Deep learning approaches for detecting freezing of gait in parkinson’s disease patients through on-body acceleration sensors

HIGHLIGHTS

• who: Luis Sigcha and colleagues from the Universidad Politécnica Madrid, Campus Sur UPM, CtraValencia, Km, Madrid, Spain have published the research: Deep Learning Approaches for Detecting Freezing of Gait in Parkinson’s Disease Patients through On-Body Acceleration Sensors, in the Journal: Sensors 2020, 20, 1895 of /2020/
• what: This approach shows that frequency-based features could be used reliably to detect FOG using a single sensor. The model proposed was trained using 9-channel signals recorded from a waist-worn IMU with three tri-axial sensors: accelerometer, gyroscope, and magnetometer. In this work . . .
  

   

  

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