Lung Sliding Detection in M-Mode Using Wearable Ultrasonic Sensor: An In-Vivo Feasibility Study

Tran, Khoa; Steinberg, Shane; Ono, Yuu; Rajan, Sreeraman; Arntfield, Robert

doi:10.1109/ius51837.2023.10307019

2023 IEEE International Ultrasonics Symposium (IUS) 2023

DOI: 10.1109/ius51837.2023.10307019

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Lung Sliding Detection in M-Mode Using Wearable Ultrasonic Sensor: An In-Vivo Feasibility Study

Khoa Tran,

Shane Steinberg,

Yuu Ono

et al.

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Cited by 2 publications

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Automated Segmentation of M-Mode Lung Ultrasound Images Obtained from a Single-Element Wearable Ultrasonic Sensor

Tran,

Ono,

Rajan

et al. 2024

2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS)

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Automated Segmentation of M-Mode Lung Ultrasound Images Obtained from a Single-Element Wearable Ultrasonic Sensor

Tran,

Ono,

Rajan

et al. 2024

2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS)

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Envelope Statistics Analysis of M-mode Signals in Lung Ultrasound for Distinguishing Stratosphere from Seashore Signs: A Preliminary Study

Mori,

Ono,

Arakawa

et al. 2024

2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS)

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Lung Sliding Detection in M-Mode Using Wearable Ultrasonic Sensor: An In-Vivo Feasibility Study

Cited by 2 publications

References 9 publications

Automated Segmentation of M-Mode Lung Ultrasound Images Obtained from a Single-Element Wearable Ultrasonic Sensor

Automated Segmentation of M-Mode Lung Ultrasound Images Obtained from a Single-Element Wearable Ultrasonic Sensor

Envelope Statistics Analysis of M-mode Signals in Lung Ultrasound for Distinguishing Stratosphere from Seashore Signs: A Preliminary Study

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