Angana Saikia

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About

Angana Saikia’s research lies at the intersection of rehabilitation robotics, biomedical signal processing, and assistive technology, with a focused drive to restore function and independence for upper limb amputees and individuals with motor disabilities. Her most cited work, *“Recent advancements in prosthetic hand technology”* (2016, 42 citations), provides a critical synthesis of how breakthroughs in robotics, artificial intelligence, and cognitive science have propelled the development of sophisticated bio-mimetic prosthetic systems. This review has served as a foundational resource for researchers seeking to understand the trajectory of modern prosthetic design. Saikia’s experimental contributions are equally significant. In *“Comparative study and feature extraction of the muscle activity patterns in healthy subjects”* (2016, 8 citations), she explores how the human brain’s remarkable control over the hand can be decoded through bio-signals, laying groundwork for intuitive prosthetic control. Her work *“Determination of significant muscle in movement of upper limb using maximum voluntary contraction of EMG signal”* (2017, 4 citations) introduces a comparative methodology using electromyography (EMG) to identify key muscles during upper limb movement, specifically analyzing Maximum Voluntary Contraction across adults aged 30–60. This research offers practical benchmarks for designing more responsive, user-specific rehabilitation robots. Saikia’s contributions are steadily building a bridge between neural signal analysis and tangible assistive devices.