目的：通过分析震颤患者的临床资料、震颤分析结果及最终诊断，以期明确震颤分析检查的意义并为 临床医生提供帮助。方法：按入排标准筛选 2022年1月～2024年1月在北京友谊医院神经内科肌电图室进 行震颤分析检查的患者，总结入组患者的临床资料及震颤分析结果，对原发性震颤和帕金森病2组患者的 临床资料和震颤分析结果进行对比，对其他震颤患者的临床资料和震颤分析结果进行总结。结果：本研究 共入组患者192例，其中原发性震颤103例（53.6%），帕金森病74例（38.5%），肌张力障碍4例（2.1%），周围 神经病后震颤 3 例（1.6%），直立性震颤 3 例（1.6%），增强的生理性震颤 4 例（2.1%）和多系统萎缩 1 例 （0.5%）。比较原发性震颤和帕金森病患者，结果显示2组患者的年龄、病程、是否存在家族史、起病部位、震 颤方式、收缩形式以及是否存在谐波等方面差异均存在统计学意义（P＜0.05）；2组在静止、姿势、意向、持物 1 kg情况下，震颤频率差异均存在统计学意义（P＜0.05），而震颤波幅差异均无统计学意义（P＞0.05）。结 论：本研究通过对震颤分析检查进行真实世界的研究，发现表现为震颤的疾病复杂多样，震颤分析是有效的 检查手段，特别是在原发性震颤和帕金森病的鉴别方面，有着重要价值。

By analyzing the clinical data, tremor analysis results, and final diagnoses of patients with tremor, this study aims to clarify the significance of tremor analysis and provide assistance for clinicians. Methods: Patients who underwent tremor analysis in the electromyography laboratory of the Neurology Department at Beijing Friendship Hospital from January 2022 to January 2024 were screened according to inclusion and exclusion criteria. Clinical data and tremor analysis results of enrolled patients were summarized. Comparisons were made between the clinical data and tremor analysis results of two groups--essential tremor (ET) and Parkinson's disease (PD)--while clinical and tremor analysis findings for other tremor patients were also summarized. Results: A total of 192 patients were enrolled in this study, including 103 cases of essential tremor (53.6% ), 74 cases of Parkinson's disease (38.5% ), 4 cases of dystonia (2.1% ), 3 cases of peripheral neuropathy-associated tremor (1.6% ), 3 cases of orthostatic tremor (1.6% ), 4 cases of enhanced physiological tremor (2.1%), and 1 case of multiple system atrophy (0.5%). Comparisons between ET and PD groups revealed statistically significant differences in age, disease duration, family history, onset site, tremor pattern, contraction form, and presence of harmonic components (P<0.05). Significant differences in tremor frequency were observed between the two groups under resting, postural, intentional, and 1 kg load conditions (P<0.05), while no significant differences in tremor amplitude were found (P>0.05). Conclusion: This real-world study on tremor analysis demonstrates the complexity and diversity of tremor-related disorders. Tremor analysis is a valuable diagnostic tool, particularly in differentiating between ET and PD.