiate between user falls and device falls, including vision systems, environmental detection systems, and wearable sensor systems. Additionally, sensors can also be applied to assistive walking devices in elderly or impaired individuals.
Article
Engineering, Electrical & Electronic
Junliang Chen, Yanning Dai, Shuaibo Kang, Lijun Xu, Shuo Gao
Summary: High force detection accuracy and extended battery lifetime are crucial in wearable gait monitoring systems for IoHT applications. This article presents a piezoelectric insole device and rectifying circuitry-based technique that can achieve these goals by separating positive and negative charges for stress detection and energy harvesting concurrently. Experimental results show high detection sensitivity and energy storage capabilities, enhancing gait monitoring development in IoHT.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Biomedical
Jesse M. Charlton, Haisheng Xia, Peter B. Shull, Janice J. Eng, Linda C. Li, Michael A. Hunt
Summary: This study provides the first characterization of foot progression angles during real-world walking in people with and without symptomatic knee osteoarthritis. These results indicate that foot progression angles can be feasibly and reliably measured in unsupervised real-world walking conditions.
CLINICAL BIOMECHANICS
(2023)
Article
Multidisciplinary Sciences
Ramon Boekesteijn, Jose Smolders, Vincent Busch, Noel Keijsers, Alexander Geurts, Katrijn Smulders
Summary: Inertial sensors show promise in objectively measuring gait recovery after total knee and hip arthroplasty, and compared to patient-reported outcome measures (PROMs). Gait parameters recover to healthy levels after both surgeries, with differences in recovery trajectories between gait parameters and PROMs at two months post-operatively. This highlights the complementary information provided by sensor-derived gait parameters for evaluating physical function.
Article
Chemistry, Analytical
Scott Pardoel, Gaurav Shalin, Julie Nantel, Edward D. Lemaire, Jonathan Kofman
Summary: The research developed a model using multiple sensors to predict freezing of gait, with the best overall model achieving 76.4% sensitivity and 86.2% specificity. It can detect onset of FOG within 1 second, improving mobility and independence for Parkinson's disease patients in an intelligent real-time system.
Article
Engineering, Biomedical
Zhuo Chen, Huanghe Zhang, Antonia Zaferiou, Damiano Zanotto, Yi Guo
Summary: This paper proposes a mobile robot-assisted gait monitoring system that can estimate dynamic stability and spatiotemporal gait parameters in real time. Experimental results show that the proposed method achieves acceptable accuracy for the estimation of Margin of Stability (MoS) and high accuracy for spatiotemporal gait parameters. Compared to existing MoS assessment methods, this system provides real-time assessment of fall risk during walking in out-of-lab conditions.
IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS
(2022)
Article
Engineering, Electrical & Electronic
Matjaz Mihelj, Janez Podobnik, Marko Munih
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2019)
Article
Computer Science, Interdisciplinary Applications
Andraz Rihar, Matjaz Mihelj, Jure Pasic, Giuseppina Sgandurra, Francesca Cecchi, Giovanni Cioni, Paolo Dario, Marko Munih
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
(2019)
Article
Chemistry, Analytical
Eva Repnik, Urska Puh, Nika Goljar, Marko Munih, Matjaz Mihelj
Article
Engineering, Electrical & Electronic
Peter Krapez, Marko Munih
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2020)
Article
Chemistry, Analytical
Peter Krapez, Matjaz Vidmar, Marko Munih
Summary: This study introduces a neural network method for correcting orientation-induced errors in distance measurement with UWB modules, without the need for additional parameters. The experimental results demonstrate that this method improves distance measurement accuracy, while also maintaining the minimum packet size for the ranging protocol without requiring additional information.
Article
Chemistry, Multidisciplinary
Ales Zore, Robert Cerin, Marko Munih
Summary: The study found that the degree of robot manipulation affects the scattering of measurement data, particularly in length measurements. Different measuring methods directly impact the values of C-p, R, and 6 sigma.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Artificial Intelligence
Aljaz Baumkircher, Marko Munih, Matjaz Mihelj
Summary: This study compares different Learning from Demonstration approaches in fine movement generation, finding that the Cooperative Robot Tool method outperforms others; additionally, the visual enhancement and spatial scaling features significantly impact the performance of all approaches.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
(2021)
Proceedings Paper
Computer Science, Information Systems
Aljaz Baumkircher, Marko Munih, Matjaz Mihelj
Summary: A programming by demonstration teaching agent is proposed in this study, which utilizes visual enhancement feature and optimization of Gaussian mixture models (GMM) components positioning to achieve accurate detection and learning of sub-millimetre movements.
ADVANCES IN SERVICE AND INDUSTRIAL ROBOTICS, RAAD 2022
(2022)
Article
Engineering, Biomedical
V Papapicco, B. Chen, M. Munih, A. Davalli, R. Sacchetti, E. Gruppioni, S. Crea, N. Vitiello
Summary: The study introduces an intention detection method based on an inertial measurement unit and online phase estimator to accurately classify different locomotion modes. By utilizing a two-stage classification process to identify gait patterns, it achieves high accuracy in predicting the user's gait intention.
IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS
(2021)
Article
Chemistry, Analytical
Janez Podobnik, David Kraljic, Matjaz Zadravec, Marko Munih
Proceedings Paper
Computer Science, Artificial Intelligence
Jozica Piskur, Sebastjan Slajpah, Bojan Nemec, Matjaz Mihelj, Marko Munih
ADVANCES IN SERVICE AND INDUSTRIAL ROBOTICS
(2020)
Proceedings Paper
Automation & Control Systems
Aljaz Kramberger, Adam Wolniakowski, Mads Hoj Rasmussen, Marko Munih, Ales Ude, Christian Schlette
2019 IEEE 15TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE)
(2019)
Article
Engineering, Electrical & Electronic
Blaz Jakopin, Marko Munih
ELEKTROTEHNISKI VESTNIK
(2017)
Proceedings Paper
Computer Science, Artificial Intelligence
Sebastjan Slajpah, Roman Kamnik, Marko Munih
WEARABLE ROBOTICS: CHALLENGES AND TRENDS
(2017)