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Fastier-Wooller JW, Lyons N, Vu TH, Pizzolato C, Rybachuk M, Itoh T, Dao DV, Maharaj J, Dau VT. Flexible Iron-On Sensor Embedded in Smart Sock for Gait Event Detection. ACS Appl Mater Interfaces 2024; 16:1638-1649. [PMID: 38110238 DOI: 10.1021/acsami.3c11805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
Portable and wearable electronics for biomechanical data collection have become a growing part of everyday life. As smart technology improves and integrates into our lives, some devices remain ineffective, expensive, or difficult to access. We propose a washable iron-on textile pressure sensor for biometric data acquisition. Biometric data, such as human gait, are a powerful tool for the monitoring and diagnosis of ambulance and physical activity. To demonstrate this, our washable iron-on device is embedded into a sock and compared to gold standard force plate data. Biomechanical testing showed that our embedded sensor displayed a high aptitude for gait event detection, successfully identifying over 96% of heel strike and toe-off gait events. Our device demonstrates excellent attributes for further investigations into low-cost, washable, and highly versatile iron-on textiles for specialized biometric analysis.
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Affiliation(s)
- Jarred W Fastier-Wooller
- School of Engineering and Built Environment, Griffith University, Gold Coast 4222, QLD, Australia
- Department of Precision Engineering, The University of Tokyo, Hongo, Tokyo 113-8656, Japan
| | - Nathan Lyons
- Queensland College of Art, Griffith University, Gold Coast 4215, QLD, Australia
- Griffith Centre of Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Gold Coast 4215, QLD, Australia
| | - Trung-Hieu Vu
- School of Engineering and Built Environment, Griffith University, Gold Coast 4222, QLD, Australia
| | - Claudio Pizzolato
- Griffith Centre of Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Gold Coast 4215, QLD, Australia
- School of Health Sciences and Social Work, Griffith University, Gold Coast 4215, QLD, Australia
| | - Maksym Rybachuk
- School of Engineering and Built Environment, Griffith University, Nathan 4111, QLD, Australia
- Centre for Quantum Dynamics and Australian Attosecond Science Facility, Griffith University, Nathan 4111, QLD, Australia
| | - Toshihiro Itoh
- Department of Precision Engineering, The University of Tokyo, Hongo, Tokyo 113-8656, Japan
| | - Dzung Viet Dao
- School of Engineering and Built Environment, Griffith University, Gold Coast 4222, QLD, Australia
- Queensland Micro- and Nanotechnology Centre, Griffith University, Nathan 4111, QLD, Australia
| | - Jayishni Maharaj
- Griffith Centre of Biomedical and Rehabilitation Engineering, Menzies Health Institute Queensland, Griffith University, Gold Coast 4215, QLD, Australia
- School of Health Sciences and Social Work, Griffith University, Gold Coast 4215, QLD, Australia
| | - Van Thanh Dau
- School of Engineering and Built Environment, Griffith University, Gold Coast 4222, QLD, Australia
- Centre of Catalysis and Clean Energy, Griffith University, Science Road, Gold Coast 4222, QLD, Australia
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Behere SP, Janson CM. Smart Wearables in Pediatric Heart Health. J Pediatr 2023; 253:1-7. [PMID: 36162539 DOI: 10.1016/j.jpeds.2022.08.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 08/03/2022] [Accepted: 08/10/2022] [Indexed: 12/25/2022]
Affiliation(s)
- Shashank P Behere
- Section of Cardiology, Department of Pediatrics, Oklahoma University Health Sciences Center, Oklahoma City, OK; Department of Pediatrics, Cardiac Center, Children's Hospital of Philadelphia, Philadelphia, PA.
