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Rukmini PG, Hegde RB, Basavarajappa BK, Bhat AK, Pujari AN, Gargiulo GD, Gunawardana U, Jan T, Naik GR. Recent Innovations in Footwear and the Role of Smart Footwear in Healthcare-A Survey. SENSORS (BASEL, SWITZERLAND) 2024; 24:4301. [PMID: 39001080 PMCID: PMC11243832 DOI: 10.3390/s24134301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Revised: 06/16/2024] [Accepted: 06/27/2024] [Indexed: 07/16/2024]
Abstract
Smart shoes have ushered in a new era of personalised health monitoring and assistive technologies. Smart shoes leverage technologies such as Bluetooth for data collection and wireless transmission, and incorporate features such as GPS tracking, obstacle detection, and fitness tracking. As the 2010s unfolded, the smart shoe landscape diversified and advanced rapidly, driven by sensor technology enhancements and smartphones' ubiquity. Shoes have begun incorporating accelerometers, gyroscopes, and pressure sensors, significantly improving the accuracy of data collection and enabling functionalities such as gait analysis. The healthcare sector has recognised the potential of smart shoes, leading to innovations such as shoes designed to monitor diabetic foot ulcers, track rehabilitation progress, and detect falls among older people, thus expanding their application beyond fitness into medical monitoring. This article provides an overview of the current state of smart shoe technology, highlighting the integration of advanced sensors for health monitoring, energy harvesting, assistive features for the visually impaired, and deep learning for data analysis. This study discusses the potential of smart footwear in medical applications, particularly for patients with diabetes, and the ongoing research in this field. Current footwear challenges are also discussed, including complex construction, poor fit, comfort, and high cost.
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Affiliation(s)
- Pradyumna G. Rukmini
- Department of Electronics & Communication Engineering, NMAM Institute Technology, NITTE (Deemed to be University), Nitte 574110, India; (P.G.R.); (R.B.H.); (B.K.B.); (A.K.B.)
| | - Roopa B. Hegde
- Department of Electronics & Communication Engineering, NMAM Institute Technology, NITTE (Deemed to be University), Nitte 574110, India; (P.G.R.); (R.B.H.); (B.K.B.); (A.K.B.)
| | - Bommegowda K. Basavarajappa
- Department of Electronics & Communication Engineering, NMAM Institute Technology, NITTE (Deemed to be University), Nitte 574110, India; (P.G.R.); (R.B.H.); (B.K.B.); (A.K.B.)
| | - Anil Kumar Bhat
- Department of Electronics & Communication Engineering, NMAM Institute Technology, NITTE (Deemed to be University), Nitte 574110, India; (P.G.R.); (R.B.H.); (B.K.B.); (A.K.B.)
| | - Amit N. Pujari
- School of Physics, Engineering and Computer Science, University of Hertfordshire, Hertfordshire AL10 9AB, UK;
- School of Engineering, University of Aberdeen, Aberdeen AB24 3FX, UK
| | - Gaetano D. Gargiulo
- School of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW 2751, Australia; (G.D.G.); (U.G.)
- The MARCS Institute for Brain, Behaviour, and Development, Western Sydney University, Penrith, NSW 2751, Australia
- Translational Health Research Institute, Western Sydney University, Penrith, NSW 2751, Australia
- The Ingham Institute for Applied Medical Research, Liverpool, NSW 2170, Australia
| | - Upul Gunawardana
- School of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW 2751, Australia; (G.D.G.); (U.G.)
