A novel scalable electrode array and system for non‐invasively assessing gastric function using flexible electronics
Background Disorders of gastric function are highly prevalent, but diagnosis often remains symptom‐based and inconclusive. Body surface gastric mapping is an emerging diagnostic solution, but current approaches lack scalability and are cumbersome and clinically impractical. We present a novel scalab...
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Published in | Neurogastroenterology and motility Vol. 35; no. 2; pp. e14418 - n/a |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Wiley Subscription Services, Inc
01.02.2023
John Wiley and Sons Inc |
Subjects | |
Online Access | Get full text |
ISSN | 1350-1925 1365-2982 1365-2982 |
DOI | 10.1111/nmo.14418 |
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Abstract | Background
Disorders of gastric function are highly prevalent, but diagnosis often remains symptom‐based and inconclusive. Body surface gastric mapping is an emerging diagnostic solution, but current approaches lack scalability and are cumbersome and clinically impractical. We present a novel scalable system for non‐invasively mapping gastric electrophysiology in high‐resolution (HR) at the body surface.
Methods
The system comprises a custom‐designed stretchable high‐resolution “peel‐and‐stick” sensor array (8 × 8 pre‐gelled Ag/AgCl electrodes at 2 cm spacing; area 225 cm2), wearable data logger with custom electronics incorporating bioamplifier chips, accelerometer and Bluetooth synchronized in real‐time to an App with cloud connectivity. Automated algorithms filter and extract HR biomarkers including propagation (phase) mapping. The system was tested in a cohort of 24 healthy subjects to define reliability and characterize features of normal gastric activity (30 m fasting, standardized meal, and 4 h postprandial).
Key Results
Gastric mapping was successfully achieved non‐invasively in all cases (16 male; 8 female; aged 20–73 years; BMI 24.2 ± 3.5). In all subjects, gastric electrophysiology and meal responses were successfully captured and quantified non‐invasively (mean frequency 2.9 ± 0.3 cycles per minute; peak amplitude at mean 60 m postprandially with return to baseline in <4 h). Spatiotemporal mapping showed regular and consistent wave activity of mean direction 182.7° ± 73 (74.7% antegrade, 7.8% retrograde, 17.5% indeterminate).
Conclusions and Inferences
BSGM is a new diagnostic tool for assessing gastric function that is scalable and ready for clinical applications, offering several biomarkers that are improved or new to gastroenterology practice.
A novel scalable electrode array and system is presented that employs high‐resolution flexible electronics attached to a portable data logger, capable of non‐invasively mapping gastric motility accurately from the surface of the abdominal skin. |
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AbstractList | Disorders of gastric function are highly prevalent, but diagnosis often remains symptom-based and inconclusive. Body surface gastric mapping is an emerging diagnostic solution, but current approaches lack scalability and are cumbersome and clinically impractical. We present a novel scalable system for non-invasively mapping gastric electrophysiology in high-resolution (HR) at the body surface.BACKGROUNDDisorders of gastric function are highly prevalent, but diagnosis often remains symptom-based and inconclusive. Body surface gastric mapping is an emerging diagnostic solution, but current approaches lack scalability and are cumbersome and clinically impractical. We present a novel scalable system for non-invasively mapping gastric electrophysiology in high-resolution (HR) at the body surface.The system comprises a custom-designed stretchable high-resolution "peel-and-stick" sensor array (8 × 8 pre-gelled Ag/AgCl electrodes at 2 cm spacing; area 225 cm2 ), wearable data logger with custom electronics incorporating bioamplifier chips, accelerometer and Bluetooth synchronized in real-time to an App with cloud connectivity. Automated algorithms filter and extract HR biomarkers including propagation (phase) mapping. The system was tested in a cohort of 24 healthy subjects to define reliability and characterize features of normal gastric activity (30 m fasting, standardized meal, and 4 h postprandial).METHODSThe system comprises a custom-designed stretchable high-resolution "peel-and-stick" sensor array (8 × 8 pre-gelled Ag/AgCl electrodes at 2 cm spacing; area 225 cm2 ), wearable data logger with custom electronics incorporating bioamplifier chips, accelerometer and Bluetooth synchronized in real-time to an App with cloud connectivity. Automated algorithms filter and extract HR biomarkers including propagation (phase) mapping. The system was tested in a cohort of 24 healthy subjects to define reliability and characterize features of normal gastric activity (30 m fasting, standardized meal, and 4 h postprandial).Gastric mapping was successfully achieved non-invasively in all cases (16 male; 8 female; aged 20-73 years; BMI 24.2 ± 3.5). In all subjects, gastric electrophysiology and meal responses were successfully captured and quantified non-invasively (mean frequency 2.9 ± 0.3 cycles per minute; peak amplitude at mean 60 m postprandially with return to baseline in <4 h). Spatiotemporal mapping showed regular and consistent wave activity of mean direction 182.7° ± 73 (74.7% antegrade, 7.8% retrograde, 