Renovo: A Sensor-Based Therapeutic System for Brachial Monoplegia.
2021
$Introduction:$ Patients with Brachial Monoplegia, paralysis of the upper limb following various neurological disorders, require therapeutic interventions with proper assessment for rehabilitation. State-of-the-art assessment protocols, the majority of which are qualitative, often cause biased assessment. Very few therapeutic systems aim to assist the physiotherapists in this regard. $Methods:$ We designed a sensor-based therapeutic system for assisting the physiotherapists with real-time visualization of Performance Metrics and a reliable quantitative assessment. 5 healthy subjects (Mean=24.4$\pm$2.4 years, 80% Male), 16 patients with Brachial Monoplegia (Mean=39.56$\pm$16.4 years, 76.92% Male), and 5 physiotherapists volunteered with informed consent. Each patient was evaluated by both the system and the physiotherapists in 3 sessions. $Results:$ Insignificant difference between the mean (t(15)=1.39, p=.184) and the variance (F(1, 15)=1.05, p=.460) of system evaluation (Mean=6.19, 95% CI, [4.52, 7.86]) and that of the physiotherapists (Mean=6.38, 95% CI, [4.75, 8.01]) having a strong, positive correlation, r=.9885 was observed. The system showed good reliability from the Cronbach's Alpha test, with $\alpha$=.8499. $Conclusions:$ To ensure effective rehabilitation, proper assessment is obligatory. Sensor-based measurement of performance metrics ensures reliability, reducing the chances of human error. Real-time visualization informs about patient's progress. Automated quantitative assessment reduces the possibility of bias, allowing optimization of rehabilitation scheme.
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