首页> 外文期刊>Medical Devices: Evidence and Research >Physiological Vibration Acceleration (Phybrata) Sensor Assessment of Multi-System Physiological Impairments and Sensory Reweighting Following Concussion
【24h】

Physiological Vibration Acceleration (Phybrata) Sensor Assessment of Multi-System Physiological Impairments and Sensory Reweighting Following Concussion

机译:生理振动加速度(Phybrata)传感器评估多系统生理障碍和感官重新免除震荡

获取原文
           

摘要

Objective:To assess the utility of a head-mounted wearable inertial motion unit (IMU)-based physiological vibration acceleration ("phybrata") sensor to support the clinical diagnosis of concussion, classify and quantify specific concussion-induced physiological system impairments and sensory reweighting, and track individual patient recovery trajectories.Methods:Data were analyzed from 175 patients over a 12-month period at three clinical sites. Comprehensive clinical concussion assessments were first completed for all patients, followed by testing with the phybrata sensor. Phybrata time series data and spatial scatter plots, eyes open (Eo) and eyes closed (Ec) phybrata powers, average power (Eo Ec)/2, Ec/Eo phybrata power ratio, time-resolved phybrata spectral density (TRPSD) distributions, and receiver operating characteristic (ROC) curves are compared for individuals with no objective impairments and those clinically diagnosed with concussions and accompanying vestibular impairment, other neurological impairment, or both vestibular and neurological impairments. Finally, pre- and post-injury phybrata case report results are presented for a participant who was diagnosed with a concussion and subsequently monitored during treatment, rehabilitation, and return-to-activity clearance.Results:Phybrata data demonstrate distinct features and patterns for individuals with no discernable clinical impairments, diagnosed vestibular pathology, and diagnosed neurological pathology. ROC curves indicate that the average power (Eo Ec)/2 may be utilized to support clinical diagnosis of concussion, while Eo and Ec/Eo may be utilized as independent measures to confirm accompanying neurological and vestibular impairments, respectively. All 3 measures demonstrate area under the curve (AUC), sensitivity, and specificity above 90% for their respective diagnoses. Phybrata spectral analyses demonstrate utility for quantifying the severity of concussion-induced physiological impairments, sensory reweighting, and subsequent monitoring of improvements throughout treatment and rehabilitation.Conclusion:Phybrata testing assists with objective concussion diagnosis and provides an important adjunct to standard concussion assessment tools by objectively ascertaining neurological and vestibular impairments, guiding targeted rehabilitation strategies, monitoring recovery, and assisting with return-to-sport/work/learn decision-making.? 2020 Ralston et al.
机译:目的:评估头戴式可穿戴惯性运动单元(IMU)的生理振动加速度(“Phybrata”)传感器的效用,以支持脑震荡,分类和量化特异性脑震荡引起的生理系统损伤和感官重量的临床诊断,以及跟踪个体患者恢复轨迹。方法:在三个临床部位的12个月内从175名患者分析数据。所有患者首次完成综合临床脑震荡评估,然后用浮子传感器进行测试。 Phybrata时间序列数据和空间散射地块,眼睛开放(EO)和眼睛闭合(EC)浮网功率,平均功率(EO EC)/ 2,EC / EO浮网功率比,时间分辨植物谱密度(TRPSD)分布,比较没有客观障碍的个体的接收器操作特征(ROC)曲线,并且临床诊断脑脑诊断和随附的前庭障碍,其他神经损伤或前庭和神经障碍。最后,遵循的植物后和后期植物后植物案例报告结果呈现出脑脑诊断,随后在治疗,康复和返回活动清除期间被诊断出来的参与者。结果:普利特数据展示了个体的不同特征和模式没有可辨别的临床障碍,诊断前庭病理学,以及诊断的神经病理学。 ROC曲线表明,平均功率(EO EC)/ 2可用于支持脑震荡的临床诊断,而EO和EC / EO可以作为独立措施分别确认神经系统和前庭损伤。所有3次措施在其各自的诊断中展示曲线(AUC),敏感性和特异性的区域,敏感性和特异性。植物谱分析证明了量化脑震荡引起的生理障碍,感官重量和随后监测整个治疗和康复的改进的严重性。结论:浮桥测试有客观脑脑诊断,并通过客观地提供标准脑震荡评估工具的重要附件确定神经系统和前庭障碍,指导有针对性的康复策略,监测恢复,并协助回归运动/工作/学习决策。? 2020 Ralston等人。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号