| | - Tony Jan
- Centre for Artificial Intelligence Research and Optimization (AIRO), Design and Creative Technology Vertical, Torrens University, Ultimo, NSW 2007, Australia;
| | - Ganesh R. Naik
- Centre for Artificial Intelligence Research and Optimization (AIRO), Design and Creative Technology Vertical, Torrens University, Ultimo, NSW 2007, Australia;
- College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia
- Design and Creative Technology Vertical, Torrens University, Wakefield Street, Adelaide, SA 5000, Australia
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Tahmasbi A, Shadmehr A, Attarbashi Moghadam B, Fereydounnia S. Does Kinesio taping of tibialis posterior or peroneus longus have an immediate effect on improving foot posture, dynamic balance, and biomechanical variables in young women with flexible flatfoot? Foot (Edinb) 2023; 56:102032. [PMID: 37019042 DOI: 10.1016/j.foot.2023.102032] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 03/23/2023] [Accepted: 03/30/2023] [Indexed: 04/07/2023]
Abstract
BACKGROUND Flexible flatfoot is common in young adults. One of its causes is the failure of dynamic stabilizers, which play an important role in the medial longitudinal arch support, and their appropriate function is necessary for the integrity of the lower extremity and the spine. OBJECTIVE The study aimed to determine Kinesio taping on which extrinsic foot muscle provides greater benefit regarding enhancement of foot posture, dynamic balance, and biomechanical parameters in functional tasks immediately. METHODS Thirty women were recruited for the study. They were randomly divided into groups (A = 15, B = 15). In group A, Kinesio taping was applied on the tibialis posterior (TP), and in group B, Kinesio taping was applied on the peroneus longus (PL) and remained for 30 min. Outcome measures were the navicular drop test (NDT), foot posture index (FPI), Y-balance test, and biomechanical parameters in functional tasks. Before/After within-group and between-group comparisons of outcome measures were performed. RESULTS NDT and FPI decreased in both groups (p < 0.05) with no significant difference between groups. In group A, maximum total force of the stance phase (MaxTFSP) during running increased, and some temporal parameters were changed. (p < 0.05). In group B, Y-balance test improved in all directions, and the width of the gait line during walking increased. There were no significant differences in the postural stability parameters in the within-group comparison, except for mean center of pressure displacement in group B (p = 0.04). CONCLUSION Kinesio taping of both muscles could improve foot posture. TP Kinesio taping can increase the MaxTFSP during running and alter some temporal parameters during walking and running tasks. PL Kinesio taping could lead to better dynamic stability and coordination during dynamic tasks. Each muscle can be considered a therapeutic target for a specific purpose.
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Affiliation(s)
- Alireza Tahmasbi
- Physical Therapy Department, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran
| | - Azadeh Shadmehr
- Physical Therapy Department, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran.
| | | | - Sara Fereydounnia
- Physical Therapy Department, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran
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Luna-Perejón F, Salvador-Domínguez B, Perez-Peña F, Corral JMR, Escobar-Linero E, Morgado-Estévez A. Smart Shoe Insole Based on Polydimethylsiloxane Composite Capacitive Sensors. SENSORS (BASEL, SWITZERLAND) 2023; 23:1298. [PMID: 36772338 PMCID: PMC9919583 DOI: 10.3390/s23031298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/12/2023] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
Nowadays, the study of the gait by analyzing the distribution of plantar pressure is a well-established technique. The use of intelligent insoles allows real-time monitoring of the user. Thus, collecting and analyzing information is a more accurate process than consultations in so-called gait laboratories. Most of the previous published studies consider the composition and operation of these insoles based on resistive sensors. However, the use of capacitive sensors could provide better results, in terms of linear behavior under the pressure exerted. This behavior depends on the properties of the dielectric used. In this work, the design and implementation of an intelligent plantar insole composed of capacitive sensors is proposed. The dielectric used is a polydimethylsiloxane (PDMS)-based composition. The sensorized plantar insole developed achieves its purpose as a tool for collecting pressure in different areas of the sole of the foot. The fundamentals and details of the composition, manufacture, and implementation of the insole and the system used to collect data, as well as the data samples, are shown. Finally, a comparison of the behavior of both insoles, resistive and capacitive sensor-equipped, is made. The prototype presented lays the foundation for the development of a tool to support the diagnosis of gait abnormalities.
