Barometric Pressure and Triaxial Accelerometry-Based Falls Event Detection

  title={Barometric Pressure and Triaxial Accelerometry-Based Falls Event Detection},
  author={Federico Bianchi and Stephen James Redmond and M. K. Ratheesh Narayanan and Sergio Cerutti and N. H. Lovell},
  journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering},
Falls and fall related injuries are a significant cause of morbidity, disability, and health care utilization, particularly among the age group of 65 years and over. The ability to detect falls events in an unsupervised manner would lead to improved prognoses for falls victims. Several wearable accelerometry and gyroscope-based falls detection devices have been described in the literature; however, they all suffer from unacceptable false positive rates. This paper investigates the augmentation… CONTINUE READING
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