Journal: Sensors (Basel, Switzerland)

Article Title: Fast Thermal Calibration of Low-Grade Inertial Sensors and Inertial Measurement Units

doi: 10.3390/s130912192

Figure Lengend Snippet: Description of temperature changes in tests of both Soak and proposed method.

Article Snippet: We also designed three different chamber temperature profiles to test the repeatability of the proposed method. describes the detail of the chamber temperature changes. and show the temperature profiles and how the internal temperatures of the two tested IMUs (Xsens MTi-G and NV-IMU100) changed.

Techniques:

Journal: bioRxiv

Article Title: Two distinct types of eye-head coupling in freely moving mice

doi: 10.1101/2020.02.20.957712

Figure Lengend Snippet: (A) Top: Head tilt was measured using the IMU sensor attached to the animal’s head. Eye positions were measured using the head-mounted camera system. Computational models were used to predict horizontal and vertical eye positions from head pitch and roll for each eye. Bottom: Measured (colored lines) and predicted (black lines) horizontal and vertical eye positions for both eyes. (B) Cross-validated explained variance along the horizontal (horiz.) and vertical (vert.) eye axes ( n = 47 recordings from 5 mice, 10 min each). Head tilt explained 86% variance in vertical but only 62% in horizontal eye position. Recordings for each eye axis pooled across eyes and mice. (C) Interocular correlation of the eye movements that were predictable by head pitch and roll (i.e. the predictions of independent models for the two eyes as shown in A). Strong negative correlation for horizontal eye movements indicates convergence and divergence across eyes. Blue arrows show horizontal convergence. Same data as in B. (D) Prediction errors for the eye position traces in A showed strong co-fluctuations in horizontal but not vertical eye direction. (E) Interocular correlation of the eye movements that were not predictable by head pitch and roll (i.e. the prediction errors of independent models for the two eyes as shown in D). There was a strong positive correlation for horizontal eye movements suggesting that conjugate eye movements occurred during head free behavior and were not explained by head tilt. Arrows show coupling for left eye rotating in nasal direction. Same data as in B.

Article Snippet: For the experiments in freely moving humans, eye position and head motion were recorded using a commercially-available head-mounted eye tracker with integrated IMU sensor (Tobii Pro Glasses 2, Tobii Pro, Sweden).

Techniques:

Journal: Journal of NeuroEngineering and Rehabilitation

Article Title: Applications of wearable sensors in upper extremity MSK conditions: a scoping review

doi: 10.1186/s12984-023-01274-w

Figure Lengend Snippet: Clinical population studies

Article Snippet: (6) Blume et al. 2021 [ ] , 15 Teams consisting of a dental student a dental assistant trainee , Cross- sectional case series , (1) Investigating the ergonomic risk of dental students based on RULA score using inertial sensors during performing standardized dental activities , Upper arms (scapula and humerus), forearms, and wrists , (1) 8 IMU sensors embedded in a Lycra body suite (MVN Link, XSens, Enschede, Netherlands, sampling frequency = 240Hz) , (1) Modified RULA score (1 to 7) and relative time spent at each RULA score [Using accelerometer, angular velocity, and joint angle values in 3 axes (yaw, pitch, roll; °, °/s, g)] , Xsens-MVN Analyze , ×/✓.

Techniques: Software, Control, Activation Assay, Sampling, Activity Assay, Injection, Comparison, Adhesive, Biomarker Discovery, Functional Assay, Plasmid Preparation, Battery

Journal: Journal of NeuroEngineering and Rehabilitation

Article Title: Applications of wearable sensors in upper extremity MSK conditions: a scoping review

doi: 10.1186/s12984-023-01274-w

Figure Lengend Snippet: Workers’ population studies

Article Snippet: (6) Blume et al. 2021 [ ] , 15 Teams consisting of a dental student a dental assistant trainee , Cross- sectional case series , (1) Investigating the ergonomic risk of dental students based on RULA score using inertial sensors during performing standardized dental activities , Upper arms (scapula and humerus), forearms, and wrists , (1) 8 IMU sensors embedded in a Lycra body suite (MVN Link, XSens, Enschede, Netherlands, sampling frequency = 240Hz) , (1) Modified RULA score (1 to 7) and relative time spent at each RULA score [Using accelerometer, angular velocity, and joint angle values in 3 axes (yaw, pitch, roll; °, °/s, g)] , Xsens-MVN Analyze , ×/✓.

Techniques: Software, Sampling, Marker, Control, Modification, Adhesive, Activity Assay, Comparison, Biomarker Discovery, Functional Assay, Activation Assay, Imaging