MbientLab's sensors have been powering researchers and scientists since 2013.
Below are some of the latest publications in the scientific community that have independently tested, validated, or used our products in medical applications.
Validation of wearable sensor performance for orientation tracking and evaluation of movement quality of the spine.
K. Beange, A. Chan, R. Graham - University of Ottawa
A novel Artificial Intelligence, powered mobile platform for home-based rehabilitation.
L. Moro, A. Mantoan, S. Lai, A.P. Bardelli, P. Cottone, L. Kubin - MAGIC PCP
A Preliminary Evaluation Of A Smart Exercise Application With Wearable Sensors.
E. Vasey, X. Li, T. Yoon, M. Jeon - Michigan Technological University,
Automatic gait feature extraction method for identifying gait asymmetry using wearable sensors.
A. Anwary, H. Yu, M. Vassallo - Bournemouth University
Monitoring Children and Elderly Using a WBAN.
F. Thamay, M. Morais - State University of Paraíba
Human Motion Modeling and Evaluating Using Wearable Sensor Devices.
N. N. Kelagote - University of Houston-Clear Lake
SensX: About Sensing and Assessment of Complex Human Motion.
A. Ebert, M. Kiermeier, C. Marouane, C. Linnhoff-Popienn - Ludwig-Maximilians-University
Novel positioning sensor with real-time feedback for improved postoperative positioning.
F. Brodie, D. Ramirez, S. Pandian, K. Woo, et la. - University of San Francisco, California Institute of Technology
Design, Development and Evaluation of an mHealth Application to Improve Adolescent Sleep Behaviour.
P. Vaidyanathan - University of Toronto