Deep learning Algorithm for image classification of waveforms obtained from electrically stimulated hypoxic skeletal muscle bundles

Weston Upchurch; Alex Deakyne; David A. Ramirez; Paul A. Iaizzo

doi:10.1115/DMD2020-9068

Deep learning Algorithm for image classification of waveforms obtained from electrically stimulated hypoxic skeletal muscle bundles

Weston Upchurch, Alex Deakyne, David A. Ramirez, Paul A. Iaizzo

Surgery

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Acute compartment syndrome is a serious condition that requires urgent surgical treatment. While the current emergency treatment is straightforward - relieve intra-compartmental pressure via fasciotomy - the diagnosis is often a difficult one. A deep neural network is presented here that has been trained to detect whether isolated muscle bundles were exposed to hypoxic conditions and became ischemic.

Original language	English (US)
Title of host publication	Frontiers in Biomedical Devices, BIOMED - 2020 Design of Medical Devices Conference, DMD 2020
Publisher	American Society of Mechanical Engineers (ASME)
ISBN (Electronic)	9780791883549
DOIs	https://doi.org/10.1115/DMD2020-9068
State	Published - 2020
Event	2020 Design of Medical Devices Conference, DMD 2020 - Minneapolis, United States Duration: Apr 6 2020 → Apr 9 2020

Publication series

Name	Frontiers in Biomedical Devices, BIOMED - 2020 Design of Medical Devices Conference, DMD 2020

Conference

Conference	2020 Design of Medical Devices Conference, DMD 2020
Country/Territory	United States
City	Minneapolis
Period	4/6/20 → 4/9/20

Bibliographical note

Publisher Copyright:
Copyright © 2020 ASME

Keywords

Compartment syndrome
Deep learning
Ischemia

Publisher link

10.1115/DMD2020-9068

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Upchurch, W., Deakyne, A., Ramirez, D. A., & Iaizzo, P. A. (2020). Deep learning Algorithm for image classification of waveforms obtained from electrically stimulated hypoxic skeletal muscle bundles. In Frontiers in Biomedical Devices, BIOMED - 2020 Design of Medical Devices Conference, DMD 2020 (Frontiers in Biomedical Devices, BIOMED - 2020 Design of Medical Devices Conference, DMD 2020). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DMD2020-9068

Deep learning Algorithm for image classification of waveforms obtained from electrically stimulated hypoxic skeletal muscle bundles. / Upchurch, Weston; Deakyne, Alex; Ramirez, David A. et al.
Frontiers in Biomedical Devices, BIOMED - 2020 Design of Medical Devices Conference, DMD 2020. American Society of Mechanical Engineers (ASME), 2020. (Frontiers in Biomedical Devices, BIOMED - 2020 Design of Medical Devices Conference, DMD 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Upchurch, W, Deakyne, A, Ramirez, DA & Iaizzo, PA 2020, Deep learning Algorithm for image classification of waveforms obtained from electrically stimulated hypoxic skeletal muscle bundles. in Frontiers in Biomedical Devices, BIOMED - 2020 Design of Medical Devices Conference, DMD 2020. Frontiers in Biomedical Devices, BIOMED - 2020 Design of Medical Devices Conference, DMD 2020, American Society of Mechanical Engineers (ASME), 2020 Design of Medical Devices Conference, DMD 2020, Minneapolis, United States, 4/6/20. https://doi.org/10.1115/DMD2020-9068

Upchurch W, Deakyne A, Ramirez DA, Iaizzo PA. Deep learning Algorithm for image classification of waveforms obtained from electrically stimulated hypoxic skeletal muscle bundles. In Frontiers in Biomedical Devices, BIOMED - 2020 Design of Medical Devices Conference, DMD 2020. American Society of Mechanical Engineers (ASME). 2020. (Frontiers in Biomedical Devices, BIOMED - 2020 Design of Medical Devices Conference, DMD 2020). doi: 10.1115/DMD2020-9068

Upchurch, Weston ; Deakyne, Alex ; Ramirez, David A. et al. / Deep learning Algorithm for image classification of waveforms obtained from electrically stimulated hypoxic skeletal muscle bundles. Frontiers in Biomedical Devices, BIOMED - 2020 Design of Medical Devices Conference, DMD 2020. American Society of Mechanical Engineers (ASME), 2020. (Frontiers in Biomedical Devices, BIOMED - 2020 Design of Medical Devices Conference, DMD 2020).

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abstract = "Acute compartment syndrome is a serious condition that requires urgent surgical treatment. While the current emergency treatment is straightforward - relieve intra-compartmental pressure via fasciotomy - the diagnosis is often a difficult one. A deep neural network is presented here that has been trained to detect whether isolated muscle bundles were exposed to hypoxic conditions and became ischemic.",

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Deep learning Algorithm for image classification of waveforms obtained from electrically stimulated hypoxic skeletal muscle bundles

Abstract

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Keywords

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