Akademik Veri Yönetim Sistemi
MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING, cilt.1, sa.1, ss.1-20, 2025 (SCI-Expanded)
This paper aims to comprehensively review patient performance assessment (PPA) methods used in assist-as-needed (AAN)
robotic therapy for upper extremity rehabilitation. AAN strategies adjust robotic assistance according to the patient’s performance,
aiming to enhance engagement and recovery in individuals with motor impairments. This review categorizes the
implemented PPA methods in the literature for the first time in such a wide scope and suggests future research directions
to improve adaptive and personalized therapy. At first, the studies are examined to evaluate PPA methods, which are subsequently
categorized according to their underlying implementation strategies: position error–based methods, force-based
methods, electromyography (EMG), electroencephalography (EEG)-based methods, performance indicator–based methods,
and physiological signal–based methods. The advantages and limitations of each method are discussed. In addition to the
classification of PPA methods, the current study also examines clinically tested AAN strategies applied in upper extremity
rehabilitation and their clinical outcomes. Clinical findings from these trials demonstrate the potential of AAN strategies in
improving motor function and patient engagement. Nevertheless, more extensive clinical testing is necessary to establish
the long-term benefits of these strategies over conventional therapies. Ultimately, this review aims to guide future developments
in the field of robotic rehabilitation, providing researchers with insights into optimizing AAN strategies for enhanced
patient outcomes.