17.5% indeterminate).KEY RESULTSGastric mapping was successfully achieved non-invasively in all cases (16 male; 8 female; aged 20-73 years; BMI 24.2 ± 3.5). In all subjects, gastric electrophysiology and meal responses were successfully captured and quantified non-invasively (mean frequency 2.9 ± 0.3 cycles per minute; peak amplitude at mean 60 m postprandially with return to baseline in <4 h). Spatiotemporal mapping showed regular and consistent wave activity of mean direction 182.7° ± 73 (74.7% antegrade, 7.8% retrograde, 17.5% indeterminate).BSGM is a new diagnostic tool for assessing gastric function that is scalable and ready for clinical applications, offering several biomarkers that are improved or new to gastroenterology practice.CONCLUSIONS AND INFERENCESBSGM is a new diagnostic tool for assessing gastric function that is scalable and ready for clinical applications, offering several biomarkers that are improved or new to gastroenterology practice. A novel scalable electrode array and system is presented that employs high‐resolution flexible electronics attached to a portable data logger, capable of non‐invasively mapping gastric motility accurately from the surface of the abdominal skin. Disorders of gastric function are highly prevalent, but diagnosis often remains symptom-based and inconclusive. Body surface gastric mapping is an emerging diagnostic solution, but current approaches lack scalability and are cumbersome and clinically impractical. We present a novel scalable system for non-invasively mapping gastric electrophysiology in high-resolution (HR) at the body surface. The system comprises a custom-designed stretchable high-resolution "peel-and-stick" sensor array (8 × 8 pre-gelled Ag/AgCl electrodes at 2 cm spacing; area 225 cm ), wearable data logger with custom electronics incorporating bioamplifier chips, accelerometer and Bluetooth synchronized in real-time to an App with cloud connectivity. Automated algorithms filter and extract HR biomarkers including propagation (phase) mapping. The system was tested in a cohort of 24 healthy subjects to define reliability and characterize features of normal gastric activity (30 m fasting, standardized meal, and 4 h postprandial). Gastric mapping was successfully achieved non-invasively in all cases (16 male; 8 female; aged 20-73 years; BMI 24.2 ± 3.5). In all subjects, gastric electrophysiology and meal responses were successfully captured and quantified non-invasively (mean frequency 2.9 ± 0.3 cycles per minute; peak amplitude at mean 60 m postprandially with return to baseline in <4 h). Spatiotemporal mapping showed regular and consistent wave activity of mean direction 182.7° ± 73 (74.7% antegrade, 7.8% retrograde, 17.5% indeterminate). BSGM is a new diagnostic tool for assessing gastric function that is scalable and ready for clinical applications, offering several biomarkers that are improved or new to gastroenterology practice. Background Disorders of gastric function are highly prevalent, but diagnosis often remains symptom‐based and inconclusive. Body surface gastric mapping is an emerging diagnostic solution, but current approaches lack scalability and are cumbersome and clinically impractical. We present a novel scalable system for non‐invasively mapping gastric electrophysiology in high‐resolution (HR) at the body surface. Methods The system comprises a custom‐designed stretchable high‐resolution “peel‐and‐stick” sensor array (8 × 8 pre‐gelled Ag/AgCl electrodes at 2 cm spacing; area 225 cm2), wearable data logger with custom electronics incorporating bioamplifier chips, accelerometer and Bluetooth synchronized in real‐time to an App with cloud connectivity. Automated algorithms filter and extract HR biomarkers including propagation (phase) mapping. The system was tested in a cohort of 24 healthy subjects to define reliability and characterize features of normal gastric activity (30 m fasting, standardized meal, and 4 h postprandial). Key Results Gastric mapping was successfully achieved non‐invasively in all cases (16 male; 8 female; aged 20–73 years; BMI 24.2 ± 3.5). In all subjects, gastric electrophysiology and meal responses were successfully captured and quantified non‐invasively (mean frequency 2.9 ± 0.3 cycles per minute; peak amplitude at mean 60 m postprandially with return to baseline in <4 h). Spatiotemporal mapping showed regular and consistent wave activity of mean direction 182.7° ± 73 (74.7% antegrade, 7.8% retrograde, 17.5% indeterminate). Conclusions and Inferences BSGM is a new diagnostic tool for assessing gastric function that is scalable and ready for clinical applications, offering several biomarkers that are improved or new to gastroenterology practice. A novel scalable electrode array and system is presented that employs high‐resolution flexible electronics attached to a portable data logger, capable of non‐invasively mapping gastric motility accurately from the surface of the abdominal skin. BackgroundDisorders of gastric function are highly prevalent, but diagnosis often remains symptom‐based and inconclusive. Body surface gastric mapping is an emerging diagnostic solution, but current approaches lack scalability and are cumbersome and clinically impractical. We present a novel scalable system for non‐invasively mapping gastric electrophysiology in high‐resolution (HR) at the body surface.MethodsThe system comprises a custom‐designed stretchable high‐resolution “peel‐and‐stick” sensor array (8 × 8 pre‐gelled Ag/AgCl