{"title":"[用于监测帕金森病症状的商业设备:优点、局限性和趋势]。","authors":"D Rodríguez-Martín, C Pérez-López","doi":"10.33588/rn.7908.2024253","DOIUrl":null,"url":null,"abstract":"<p><p>Parkinson's disease (PD) is a neurodegenerative disorder that significantly affects patients' quality of life. Treatment of PD requires accurate assessment of motor and non-motor symptoms, which is often complicated by subjectivity in reporting symptoms, and the limited availability of neurologists. Commercial wearable devices, which monitor PD symptoms continuously and outside the clinical setting, have appeared to address these challenges. These devices include PKG™, Kinesia 360™, Kinesia U™, PDMonitor™ and STAT-ON™. These devices use advanced technologies, including accelerometers, gyroscopes and specific algorithms to provide objective data on motor symptoms, such as tremor, dyskinesia and bradykinesia. Despite their potential, the adoption of these devices has been limited, due to concerns about their accuracy, complexity of use and the lack of independent validation. The correlation between the measurements obtained from these devices and traditional clinical observations varies, and their usability and patient adherence are critical areas for improvement. Validation and usability studies with a sufficient number of patients, standardised protocols and integration with hospitals' IT systems are essential to optimise their usefulness and improve patient outcomes.</p>","PeriodicalId":21281,"journal":{"name":"Revista de neurologia","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Commercial devices for monitoring symptoms in Parkinson's disease: benefits, limitations and trends].\",\"authors\":\"D Rodríguez-Martín, C Pérez-López\",\"doi\":\"10.33588/rn.7908.2024253\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Parkinson's disease (PD) is a neurodegenerative disorder that significantly affects patients' quality of life. Treatment of PD requires accurate assessment of motor and non-motor symptoms, which is often complicated by subjectivity in reporting symptoms, and the limited availability of neurologists. Commercial wearable devices, which monitor PD symptoms continuously and outside the clinical setting, have appeared to address these challenges. These devices include PKG™, Kinesia 360™, Kinesia U™, PDMonitor™ and STAT-ON™. These devices use advanced technologies, including accelerometers, gyroscopes and specific algorithms to provide objective data on motor symptoms, such as tremor, dyskinesia and bradykinesia. Despite their potential, the adoption of these devices has been limited, due to concerns about their accuracy, complexity of use and the lack of independent validation. The correlation between the measurements obtained from these devices and traditional clinical observations varies, and their usability and patient adherence are critical areas for improvement. Validation and usability studies with a sufficient number of patients, standardised protocols and integration with hospitals' IT systems are essential to optimise their usefulness and improve patient outcomes.</p>\",\"PeriodicalId\":21281,\"journal\":{\"name\":\"Revista de neurologia\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2024-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista de neurologia\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.33588/rn.7908.2024253\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista de neurologia","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.33588/rn.7908.2024253","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
摘要
帕金森病(PD)是一种神经退行性疾病,严重影响患者的生活质量。帕金森病的治疗需要对运动症状和非运动症状进行准确评估,而症状报告的主观性和神经科医生的有限性往往使评估变得复杂。商业可穿戴设备可在临床环境之外持续监测帕金森氏症症状,目前已出现,以应对这些挑战。这些设备包括 PKG™、Kinesia 360™、Kinesia U™、PDMonitor™ 和 STAT-ON™。这些设备采用了先进的技术,包括加速计、陀螺仪和特定算法,可提供有关震颤、运动障碍和运动迟缓等运动症状的客观数据。尽管这些设备潜力巨大,但由于其准确性、使用复杂性和缺乏独立验证等问题,其应用一直受到限制。从这些设备获得的测量结果与传统临床观察结果之间的相关性各不相同,其可用性和患者依从性也是需要改进的关键领域。对足够数量的患者进行验证和可用性研究,制定标准化方案并与医院的 IT 系统集成,对于优化这些设备的实用性和改善患者预后至关重要。
[Commercial devices for monitoring symptoms in Parkinson's disease: benefits, limitations and trends].
Parkinson's disease (PD) is a neurodegenerative disorder that significantly affects patients' quality of life. Treatment of PD requires accurate assessment of motor and non-motor symptoms, which is often complicated by subjectivity in reporting symptoms, and the limited availability of neurologists. Commercial wearable devices, which monitor PD symptoms continuously and outside the clinical setting, have appeared to address these challenges. These devices include PKG™, Kinesia 360™, Kinesia U™, PDMonitor™ and STAT-ON™. These devices use advanced technologies, including accelerometers, gyroscopes and specific algorithms to provide objective data on motor symptoms, such as tremor, dyskinesia and bradykinesia. Despite their potential, the adoption of these devices has been limited, due to concerns about their accuracy, complexity of use and the lack of independent validation. The correlation between the measurements obtained from these devices and traditional clinical observations varies, and their usability and patient adherence are critical areas for improvement. Validation and usability studies with a sufficient number of patients, standardised protocols and integration with hospitals' IT systems are essential to optimise their usefulness and improve patient outcomes.