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Affiliation(s)
- Francisco Luna-Perejón
- E.T.S. Ingeniería Informática, Avda. Reina Mercedes s/n, Universidad de Sevilla, 41012 Seville, Provincia de Sevilla, Spain
| | - Blas Salvador-Domínguez
- Department of Automation, Electronics and Computer Architecture and Networks, Escuela Superior de Ingeniería, Universidad de Cádiz, Avda. Universidad de Cádiz 10, 11519 Puerto Real, Provincia de Cádiz, Spain
| | - Fernando Perez-Peña
- Department of Automation, Electronics and Computer Architecture and Networks, Escuela Superior de Ingeniería, Universidad de Cádiz, Avda. Universidad de Cádiz 10, 11519 Puerto Real, Provincia de Cádiz, Spain
| | - José María Rodríguez Corral
- Department of Computer Science and Engineering, Escuela Superior de Ingeniería, Universidad de Cádiz, Avda. Universidad de Cádiz 10, 11519 Puerto Real, Provincia de Cádiz, Spain
| | - Elena Escobar-Linero
- E.T.S. Ingeniería Informática, Avda. Reina Mercedes s/n, Universidad de Sevilla, 41012 Seville, Provincia de Sevilla, Spain
| | - Arturo Morgado-Estévez
- Department of Automation, Electronics and Computer Architecture and Networks, Escuela Superior de Ingeniería, Universidad de Cádiz, Avda. Universidad de Cádiz 10, 11519 Puerto Real, Provincia de Cádiz, Spain
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Liu L, Zhang X. A Focused Review on the Flexible Wearable Sensors for Sports: From Kinematics to Physiologies. MICROMACHINES 2022; 13:1356. [PMID: 36014277 PMCID: PMC9412724 DOI: 10.3390/mi13081356] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 08/15/2022] [Accepted: 08/16/2022] [Indexed: 05/15/2023]
Abstract
As an important branch of wearable electronics, highly flexible and wearable sensors are gaining huge attention due to their emerging applications. In recent years, the participation of wearable devices in sports has revolutionized the way to capture the kinematical and physiological status of athletes. This review focuses on the rapid development of flexible and wearable sensor technologies for sports. We identify and discuss the indicators that reveal the performance and physical condition of players. The kinematical indicators are mentioned according to the relevant body parts, and the physiological indicators are classified into vital signs and metabolisms. Additionally, the available wearable devices and their significant applications in monitoring these kinematical and physiological parameters are described with emphasis. The potential challenges and prospects for the future developments of wearable sensors in sports are discussed comprehensively. This review paper will assist both athletic individuals and researchers to have a comprehensive glimpse of the wearable techniques applied in different sports.
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Affiliation(s)
- Lei Liu
- Department of Sports, Xi'an Polytechnic University, Xi'an 710048, China
| | - Xuefeng Zhang
- Shaanxi Key Laboratory of Nano Materials and Technology, Xi'an University of Architecture and Technology, Xi'an 710055, China
- School of Mechanical and Electrical Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
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Morin P, Muller A, Pontonnier C, Dumont G. Evaluation of the Foot Center of Pressure Estimation from Pressure Insoles during Sidestep Cuts, Runs and Walks. SENSORS 2022; 22:s22155628. [PMID: 35957186 PMCID: PMC9370979 DOI: 10.3390/s22155628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 07/23/2022] [Accepted: 07/24/2022] [Indexed: 02/05/2023]
Abstract
Estimating the foot center of pressure (CoP) position by pressure insoles appears to be an interesting technical solution to perform motion analysis beyond the force platforms surface area. The aim of this study was to estimate the CoP position from Moticon® pressure insoles during sidestep cuts, runs and walks. The CoP positions assessed from force platform data and from pressure insole data were compared. One calibration trial performed on the force platforms was used to localize the insoles in the reference coordinate system. The most accurate results were obtained when the motion performed during the calibration trial was similar to the motion under study. In such a case, mean accuracy of CoP position have been evaluated to 15±4mm along anteroposterior (AP) axis and 8.5±3mm along mediolateral (ML) axis for sidestep cuts, 18±5mm along AP axis and 7.3±4mm along ML axis for runs, 15±6mm along AP axis and 6.6±3mm along ML axis for walks. The accuracy of the CoP position assesment from pressure insole data increased with the vertical force applied to the pressure insole and with the number of pressure cells involved.
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Affiliation(s)
- Pauline Morin
- University Rennes, CNRS, Inria, IRISA-UMR 6074, 35000 Rennes, France; (C.P.); (G.D.)
- Correspondence:
| | - Antoine Muller
- University Lyon, University Gustave Eiffel, University Claude Bernard Lyon 1, LBMC UMR_T 9406, 69622 Lyon, France;
| | - Charles Pontonnier
- University Rennes, CNRS, Inria, IRISA-UMR 6074, 35000 Rennes, France; (C.P.); (G.D.)
| | - Georges Dumont
- University Rennes, CNRS, Inria, IRISA-UMR 6074, 35000 Rennes, France; (C.P.); (G.D.)
