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Identifying Gravity-Related Artifacts on Ballistocardiography Signals by Comparing Weightlessness and Normal Gravity Recordings (ARTIFACTS): Protocol for an Observational Study

Identifying Gravity-Related Artifacts on Ballistocardiography Signals by Comparing Weightlessness and Normal Gravity Recordings (ARTIFACTS): Protocol for an Observational Study

This study aims to answer the overall question of what form the BCG-SCG signal takes when the acceleration artifacts created by the intrinsic rotation of synchronous accelerometers, measuring acceleration, and gyroscopes, measuring angular velocities (6-degree-of-freedom [6-DOF] sensors), in relation to earth’s gravity are filtered out. In this context, the question arises of what related artifacts look like and whether it is possible to eliminate them from the signal.

Urs-Vito Albrecht, Annabelle Mielitz, Kazi Mohammad Abidur Rahman, Ulf Kulau

JMIR Res Protoc 2024;13:e63306

Recognition of Daily Activities in Adults With Wearable Inertial Sensors: Deep Learning Methods Study

Recognition of Daily Activities in Adults With Wearable Inertial Sensors: Deep Learning Methods Study

This inertial measurement unit ERGOtex sensor comprises 3 triaxial accelerometers (±2 g, controlled noise at 100 µg/√Hz), triaxial gyroscopes (±1000 deg/s, sensitivity error within ±1%, and low noise level, at ±4 mdeg/s/√Hz), and magnetometers, encapsulated in a device (weight=8 g, dimensions=23×21×10 mm). The ICM-20602 MEMS Motion Tracking (TDK Corp) device was selected for its high-performance specifications, critical for the reliability of the device.

Alberto De Ramón Fernández, Daniel Ruiz Fernández, Miguel García Jaén, Juan M. Cortell-Tormo

JMIR Med Inform 2024;12:e57097