Background: Patients with Brachial Monoplegia (BM), 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. Aim: To design a sensor-based assistive technology for the physiotherapists, facilitating a reliable quantitative assessment with real-time visualization of Performance Metrics (PM). Method: 5 healthy subjects (Mean=24.4$\pm$2.4 years, 80% Male), 16 patients with BM (Mean=39.56$\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 and Significance: To ensure effective rehabilitation, proper assessment is obligatory. Sensor-based measurement of PM 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.

中文翻译：

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Renovo：一种基于传感器的肱肌单瘫治疗系统

背景：臂单麻痹 (BM) 患者在各种神经系统疾病后出现上肢瘫痪，需要治疗干预并进行适当的康复评估。最先进的评估协议，其中大部分是定性的，通常会导致有偏见的评估。很少有治疗系统旨在在这方面协助物理治疗师。目标：为物理治疗师设计一种基于传感器的辅助技术，通过性能指标 (PM) 的实时可视化促进可靠的定量评估。方法：5 名健康受试者（平均 = 24.4$\pm$2.4 岁，80% 男性），16 名 BM 患者（平均 =39.56$\pm$16.4 岁，76.92% 男性）和 5 名物理治疗师自愿在知情同意下进行。系统和物理治疗师分 3 次对每位患者进行评估。结果：系统评估的平均值 (t(15)=1.39, p=.184) 和方差 (F(1, 15)=1.05, p=.460) 之间的差异不显着（平均值=6.19，95% CI，[4.52 , 7.86]) 和物理治疗师 (平均值 = 6.38, 95% CI, [4.75, 8.01]) 具有很强的正相关性，观察到 r=.9885。该系统在 Cronbach's Alpha 检验中显示出良好的可靠性，$\alpha$=.8499。结论和意义：为了确保有效的康复，必须进行适当的评估。基于传感器的 PM 测量可确保可靠性，减少人为错误的机会。实时可视化告知患者的进展。自动定量评估降低了偏差的可能性，从而优化了康复计划。460) 的系统评估 (平均值 = 6.19, 95% CI, [4.52, 7.86]) 和物理治疗师 (平均值 = 6.38, 95% CI, [4.75, 8.01]) 具有很强的正相关, r =。观察到 9885。该系统在 Cronbach's Alpha 检验中显示出良好的可靠性，$\alpha$=.8499。结论和意义：为了确保有效的康复，必须进行适当的评估。基于传感器的 PM 测量可确保可靠性，减少人为错误的机会。实时可视化告知患者的进展。自动定量评估降低了偏差的可能性，从而优化了康复计划。460) 的系统评估 (平均值 = 6.19, 95% CI, [4.52, 7.86]) 和物理治疗师 (平均值 = 6.38, 95% CI, [4.75, 8.01]) 具有很强的正相关, r =。观察到 9885。该系统在 Cronbach's Alpha 检验中显示出良好的可靠性，$\alpha$=.8499。结论和意义：为了确保有效的康复，必须进行适当的评估。基于传感器的 PM 测量可确保可靠性，减少人为错误的机会。实时可视化告知患者的进展。自动定量评估降低了偏差的可能性，从而优化了康复计划。该系统在 Cronbach's Alpha 检验中显示出良好的可靠性，$\alpha$=.8499。结论和意义：为了确保有效的康复，必须进行适当的评估。基于传感器的 PM 测量可确保可靠性，减少人为错误的机会。实时可视化告知患者的进展。自动定量评估降低了偏差的可能性，从而优化了康复计划。该系统在 Cronbach's Alpha 检验中显示出良好的可靠性，$\alpha$=.8499。结论和意义：为了确保有效的康复，必须进行适当的评估。基于传感器的 PM 测量可确保可靠性，减少人为错误的机会。实时可视化告知患者的进展。自动定量评估降低了偏差的可能性，从而优化了康复计划。