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Das R, Paul S, Mourya GK, Kumar N, Hussain M. Recent Trends and Practices Toward Assessment and Rehabilitation of Neurodegenerative Disorders: Insights From Human Gait. Front Neurosci 2022; 16:859298. [PMID: 35495059 PMCID: PMC9051393 DOI: 10.3389/fnins.2022.859298] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 03/01/2022] [Indexed: 12/06/2022] Open
Abstract
The study of human movement and biomechanics forms an integral part of various clinical assessments and provides valuable information toward diagnosing neurodegenerative disorders where the motor symptoms predominate. Conventional gait and postural balance analysis techniques like force platforms, motion cameras, etc., are complex, expensive equipment requiring specialist operators, thereby posing a significant challenge toward translation to the clinics. The current manuscript presents an overview and relevant literature summarizing the umbrella of factors associated with neurodegenerative disorder management: from the pathogenesis and motor symptoms of commonly occurring disorders to current alternate practices toward its quantification and mitigation. This article reviews recent advances in technologies and methodologies for managing important neurodegenerative gait and balance disorders, emphasizing assessment and rehabilitation/assistance. The review predominantly focuses on the application of inertial sensors toward various facets of gait analysis, including event detection, spatiotemporal gait parameter measurement, estimation of joint kinematics, and postural balance analysis. In addition, the use of other sensing principles such as foot-force interaction measurement, electromyography techniques, electrogoniometers, force-myography, ultrasonic, piezoelectric, and microphone sensors has also been explored. The review also examined the commercially available wearable gait analysis systems. Additionally, a summary of recent progress in therapeutic approaches, viz., wearables, virtual reality (VR), and phytochemical compounds, has also been presented, explicitly targeting the neuro-motor and functional impairments associated with these disorders. Efforts toward therapeutic and functional rehabilitation through VR, wearables, and different phytochemical compounds are presented using recent examples of research across the commonly occurring neurodegenerative conditions [viz., Parkinson's disease (PD), Alzheimer's disease (AD), multiple sclerosis, Huntington's disease (HD), and amyotrophic lateral sclerosis (ALS)]. Studies exploring the potential role of Phyto compounds in mitigating commonly associated neurodegenerative pathologies such as mitochondrial dysfunction, α-synuclein accumulation, imbalance of free radicals, etc., are also discussed in breadth. Parameters such as joint angles, plantar pressure, and muscle force can be measured using portable and wearable sensors like accelerometers, gyroscopes, footswitches, force sensors, etc. Kinetic foot insoles and inertial measurement tools are widely explored for studying kinematic and kinetic parameters associated with gait. With advanced correlation algorithms and extensive RCTs, such measurement techniques can be an effective clinical and home-based monitoring and rehabilitation tool for neuro-impaired gait. As evident from the present literature, although the vast majority of works reported are not clinically and extensively validated to derive a firm conclusion about the effectiveness of such techniques, wearable sensors present a promising impact toward dealing with neurodegenerative motor disorders.
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Affiliation(s)
- Ratan Das
- Department of Biomedical Engineering, North-Eastern Hill University, Shillong, India
| | - Sudip Paul
- Department of Biomedical Engineering, North-Eastern Hill University, Shillong, India
| | - Gajendra Kumar Mourya
- Department of Biomedical Engineering, North-Eastern Hill University, Shillong, India
| | - Neelesh Kumar
- Biomedical Applications Unit, Central Scientific Instruments Organisation, Chandigarh, India
| | - Masaraf Hussain
- Department of Neurology, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, India
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Test-Retest Reliability of PODOSmart ® Gait Analysis Insoles. SENSORS 2021; 21:s21227532. [PMID: 34833607 PMCID: PMC8619744 DOI: 10.3390/s21227532] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 11/04/2021] [Accepted: 11/11/2021] [Indexed: 12/20/2022]
Abstract
It is recognized that gait analysis is a powerful tool used to capture human locomotion and quantify the related parameters. PODOSmart® insoles have been designed to provide accurate measurements for gait analysis. PODOSmart® insoles are lightweight, slim and cost-effective. A recent publication presented the characteristics and data concerning the validity of PODOSmart® insoles in gait analysis. In literature, there is still no evidence about the repeatability of PODOSmart® gait analysis system. Such evidence is essential in order to use this device in both research and clinical settings. The aim of the present study was to assess the repeatability of PODOSmart® system. In this context, it was hypothesized that the parameters of gait analysis captured by PODOSmart® would be repeatable. In a sample consisting of 22 healthy male adults, participants performed two walking trials on a six-meter walkway. The ICC values for 28 gait variables provided by PODOSmart® indicated good to excellent test-retest reliability, ranging from 0.802 to 0.997. The present findings confirm that PODOSmart® gait analysis insoles present excellent repeatability in gait analysis parameters. These results offer additional evidence regarding the reliability of this gait analysis tool.
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