AbstractAlthough heart rate variability (HRV) is a valid method to evaluate the behavior of the autonomic nervous system in individuals with temporomandibular disorder (TMD), the measurement can easily be biased by factors involving the analysis methodology, such as the removal of artifacts. Therefore, the objective of this investigation is to evaluate the impact of using different levels of threshold-based artifact correction to process HRV data in individuals with TMD.

摘要尽管心率变异性（HRV）是评估颞下颌关节紊乱病（TMD）患者自主神经系统行为的有效方法，但测量很容易受到涉及分析方法的因素的影响，例如伪影的去除。因此，本研究的目的是评估使用不同水平的基于阈值的伪影校正来处理TMD患者的HRV数据的影响。

This cross-sectional observational study. Adults aged 18 to 55 years old with a diagnosis of myogenic TMD, score ≥ 50 on the Fonseca Anamnestic Index (FAI) and pain ≥ 3 on the Numerical Pain Scale (NPS) participated. The HRV was registered in the supine position (short-term) using a Polar S810i. Kubios software was used for HRV analysis using all filters.

这项横断面观察性研究。诊断为肌源性TMD的18至55岁成年人，Fonseca记忆指数（FAI）得分≥50，数字疼痛量表（NPS）疼痛≥3。使用Polar S810i在仰卧位（短期）记录HRV。Kubios软件用于使用所有过滤器的HRV分析。

One-way ANOVA with Tukey-Kramer post-hoc was used to test the differences in HRV using the different Kubios Software artifact correction filters. The effect size was calculated based on the Cohen d. The very strong filter was statistically different (p < 0.05) compared to the no filter in all overview and time domain variables.

使用Tukey-Kramer事后单因素方差分析来测试使用不同Kubios软件伪影校正滤波器的HRV差异。基于Cohen d计算效应大小。在所有概述和时域变量中，与无滤波器相比，非常强的滤波器在统计学上是不同的（p<0.05）。

In the frequency domain, the variables VLF, LF, HF and Total Power showed statistical differences (p < 0.05) when using the very strong filter. The same occurred with the variables SD1, SD2 and DFA α2 of the non-linear analysis (p < 0.05). The most restrictive filter of the Kubios software (very strong) significantly impacts the quantification of HRV parameters in individuals with TMD..

在频域中，当使用非常强的滤波器时，变量VLF，LF，HF和总功率显示出统计学差异（p<0.05）。非线性分析的变量SD1，SD2和DFAα2也发生了同样的情况（p<0.05）。。。

IntroductionThe proof of the association between autonomic nervous system (ANS) and TMD has heightened the curiosity of clinicians and scientists to explore the impact of TMD on different outcomes involving autonomic balance, in addition to understanding the physiological mechanisms that justify such an association1,2,3.

引言自主神经系统（ANS）与TMD之间关联的证据提高了临床医生和科学家的好奇心，以探索TMD对涉及自主平衡的不同结果的影响，以及理解证明这种关联的生理机制1,2,3。

At first, it is important to highlight the causal relationship between the appearance of TMD and ANS dysfunction and vice versa4. Physiologically, the main mechanism that can minimally justify this interaction is associated with the chronic and persistent pain faced by this population, which ends up triggering high levels of stress and anxiety, among other factors that compromise the integrity of the ANS4.

首先，重要的是要强调TMD的出现与ANS功能障碍之间的因果关系，反之亦然4。在生理上，可以最小程度地证明这种相互作用的主要机制与该人群面临的慢性和持续性疼痛有关，最终引发高水平的压力和焦虑，以及其他影响ANS4完整性的因素。

An important aspect that deserves to be highlighted is the central sensitization present in this population manifested in the form of hypersensitivity to pain due to functional and structural changes in the somatosensory cortex and its association with disorders involving the ANS5,6.When it comes to the integrity of the ANS, some widely known methods are used to investigate the balance between the sympathetic and parasympathetic nervous systems in TMD1,2,5,7.

值得强调的一个重要方面是，由于体感皮层的功能和结构变化及其与涉及ANS5,6的疾病的关联，该人群中存在的中枢敏化表现为对疼痛的超敏反应。当涉及ANS的完整性时，一些广为人知的方法被用于研究TMD1,2,5,7中交感神经和副交感神经系统之间的平衡。

Among them, HRV has endorsed numerous scientific evidence due, mainly, to its non-invasive characteristic for acquiring information on cardiovascular health, more precisely on the autonomic axis that involves the brain and heart8. Although HRV is a valid method capable of reflecting and mathematically representing the nature of the ANS, the measurement can easily be biased by several factors involving individual (age and gender), physiological (stress and breathing), environmental (temperature and external noise), lifestyle (diet and cigarette use), psychological (anxiety and depression) and tech.

