A Novel Adaptive, Real-Time Algorithm to Detect Gait Events From Wearable Sensors

@article{ChiaBejarano2015ANA,
  title={A Novel Adaptive, Real-Time Algorithm to Detect Gait Events From Wearable Sensors},
  author={Noelia Chia Bejarano and Emilia Ambrosini and Alessandra Laura Giulia Pedrocchi and Giancarlo Ferrigno and Marco Monticone and Simona Ferrante},
  journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering},
  year={2015},
  volume={23},
  pages={413-422}
}
A real-time, adaptive algorithm based on two inertial and magnetic sensors placed on the shanks was developed for gait-event detection. For each leg, the algorithm detected the Initial Contact (IC), as the minimum of the flexion/extension angle, and the End Contact (EC) and the Mid-Swing (MS), as minimum and maximum of the angular velocity, respectively. The algorithm consisted of calibration, real-time detection, and step-by-step update. Data collected from 22 healthy subjects (21 to 85 years… Expand
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