Soft wearable flexible bioelectronics integrated with an ankle-foot exoskeleton for estimation of metabolic costs and physical effort
Abstract Activities and physical effort have been commonly estimated using a metabolic rate through indirect calorimetry to capture breath information. The physical effort represents the work hardness used to optimize wearable robotic systems. Thus, personalization and rapid optimization of the effo...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-01-01
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| Series: | npj Flexible Electronics |
| Online Access: | https://doi.org/10.1038/s41528-023-00239-2 |
| _version_ | 1811175666345836544 |
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| author | Jihoon Kim Prakyath Kantharaju Hoon Yi Michael Jacobson Hyungkeun Jeong Hojoong Kim Jinwoo Lee Jared Matthews Nathan Zavanelli Hyeonseok Kim Heejin Jeong Myunghee Kim Woon-Hong Yeo |
| author_facet | Jihoon Kim Prakyath Kantharaju Hoon Yi Michael Jacobson Hyungkeun Jeong Hojoong Kim Jinwoo Lee Jared Matthews Nathan Zavanelli Hyeonseok Kim Heejin Jeong Myunghee Kim Woon-Hong Yeo |
| author_sort | Jihoon Kim |
| collection | DOAJ |
| description | Abstract Activities and physical effort have been commonly estimated using a metabolic rate through indirect calorimetry to capture breath information. The physical effort represents the work hardness used to optimize wearable robotic systems. Thus, personalization and rapid optimization of the effort are critical. Although respirometry is the gold standard for estimating metabolic costs, this method requires a heavy, bulky, and rigid system, limiting the system’s field deployability. Here, this paper reports a soft, flexible bioelectronic system that integrates a wearable ankle-foot exoskeleton, used to estimate metabolic costs and physical effort, demonstrating the potential for real-time wearable robot adjustments based on biofeedback. Data from a set of activities, including walking, running, and squatting with the biopatch and exoskeleton, determines the relationship between metabolic costs and heart rate variability root mean square of successive differences (HRV-RMSSD) (R = −0.758). Collectively, the exoskeleton-integrated wearable system shows potential to develop a field-deployable exoskeleton platform that can measure wireless real-time physiological signals. |
| first_indexed | 2024-04-10T19:39:25Z |
| format | Article |
| id | doaj.art-06de028f1dee443eb79352e9eb20110c |
| institution | Directory Open Access Journal |
| issn | 2397-4621 |
| language | English |
| last_indexed | 2024-04-10T19:39:25Z |
| publishDate | 2023-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Flexible Electronics |
| spelling | doaj.art-06de028f1dee443eb79352e9eb20110c2023-01-29T12:24:28ZengNature Portfolionpj Flexible Electronics2397-46212023-01-017111010.1038/s41528-023-00239-2Soft wearable flexible bioelectronics integrated with an ankle-foot exoskeleton for estimation of metabolic costs and physical effortJihoon Kim0Prakyath Kantharaju1Hoon Yi2Michael Jacobson3Hyungkeun Jeong4Hojoong Kim5Jinwoo Lee6Jared Matthews7Nathan Zavanelli8Hyeonseok Kim9Heejin Jeong10Myunghee Kim11Woon-Hong Yeo12IEN Center for Human-Centric Interfaces and Engineering and George W. Woodruff School of Mechanical Engineering, Georgia Institute of TechnologyDepartment of Mechanical and Industrial Engineering, the University of Illinois at ChicagoIEN Center for Human-Centric Interfaces and Engineering and George W. Woodruff School of Mechanical Engineering, Georgia Institute of TechnologyDepartment of Mechanical and Industrial Engineering, the University of Illinois at ChicagoDepartment of Mechanical and Industrial Engineering, the University of Illinois at ChicagoIEN Center for Human-Centric Interfaces and Engineering and George W. Woodruff School of Mechanical Engineering, Georgia Institute of TechnologyIEN Center for Human-Centric Interfaces and Engineering and George W. Woodruff School of Mechanical Engineering, Georgia Institute of TechnologyIEN Center for Human-Centric Interfaces and Engineering and George W. Woodruff School of Mechanical Engineering, Georgia Institute of TechnologyIEN Center for Human-Centric Interfaces and Engineering and George W. Woodruff School of Mechanical Engineering, Georgia Institute of TechnologyIEN Center for Human-Centric Interfaces and Engineering and George W. Woodruff School of Mechanical Engineering, Georgia Institute of TechnologyDepartment of Mechanical and Industrial Engineering, the University of Illinois at ChicagoDepartment of Mechanical and Industrial Engineering, the University of Illinois at ChicagoIEN Center for Human-Centric Interfaces and Engineering and George W. Woodruff School of Mechanical Engineering, Georgia Institute of TechnologyAbstract Activities and physical effort have been commonly estimated using a metabolic rate through indirect calorimetry to capture breath information. The physical effort represents the work hardness used to optimize wearable robotic systems. Thus, personalization and rapid optimization of the effort are critical. Although respirometry is the gold standard for estimating metabolic costs, this method requires a heavy, bulky, and rigid system, limiting the system’s field deployability. Here, this paper reports a soft, flexible bioelectronic system that integrates a wearable ankle-foot exoskeleton, used to estimate metabolic costs and physical effort, demonstrating the potential for real-time wearable robot adjustments based on biofeedback. Data from a set of activities, including walking, running, and squatting with the biopatch and exoskeleton, determines the relationship between metabolic costs and heart rate variability root mean square of successive differences (HRV-RMSSD) (R = −0.758). Collectively, the exoskeleton-integrated wearable system shows potential to develop a field-deployable exoskeleton platform that can measure wireless real-time physiological signals.https://doi.org/10.1038/s41528-023-00239-2 |
| spellingShingle | Jihoon Kim Prakyath Kantharaju Hoon Yi Michael Jacobson Hyungkeun Jeong Hojoong Kim Jinwoo Lee Jared Matthews Nathan Zavanelli Hyeonseok Kim Heejin Jeong Myunghee Kim Woon-Hong Yeo Soft wearable flexible bioelectronics integrated with an ankle-foot exoskeleton for estimation of metabolic costs and physical effort npj Flexible Electronics |
| title | Soft wearable flexible bioelectronics integrated with an ankle-foot exoskeleton for estimation of metabolic costs and physical effort |
| title_full | Soft wearable flexible bioelectronics integrated with an ankle-foot exoskeleton for estimation of metabolic costs and physical effort |
| title_fullStr | Soft wearable flexible bioelectronics integrated with an ankle-foot exoskeleton for estimation of metabolic costs and physical effort |
| title_full_unstemmed | Soft wearable flexible bioelectronics integrated with an ankle-foot exoskeleton for estimation of metabolic costs and physical effort |
| title_short | Soft wearable flexible bioelectronics integrated with an ankle-foot exoskeleton for estimation of metabolic costs and physical effort |
| title_sort | soft wearable flexible bioelectronics integrated with an ankle foot exoskeleton for estimation of metabolic costs and physical effort |
| url | https://doi.org/10.1038/s41528-023-00239-2 |
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