electrodes at 2 cm spacing; area 225 cm2), wearable data logger with custom electronics incorporating bioamplifier chips, accelerometer and Bluetooth synchronized in real‐time to an App with cloud connectivity. Automated algorithms filter and extract HR biomarkers including propagation (phase) mapping. The system was tested in a cohort of 24 healthy subjects to define reliability and characterize features of normal gastric activity (30 m fasting, standardized meal, and 4 h postprandial).Key ResultsGastric mapping was successfully achieved non‐invasively in all cases (16 male; 8 female; aged 20–73 years; BMI 24.2 ± 3.5). In all subjects, gastric electrophysiology and meal responses were successfully captured and quantified non‐invasively (mean frequency 2.9 ± 0.3 cycles per minute; peak amplitude at mean 60 m postprandially with return to baseline in <4 h). Spatiotemporal mapping showed regular and consistent wave activity of mean direction 182.7° ± 73 (74.7% antegrade, 7.8% retrograde, 17.5% indeterminate).Conclusions and InferencesBSGM is a new diagnostic tool for assessing gastric function that is scalable and ready for clinical applications, offering several biomarkers that are improved or new to gastroenterology practice. |
Author | Carson, Daniel A. Waite, Stephen Gharibans, Armen A. Varghese, Chris Du, Peng O'Grady, Greg Keane, Celia Woodhead, Jonathan S. T. Hayes, Tommy C. L. Yarmut, Yaara Calder, Stefan Andrews, Christopher N. |
AuthorAffiliation | 3 Auckland Bioengineering Institute University of Auckland Auckland New Zealand 2 Alimetry Ltd Auckland New Zealand 5 Department of Medicine University of Calgary NB Calgary Alberta Canada 1 Department of Surgery University of Auckland Auckland New Zealand 4 Maurice Wilkins Centre for Molecular Biodiscovery The University of Auckland Auckland New Zealand |
AuthorAffiliation_xml | – name: 2 Alimetry Ltd Auckland New Zealand – name: 1 Department of Surgery University of Auckland Auckland New Zealand – name: 5 Department of Medicine University of Calgary NB Calgary Alberta Canada – name: 4 Maurice Wilkins Centre for Molecular Biodiscovery The University of Auckland Auckland New Zealand – name: 3 Auckland Bioengineering Institute University of Auckland Auckland New Zealand |
Author_xml | – sequence: 1 givenname: Armen A. surname: Gharibans fullname: Gharibans, Armen A. organization: University of Auckland – sequence: 2 givenname: Tommy C. L. surname: Hayes fullname: Hayes, Tommy C. L. organization: University of Auckland – sequence: 3 givenname: Daniel A. orcidid: 0000-0002-5089-2807 surname: Carson fullname: Carson, Daniel A. organization: University of Auckland – sequence: 4 givenname: Stefan surname: Calder fullname: Calder, Stefan organization: Alimetry Ltd – sequence: 5 givenname: Chris orcidid: 0000-0001-7369-8639 surname: Varghese fullname: Varghese, Chris organization: University of Auckland – sequence: 6 givenname: Peng orcidid: 0000-0002-6913-7545 surname: Du fullname: Du, Peng organization: University of Auckland – sequence: 7 givenname: Yaara surname: Yarmut fullname: Yarmut, Yaara organization: Alimetry Ltd – sequence: 8 givenname: Stephen surname: Waite fullname: Waite, Stephen organization: Alimetry Ltd – sequence: 9 givenname: Celia surname: Keane fullname: Keane, Celia organization: Alimetry Ltd – sequence: 10 givenname: Jonathan S. T. surname: Woodhead fullname: Woodhead, Jonathan S. T. organization: The University of Auckland – sequence: 11 givenname: Christopher N. surname: Andrews fullname: Andrews, Christopher N. organization: University of Calgary – sequence: 12 givenname: Greg orcidid: 0000-0002-5998-1080 surname: O'Grady fullname: O'Grady, Greg email: greg.ogrady@auckland.ac.nz organization: Alimetry Ltd |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35699340$$D View this record in MEDLINE/PubMed |
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Keywords | gastric motility diagnostics functional gastrointestinal disorders bioelectronics |
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Snippet | Background
Disorders of gastric function are highly prevalent, but diagnosis often remains symptom‐based and inconclusive. Body surface gastric mapping is an... Disorders of gastric function are highly prevalent, but diagnosis often remains symptom-based and inconclusive. Body surface gastric mapping is an emerging... BackgroundDisorders of gastric function are highly prevalent, but diagnosis often remains symptom‐based and inconclusive. Body surface gastric mapping is an... A novel scalable electrode array and system is presented that employs high‐resolution flexible electronics attached to a portable data logger, capable of... |
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StartPage | e14418 |
SubjectTerms | bioelectronics Biomarkers diagnostics Electrodes Electronics Electrophysiology Female functional gastrointestinal disorders gastric motility Gastroenterology Gastrointestinal Motility - physiology Humans Male Mapping Original Reproducibility of Results Silver chloride Stomach - physiology |
Title | A novel scalable electrode array and system for non‐invasively assessing gastric function using flexible electronics |
URI | https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fnmo.14418 https://www.ncbi.nlm.nih.gov/pubmed/35699340 https://www.proquest.com/docview/2770905024 https://www.proquest.com/docview/2676555526 https://pubmed.ncbi.nlm.nih.gov/PMC10078595 |
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