Journal: Frontiers in Digital Health

Article Title: Wearable Sensor Systems for Fall Risk Assessment: A Review

doi: 10.3389/fdgth.2022.921506

Figure Lengend Snippet: Studies using inertial sensor-based fall-risk assessment and fall detection systems.

Article Snippet: Qiu et al. ( ) , 100 community-dwelling Korean older women (≥65 years) • 114 non-fallers • 82 fallers , • 5 Xsens inertial sensors−3D Accelerometer + 3D Gyroscope (pelvis, thighs, and shanks) , • Time and frequency domain features from sensory integration test (SIT) • Limits of Stability (LOS) • Sit-to-Stand Five Times (STS5) • Gait parameter from timed up and go (TUG) test: gait velocity, step time and length, tuning time • Range of motion (ROM): knee flexion; knee extension • Choice reaction test (CRT) • Computerized falls efficacy scale (FES) , • Logistic regression • Naïve Bayes (NB) • Decision tree (DT) • Random forest (RF) • Boosted tree (BT) • Support vector machine (SVM) , • Support vector machine for faller classification achieved the highest overall accuracy of 89.4% with 92.7% sensitivity and 84.9% specificity • fallers exhibited worse performances of visual and vestibular systems, a smaller knee ROM, a slower information processing speed, a higher fear of falling, and experienced more difficulties during the complex tasks such as TUG, LOS, and STS5.

Techniques: Functional Assay, Plasmid Preparation, Medications, Standard Deviation

Journal: Sensors (Basel, Switzerland)

Article Title: Effects of Wearable Devices with Biofeedback on Biomechanical Performance of Running—A Systematic Review

doi: 10.3390/s20226637

Figure Lengend Snippet: Equipment, body placement and feedback form.

Article Snippet: [ ] , 3D accelerometer (2400 T G2, Noraxon) AE: infrared CMCY , Device tracks tibia acceleration , Right anteromedial distal aspect of tibia , Visual and auditory Remain under shock threshold with a self-selected running strategy , Large 5 m screen: colored circles representing target accuracy Sound: laboratory speakers.

Techniques: Sampling

Journal: Scientific Reports

Article Title: On the design of a MEMS piezoelectric accelerometer coupled to the middle ear as an implantable sensor for hearing devices

doi: 10.1038/s41598-018-22219-7

Figure Lengend Snippet: Summary of current implantable sensor designs and performance.

Article Snippet: Figure 8 3D layouts of the three MEMS piezoelectric accelerometers considered modeled in Comsol Multiphysics: trampoline on the left, annular model at the center and the hexagonal beams with a square seismic mass accelerometer on the right.

Techniques:

Journal: Scientific Reports

Article Title: On the design of a MEMS piezoelectric accelerometer coupled to the middle ear as an implantable sensor for hearing devices

doi: 10.1038/s41598-018-22219-7

Figure Lengend Snippet: Top view of the different MEMS piezoelectric accelerometers analyzed: trampoline (left), annular (middle) and hexagonal beams with square seismic mass (right).

Article Snippet: Figure 8 3D layouts of the three MEMS piezoelectric accelerometers considered modeled in Comsol Multiphysics: trampoline on the left, annular model at the center and the hexagonal beams with a square seismic mass accelerometer on the right.

Techniques:

Journal: Scientific Reports

Article Title: On the design of a MEMS piezoelectric accelerometer coupled to the middle ear as an implantable sensor for hearing devices

doi: 10.1038/s41598-018-22219-7

Figure Lengend Snippet: 3D layouts of the three MEMS piezoelectric accelerometers considered modeled in Comsol Multiphysics: trampoline on the left, annular model at the center and the hexagonal beams with a square seismic mass accelerometer on the right. The frame, beam and seismic mass are shown in light gray, whereas the AlN layers and electrodes are shown in blue.

Article Snippet: Figure 8 3D layouts of the three MEMS piezoelectric accelerometers considered modeled in Comsol Multiphysics: trampoline on the left, annular model at the center and the hexagonal beams with a square seismic mass accelerometer on the right.

Techniques:

Journal: Journal of NeuroEngineering and Rehabilitation

Article Title: How wearable sensors have been utilised to evaluate frailty in older adults: a systematic review

doi: 10.1186/s12984-021-00909-0

Figure Lengend Snippet: Sensor details

Article Snippet: Martinez-Ramirez [ ] , MTx XSENS,Xsens Technologies B.V. Enschede, Netherlands Tri-axial accelerometer, gyroscope & magnetometer worn at L 3 combines nine individual MEMS sensors to provide drift-free 3D orientation as well as kinematic data: 3D acceleration, 3D (rate gyro) and 3D magnetometers , A wavelet-based algorithm using Fourier Technique, Wavelet Decomposition, Principal Component Analysis.

Techniques: Software, Sampling, Extraction, Activity Assay