| | - Christopher M Janson
- Section of Cardiology, Department of Pediatrics, Oklahoma University Health Sciences Center, Oklahoma City, OK; Department of Pediatrics, Cardiac Center, Children's Hospital of Philadelphia, Philadelphia, PA
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Persons AK, Middleton C, Parker E, Carroll W, Turner A, Talegaonkar P, Davarzani S, Saucier D, Chander H, Ball JE, Elder SH, Simpson CL, Macias D, Burch V. RF. Comparison of the Capacitance of a Cyclically Fatigued Stretch Sensor to a Non-Fatigued Stretch Sensor When Performing Static and Dynamic Foot-Ankle Motions. Sensors (Basel) 2022; 22:s22218168. [PMID: 36365868 PMCID: PMC9661536 DOI: 10.3390/s22218168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 10/19/2022] [Accepted: 10/20/2022] [Indexed: 05/26/2023]
Abstract
Motion capture is the current gold standard for assessing movement of the human body, but laboratory settings do not always mimic the natural terrains and movements encountered by humans. To overcome such limitations, a smart sock that is equipped with stretch sensors is being developed to record movement data outside of the laboratory. For the smart sock stretch sensors to provide valuable feedback, the sensors should have durability of both materials and signal. To test the durability of the stretch sensors, the sensors were exposed to high-cycle fatigue testing with simultaneous capture of the capacitance. Following randomization, either the fatigued sensor or an unfatigued sensor was placed in the plantarflexion position on the smart sock, and participants were asked to complete the following static movements: dorsiflexion, inversion, eversion, and plantarflexion. Participants were then asked to complete gait trials. The sensor was then exchanged for either an unfatigued or fatigued plantarflexion sensor, depending upon which sensor the trials began with, and each trial was repeated by the participant using the opposite sensor. Results of the tests show that for both the static and dynamic movements, the capacitive output of the fatigued sensor was consistently higher than that of the unfatigued sensor suggesting that an upwards drift of the capacitance was occurring in the fatigued sensors. More research is needed to determine whether stretch sensors should be pre-stretched prior to data collection, and to also determine whether the drift stabilizes once the cyclic softening of the materials comprising the sensor has stabilized.
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Affiliation(s)
- Andrea Karen Persons
- The Ohio State Wexner Medical Center, Jameson Crane Sports Medicine Institute, Columbus, OH 43202, USA
| | - Carver Middleton
- Department of Human Factors & Athlete Engineering, Human Performance Lab, Center for Advanced Vehicular Systems, Mississippi State University, Starkville, MS 39759, USA
- Department of Electrical & Computer Engineering, Mississippi State University, Starkville, MS 39762, USA
| | - Erin Parker
- Department of Human Factors & Athlete Engineering, Human Performance Lab, Center for Advanced Vehicular Systems, Mississippi State University, Starkville, MS 39759, USA
- Department of Electrical & Computer Engineering, Mississippi State University, Starkville, MS 39762, USA
| | - Will Carroll
- Department of Human Factors & Athlete Engineering, Human Performance Lab, Center for Advanced Vehicular Systems, Mississippi State University, Starkville, MS 39759, USA
- Department of Electrical & Computer Engineering, Mississippi State University, Starkville, MS 39762, USA
| | - Alana Turner
- Department of Human Factors & Athlete Engineering, Human Performance Lab, Center for Advanced Vehicular Systems, Mississippi State University, Starkville, MS 39759, USA
- Department of Kinesiology, Mississippi State University, Starkville, MS 39762, USA
| | - Purva Talegaonkar
- Department of Human Factors & Athlete Engineering, Human Performance Lab, Center for Advanced Vehicular Systems, Mississippi State University, Starkville, MS 39759, USA
- Department of Industrial & Systems Engineering, Mississippi State University, Starkville, MS 39762, USA
| | - Samaneh Davarzani
- Department of Human Factors & Athlete Engineering, Human Performance Lab, Center for Advanced Vehicular Systems, Mississippi State University, Starkville, MS 39759, USA
- Department of Industrial & Systems Engineering, Mississippi State University, Starkville, MS 39762, USA
| | - David Saucier
- Department of Human Factors & Athlete Engineering, Human Performance Lab, Center for Advanced Vehicular Systems, Mississippi State University, Starkville, MS 39759, USA
| | - Harish Chander
- Department of Human Factors & Athlete Engineering, Human Performance Lab, Center for Advanced Vehicular Systems, Mississippi State University, Starkville, MS 39759, USA
- Department of Kinesiology, Mississippi State University, Starkville, MS 39762, USA
| | - John E. Ball
- Department of Human Factors & Athlete Engineering, Human Performance Lab, Center for Advanced Vehicular Systems, Mississippi State University, Starkville, MS 39759, USA
- Department of Electrical & Computer Engineering, Mississippi State University, Starkville, MS 39762, USA
| | - Steven H. Elder
- Department of Agricultural and Biological Engineering, Mississippi State University, Starkville, MS 39762, USA
| | - Chartrisa LaShan Simpson
- Department of Agricultural and Biological Engineering, Mississippi State University, Starkville, MS 39762, USA
| | - David Macias
- OrthoVirginia, 1920 Ballenger Ave., Alexandria, VA 22314, USA
| | - Reuben F. Burch V.
- Department of Human Factors & Athlete Engineering, Human Performance Lab, Center for Advanced Vehicular Systems, Mississippi State University, Starkville, MS 39759, USA
- Department of Industrial & Systems Engineering, Mississippi State University, Starkville, MS 39762, USA
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