Accepted for/Published in: JMIR Research Protocols
Date Submitted: Jun 16, 2024
Open Peer Review Period: Jun 16, 2024 - Jun 20, 2024
Date Accepted: Jul 23, 2024
(closed for review but you can still tweet)
Identifying Gravity-Related Artifacts on Ballistocardiography Signals by Comparing Weightlessness and Normal Gravity Recordings (ARTIFACTS) — Protocol for an Observational Study
ABSTRACT
Background:
Modern ballistocardiography (BCG) and seismocardiography (SCG) use acceleration sensors to measure oscillating recoil movements of the body caused by the heartbeat and blood flow, which are transmitted to the body surface. Acceleration artifacts occur through intrinsic sensor roll, pitch and yaw movements, assessed by the angular velocities of the respective sensor, during measurements that bias the signal interpretation.
Objective:
The aim of this observational study is to generate hypotheses on the detection and elimination of acceleration artifacts due to the intrinsic rotation of accelerometers and their differentiation from heart-induced sensor accelerations.
Methods:
Multi-modal data from 4 healthy subjects (3m/1f) using BCG/SCG and ECG will be collected and serve as a basis for signal characterization, model modulation and location vector derivation under parabolic flight conditions from µg to 1.8 g. The data will be obtained during a parabolic flight campaign (3 times 30 parabolas) in September 24 or March 25 (depending on flight schedule). In order to detect the described acceleration artifacts, accelerometers and gyroscopes (6 Degrees of Freedom (6- DOF) sensors) will be used for measuring acceleration and angular velocities attributed to intrinsic sensor rotation. Changes in acceleration and angular velocities will be explored by conducting descriptive data analysis of resting subjects, sitting in an upright position in varying gravitational states.
Results:
A multi-modal data set will serve as basis for research into a non-invasive and gentle method of BCG/SCG with the aid of low-noise and synchronous 3D-gyroscopes and 3D-acceleration sensors. Hypotheses on the detection and elimination of acceleration artifacts due to the intrinsic rotation of accelerometers and gyroscopes (6-DOF sensors) and their differentiation from heart-induced sensor accelerations will be generated.
Conclusions:
The study will contribute to the understanding of artificial acceleration bias to signal readings and will be a first approach for a detection and elimination method. Clinical Trial: DRKS00034402
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.