其中，HRV支持了许多科学证据，主要是由于其获取心血管健康信息的非侵入性特征，更准确地说是涉及大脑和心脏的自主轴8。虽然HRV是一种能够反映和数学表示ANS性质的有效方法，但测量很容易受到几个因素的影响，包括个人（年龄和性别），生理（压力和呼吸），环境（温度和外部噪音），生活方式（饮食和香烟使用），心理（焦虑和抑郁）和技术。

Data availability

数据可用性

The set of data generated and/or analyzed during the present study are available through the corresponding author upon reasonable request.

在本研究期间生成和/或分析的一组数据可通过通讯作者合理要求获得。

ReferencesCutrim, R. C. et al. Short-term heart rate variability at rest in individuals with temporomandibular disorder: a comparative analysis. Clin. Oral Investig. 27, 6559–6566 (2023).Article

参考文献Cutrim，R.C.等人。颞下颌关节紊乱病患者静息时短期心率变异性：比较分析。临床。口头调查。276559-6566（2023）。文章

PubMed

PubMed

Google Scholar

谷歌学者

Jeong, K. H., Kim, M. E. & Kim, H. K. Temporomandibular disorders and autonomic dysfunction: exploring the possible link between the two using a questionnaire survey. Cranio. 41, 467–477 (2023).Article

Jeong，K.H.，Kim，M.E。＆Kim，H.K。颞下颌关节紊乱病和自主神经功能障碍：使用问卷调查探索两者之间可能的联系。颅骨。41467-477（2023）。文章

PubMed

PubMed

Google Scholar

谷歌学者

Maixner, W. et al. Potential autonomic risk factors for chronic TMD: descriptive data and empirically identified domains from the OPPERA Case-Control Study. J. Pain. 12, T75 (2011).Article

Maixner，W.等人，《慢性TMD的潜在自主危险因素：OPPERA病例对照研究的描述性数据和经验性确定的领域》。J、 疼痛。12，T75（2011）。文章

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Cairns, B. E. The contribution of autonomic mechanisms to pain in temporomandibular disorders: a narrative review. J. Oral Rehabil. 49, 1115–1126 (2022).Article

Cairns，B.E。自主神经机制对颞下颌关节紊乱病疼痛的贡献：叙述性综述。J、 口腔康复。491115-1126（2022）。文章

PubMed

PubMed

Google Scholar

谷歌学者

Monaco, A. et al. Dysregulation of the autonomous nervous system in patients with temporomandibular disorder: a pupillometric study. PLoS One 7(9), e45424. https://doi.org/10.1371/journal.pone.0045424 (2012).Monaco, A., Cattaneo, R., Marci, M. C., Pietropaoli, D. & Ortu, E. Central sensitization-based classification for temporomandibular disorders: a pathogenetic hypothesis.

摩纳哥，A。等人。颞下颌关节紊乱病患者自主神经系统失调：瞳孔测量研究。PLoS One 7（9），e45424。https://doi.org/10.1371/journal.pone.0045424。Monaco，A.，Cattaneo，R.，Marci，M.C.，Pietropaoli，D。＆Ortu，E。基于中枢敏化的颞下颌关节紊乱分类：致病假说。

Pain Res. Manag. 2017, 5957076. https://doi.org/10.1155/2017/5957076 (2017).Zygmunt, A. & Stanczyk, J. Methods of evaluation of autonomic nervous system function. Arch. Med. Sci. 6, 11–18 (2010).Article .

疼痛管理。2017年，5957076。https://doi.org/10.1155/2017/5957076（2017年）。Zygmunt，A。＆Stanczyk，J。自主神经系统功能评估方法。拱门。医学科学。6，11-18（2010）。文章。

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Shaffer, F. & Ginsberg, J. P. An overview ofheart rate variability metrics and norms. Front. Public. Heal. 5, 258 (2017).Article

Shaffer，F。＆Ginsberg，J.P。心率变异性指标和规范概述。正面。公众。治愈。5258（2017）。文章

Google Scholar

谷歌学者

Catai, A. M. et al. Heart rate variability: are you using it properly? Standardisation checklist of procedures. Braz. J. Phys. Ther. 24, 91–102 (2020).Article

Catai，A.M.等人。心率变异性：你正确使用它吗？程序标准化检查表。钎焊。J、 物理。他们。24，91-102（2020）。文章

PubMed

PubMed

Google Scholar

谷歌学者

dos Ribeiro, G. Can RR intervals editing and selection techniques interfere with the analysis of heart rate variability? Braz. J. Phys. Ther. 22, 383–390 (2018).Article

dos Ribeiro，G。RR间期编辑和选择技术会干扰心率变异性的分析吗？钎焊。J、 物理。他们。22383-390（2018）。文章

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Tarvainen, M. P., Niskanen, J. P., Lipponen, J. A., Ranta-aho, P. O. & Karjalainen, P. A. Kubios HRV - Heart rate variability analysis software. Comput. Methods Programs Biomed. 113, 210–220 (2014).Article

