A Patient-Specific Single Sensor IoT-Based Wearable Fall Prediction and Detection System

@article{Saadeh2019APS,
  title={A Patient-Specific Single Sensor IoT-Based Wearable Fall Prediction and Detection System},
  author={Wala Saadeh and Saad Adnan Butt and M. Altaf},
  journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering},
  year={2019},
  volume={27},
  pages={995-1003}
}
  • Wala Saadeh, Saad Adnan Butt, M. Altaf
  • Published 2019
  • Computer Science, Medicine
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Falls in older adults are a major cause of morbidity and mortality and are a key class of preventable injuries. This paper presents a patient-specific (PS) fall prediction and detection prototype system that utilizes a single tri-axial accelerometer attached to the patient’s thigh to distinguish between activities of daily living (ADL) and fall events. The proposed system consists of two modes of operation: 1) fast mode for fall predication (FMFP) predicting a fall event (300–700 msec) before… CONTINUE READING
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