Ruta Paranjape- Binghamton University
Ruta Paranjape
- Binghamton University
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9
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Publications
Publications (9)
Brain-machine interfaces (BMI) based on scalp EEG have the potential to promote cortical plasticity following stroke, which has been shown to improve motor recovery outcomes. However, the efficacy of BMI enabled robotic training for upper-limb recovery is seldom quantified using clinical, EEG-based, and kinematics-based metrics. Further, a movement...
Background: Brain-machine interfaces (BMI) based on scalp electroencephalography (EEG) have the potential to promote cortical plasticity following stroke, which has been shown to improve motor recovery outcomes. However, clinical efficacy of BMI-enabled robotic rehabilitation in chronic stroke population is confounded by the spectrum of motor impai...
This paper presents the preliminary findings of a multi-year clinical study evaluating the effectiveness of adding a brain-machine interface (BMI) to the MAHI-Exo II, a robotic upper limb exoskeleton, for elbow flexion/extension rehabilitation in chronic stroke survivors. The BMI was used to trigger robot motion when movement intention was detected...
Learned non-use (LNU) is common after stroke and manifests when persons with stroke spontaneously use their stronger less-impaired arm despite residual functional abilities in the impaired arm. This tendency of under utilizing the impaired arm slows down the re-acquisition of bilateral coordination on activities of daily living. We wanted to examin...
Rising healthcare costs combined with an increase in the number of people living with disabilities due to stroke have created a need for affordable stroke therapy that can be administered in both home and clinical environments. Studies show that robot and computer-assisted devices are promising tools for rehabilitating persons with impairment and d...
Learned nonuse is often seen in stroke survivors with hemiparesis. In these cases, stroke survivors exhibit a bias for using the less impaired arm on daily living tasks despite latent functionality as measured by clinical motor function. We used the TheraDrive system, a low-cost, stroke rehabilitation system using commercial force-feedback steering...