Tarvainen，M.P.，Niskanen，J.P.，Lipponen，J.A.，Ranta aho，P.O。＆Karjalainen，P.A。Kubios HRV-心率变异性分析软件。计算机。方法程序Biomed。113210-220（2014）。文章

PubMed

PubMed

Google Scholar

谷歌学者

Alcantara, J. M. A. et al. Impact of using different levels of threshold-based artefact correction on the quantification of Heart Rate Variability in three independent human cohorts. J. Clin. Med. 9(2), 325. https://doi.org/10.3390/jcm9020325 (2020).Aranda, C., de la Cruz, B. & Naranjo, J.

。J、 临床。医学9（2），325。https://doi.org/10.3390/jcm9020325（2020年）。阿兰达，C.，德拉克鲁斯，B.&纳兰霍，J。

Effects of different automatic filters on the analysis of heart rate variability with Kubios HRV software. Arch. Med. Deport. 34, 196–200 (2017)..

不同自动过滤器对Kubios HRV软件心率变异性分析的影响。拱门。医学驱逐出境。34196-200（2017）。。

Google Scholar

谷歌学者

Chinthakanan, S. et al. Reduced heart rate variability and increased saliva cortisol in patients with TMD. Arch. Oral Biol. 90, 125–129 (2018).Article

Chinthakanan，S.等人降低了TMD患者的心率变异性并增加了唾液皮质醇。拱门。口腔生物学。90125-129（2018）。文章

PubMed

PubMed

Google Scholar

谷歌学者

Eze-Nliam, C. M., Quartana, P. J., Quain, A. M. & Smith, M. T. Nocturnal heart rate variability is lower in temporomandibular disorder patients tvhan in healthy, pain-free individuals. J. Oral Facial Pain Headache. 25, 232–239 (2011).

Eze-Nliam，C.M.，Quartana，P.J.，Quain，A.M。＆Smith，M.T。颞下颌关节紊乱病患者的夜间心率变异性低于健康，无痛的个体。J、 口腔面部疼痛头痛。25232-239（2011）。

Google Scholar

谷歌学者

Berni, K. C. S., Dibai-Filho, A. V., Pires, P. F. & Rodrigues-Bigaton, D. Accuracy of the surface electromyography RMS processing for the diagnosis of myogenous temporomandibular disorder. J. Electromyogr. Kinesiol. 25, 596–602 (2015).Article

Berni，K.C.S.，Dibai Filho，A.V.，Pires，P.F。＆Rodrigues-Bigaton，D。表面肌电图RMS处理诊断肌源性颞下颌关节紊乱的准确性。J、 肌电图。Kinesiol公司。25596-602（2015）。文章

PubMed

PubMed

Google Scholar

谷歌学者

Haefeli, M. & Elfering, A. Pain assessment. Eur. Spine J. 15, S17 (2006).Article

Haefeli，M。和Elfering，A。疼痛评估。欧洲脊柱杂志15，S17（2006）。文章

PubMed

PubMed

Google Scholar

谷歌学者

Chaves, T. C., de Oliveira, A. S. & Grossi, D. B. Principais instrumentos para avaliação da disfunção temporomandibular, parte I: índices e questionários; uma contribuição para a prática clínica e de pesquisa. Fisioter E Pesqui. 15, 92–100 (2008).Article

Chaves，T.C.，de Oliveira，A.S.&Grossi，D.B.颞下颌关节功能障碍评估的主要工具，第一部分：指标和问卷；对临床实践和研究的贡献。医生和Pesqui。15, 92–100 (2008).文章

Google Scholar

谷歌学者

Pires, P. F., de Castro, E. M., Pelai, E. B., de Arruda, A. B. C. & Rodrigues-Bigaton, D. Analysis of the accuracy and reliability of the short-form Fonseca Anamnestic Index in the diagnosis of myogenous temporomandibular disorder in women. Braz. J. Phys. Ther. 22, 276 (2018).Article .

