Determining bone position from wearable antennas using microwave imaging: A feasibility study

Vignesh Radhakrishnan; Peter John Ellison; Samadhan Bhaulal Patil; Adar Pelah; Martin Paul Robinson

Determining bone position from wearable antennas using microwave imaging: A feasibility study

Vignesh Radhakrishnan^*, Peter John Ellison, Samadhan Bhaulal Patil, Adar Pelah, Martin Paul Robinson

^*Corresponding author for this work

Electronic Engineering

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

Abstract

Imaging of the bone is an important clinical tool in detecting fractures, determining loss of bone density and in improving movement and gait analysis, with visualisation predominantly performed using ionising imaging. Microwave imaging, an alternative non-ionising imaging modality, has shown promising results in analysing bone density variation and in determining the presence of tears in joint tissues. In this study, we aimed to detect the location of the bone in the leg using radar-based microwave imaging. Confocal imaging algorithms were applied to scattering data acquired from simulated wearable antennas on a male human model without the use of a coupling liquid. We successfully detected both thigh and shin bones, with a localisation error of 2.5 cm, 0.91 cm and 1.34 cm for the femur, tibia and fibula centres respectively. Notably, these errors are in line with tumour detection errors. Our methodology and results illustrate a safe, easy-to-implement and simple pipeline using off-the-shelf antennas and algorithms to determine bone position using wearable sensors. We believe this technique has wide ranging applications, particularly in improving the accuracy of clinical movement analysis systems.

Original language	English
Title of host publication	URSI GASS 2023, proceedings
Publisher	URSI
Number of pages	4
Publication status	Accepted/In press - 2023
Event	URSI General Assembly and Scientific Symposium 2023 - Sapporo Convention Centre, Sapporo Business Innovation Centre, Sapporo, Japan Duration: 19 Aug 2023 → 26 Aug 2023 Conference number: 35 https://www.ursi-gass2023.jp/

Conference

Conference	URSI General Assembly and Scientific Symposium 2023
Abbreviated title	URSI GASS 2023
Country/Territory	Japan
City	Sapporo
Period	19/08/23 → 26/08/23
Internet address	https://www.ursi-gass2023.jp/

Bibliographical note

© The authors, 2023. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details

Access to Document

Determining bone position from wearable antennas using microwave imaging A feasibility study
© The authors, 2023. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
Accepted author manuscript, 381 KBLicence: Other

Cite this

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title = "Determining bone position from wearable antennas using microwave imaging: A feasibility study",

abstract = "Imaging of the bone is an important clinical tool in detecting fractures, determining loss of bone density and in improving movement and gait analysis, with visualisation predominantly performed using ionising imaging. Microwave imaging, an alternative non-ionising imaging modality, has shown promising results in analysing bone density variation and in determining the presence of tears in joint tissues. In this study, we aimed to detect the location of the bone in the leg using radar-based microwave imaging. Confocal imaging algorithms were applied to scattering data acquired from simulated wearable antennas on a male human model without the use of a coupling liquid. We successfully detected both thigh and shin bones, with a localisation error of 2.5 cm, 0.91 cm and 1.34 cm for the femur, tibia and fibula centres respectively. Notably, these errors are in line with tumour detection errors. Our methodology and results illustrate a safe, easy-to-implement and simple pipeline using off-the-shelf antennas and algorithms to determine bone position using wearable sensors. We believe this technique has wide ranging applications, particularly in improving the accuracy of clinical movement analysis systems.",

author = "Vignesh Radhakrishnan and Ellison, {Peter John} and Patil, {Samadhan Bhaulal} and Adar Pelah and Robinson, {Martin Paul}",

note = "{\textcopyright} The authors, 2023. This is an author-produced version of the published paper. Uploaded in accordance with the publisher{\textquoteright}s self-archiving policy. Further copying may not be permitted; contact the publisher for details; URSI General Assembly and Scientific Symposium 2023, URSI GASS 2023 ; Conference date: 19-08-2023 Through 26-08-2023",

year = "2023",

language = "English",

booktitle = "URSI GASS 2023, proceedings",

publisher = "URSI",

url = "https://www.ursi-gass2023.jp/",

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TY - GEN

T1 - Determining bone position from wearable antennas using microwave imaging

T2 - URSI General Assembly and Scientific Symposium 2023

AU - Radhakrishnan, Vignesh

AU - Ellison, Peter John

AU - Patil, Samadhan Bhaulal

AU - Pelah, Adar

AU - Robinson, Martin Paul

N1 - Conference code: 35

PY - 2023

Y1 - 2023

N2 - Imaging of the bone is an important clinical tool in detecting fractures, determining loss of bone density and in improving movement and gait analysis, with visualisation predominantly performed using ionising imaging. Microwave imaging, an alternative non-ionising imaging modality, has shown promising results in analysing bone density variation and in determining the presence of tears in joint tissues. In this study, we aimed to detect the location of the bone in the leg using radar-based microwave imaging. Confocal imaging algorithms were applied to scattering data acquired from simulated wearable antennas on a male human model without the use of a coupling liquid. We successfully detected both thigh and shin bones, with a localisation error of 2.5 cm, 0.91 cm and 1.34 cm for the femur, tibia and fibula centres respectively. Notably, these errors are in line with tumour detection errors. Our methodology and results illustrate a safe, easy-to-implement and simple pipeline using off-the-shelf antennas and algorithms to determine bone position using wearable sensors. We believe this technique has wide ranging applications, particularly in improving the accuracy of clinical movement analysis systems.

AB - Imaging of the bone is an important clinical tool in detecting fractures, determining loss of bone density and in improving movement and gait analysis, with visualisation predominantly performed using ionising imaging. Microwave imaging, an alternative non-ionising imaging modality, has shown promising results in analysing bone density variation and in determining the presence of tears in joint tissues. In this study, we aimed to detect the location of the bone in the leg using radar-based microwave imaging. Confocal imaging algorithms were applied to scattering data acquired from simulated wearable antennas on a male human model without the use of a coupling liquid. We successfully detected both thigh and shin bones, with a localisation error of 2.5 cm, 0.91 cm and 1.34 cm for the femur, tibia and fibula centres respectively. Notably, these errors are in line with tumour detection errors. Our methodology and results illustrate a safe, easy-to-implement and simple pipeline using off-the-shelf antennas and algorithms to determine bone position using wearable sensors. We believe this technique has wide ranging applications, particularly in improving the accuracy of clinical movement analysis systems.

M3 - Conference contribution

BT - URSI GASS 2023, proceedings

PB - URSI

Y2 - 19 August 2023 through 26 August 2023

ER -