Publications by authors named "Zareena Kausar"

Article Synopsis
  • Prosthetic arms help individuals with amputations perform daily tasks, but current technology faces challenges in motion prediction and rehabilitation for transhumeral amputees.
  • This study proposes a functional near-infrared spectroscopy (fNIRS) method to identify six specific upper limb motions by analyzing brain signals from both healthy individuals and transhumeral amputees.
  • By utilizing an artificial neural network on the collected fNIRS data, the approach achieved a classification accuracy of 78%, indicating promising potential for real-time control of transhumeral prostheses.
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Stability plays a vital role in any robotic system. Its significance increases in systems related to health and medicine. For rehabilitation devices meant for Spinal Cord Injury (SCI) patients, stability is crucial and key element in ensuring patient safety and the usefulness of the devices.

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