Pires，P.F.，de Castro，E.M.，Pelai，E.B.，de Arruda，A.B.C.＆Rodrigues-Bigaton，D.分析简式Fonseca记忆指数在女性肌源性颞下颌关节紊乱病诊断中的准确性和可靠性。钎焊。J、 物理。他们。。文章。

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Arikan, H., Citaker, S. & Ucok, C. Psychometric properties of the Fonseca Anamnestic Index (FAI) for temporomandibular disorders: Turkish version, responsiveness, reliability, and validity study. Disabil. Rehabil. 46, 1408–1415 (2024).Article

Arikan，H.，Citaker，S。＆Ucok，C。用于颞下颌关节紊乱病的Fonseca记忆指数（FAI）的心理测量学特性：土耳其版本，反应性，可靠性和有效性研究。《康复障碍》，461408-1415（2024）。文章

PubMed

PubMed

Google Scholar

谷歌学者

Yap, A. U., Zhang, M. J., Lei, J. & Fu, K. Y. Accuracy of the Fonseca Anamnestic Index for identifying pain-related and/or intra-articular Temporomandibular disorders. Cranio. 42, 259–266 (2024).Article

Yap，A.U.，Zhang，M.J.，Lei，J。＆Fu，K.Y。Fonseca记忆指数用于识别疼痛相关和/或关节内颞下颌关节紊乱的准确性。颅骨。42259-266（2024）。文章

PubMed

PubMed

Google Scholar

谷歌学者

Stasiak, G. et al. TMD diagnosis: sensitivity and specificity of the Fonseca Anamnestic Index. Cranio. 41, 199–203 (2023).Article

Stasiak，G。等。TMD诊断：Fonseca记忆指数的敏感性和特异性。颅骨。41199-203（2023）。文章

PubMed

PubMed

Google Scholar

谷歌学者

Caumo, W. et al. The Central Sensitization Inventory validated and adapted for a Brazilian population: psychometric properties and its relationship with brain-derived neurotrophic factor. J. Pain Res. 10, 2109–2122 (2017).Article

Caumo，W.等人，《中央致敏量表》已针对巴西人群进行了验证和调整：心理测量特性及其与脑源性神经营养因子的关系。J、 Pain Res.102109–2122（2017）。文章

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Schuttert, I. et al. Validity of the Central Sensitization Inventory to address human assumed central sensitization: newly proposed clinically relevant values and associations. J. Clin. Med. 12, 12 (2023).Article

Schuttert，I。等人。中枢致敏量表解决人类假定中枢致敏的有效性：新提出的临床相关值和关联。J、 临床。医学12，12（2023）。文章

Google Scholar

谷歌学者

Sassi, R. et al. Advances in heart rate variability signal analysis: joint position statement by the e-Cardiology ESC Working Group and the European Heart Rhythm Association co-endorsed by the Asia Pacific Heart Rhythm Society. Europace. 17, 1341–1353 (2015).Article

Sassi，R.等人，《心率变异性信号分析的进展：e-Cardiology ESC工作组和亚太心律协会共同认可的欧洲心律协会的联合立场声明》。欧洲空间。171341-1353（2015）。文章

PubMed

PubMed

Google Scholar

谷歌学者

Cohen, J. Statistical power analysis for the behavioral sciences. Stat. Power Anal. Behav. Sci. https://doi.org/10.4324/9780203771587 (2013).Article

Cohen，J。行为科学的统计功效分析。统计功率分析。行为。科学。https://doi.org/10.4324/9780203771587（2013年）。文章

Google Scholar

谷歌学者

Rampazo, É. P., Rehder-Santos, P., Catai, A. M. & Liebano, R. E. Heart rate variability in adults with chronic musculoskeletal pain: a systematic review. Pain Pract. 24, 211–230 (2024).Article

爱荷华州兰帕佐。P、 ，Rehder Santos，P.，Catai，A.M。和Liebano，R.E。慢性肌肉骨骼疼痛成人的心率变异性：系统评价。疼痛实践。24211-230（2024）。文章

PubMed

PubMed

Google Scholar

谷歌学者

dos Ribeiro, G. Can RR intervals editing and selection techniques interfere with the analysis of heart rate variability? Braz. J. Phys. Ther. 22, 383 (2018).Article

dos Ribeiro，G。RR间期编辑和选择技术会干扰心率变异性的分析吗？钎焊。J、 物理。他们。22383（2018）。文章

PubMed

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Santos-de-Araújo, A. D. et al. Impact of different corrective filters on heart rate variability in chronic obstructive pulmonary disease: conclusions and recommendations for future research. Res. Biomed. Eng. 1–14. https://doi.org/10.1007/s42600-024-00368-1 (2024).Download referencesFundingThis study received no funding.

Santos de Araújo，A.D.等人。不同矫正过滤器对慢性阻塞性肺疾病心率变异性的影响：结论和对未来研究的建议。生物医学研究所。工程1-14。https://doi.org/10.1007/s42600-024-00368-1（2024年）。下载参考文献资助这项研究没有获得资助。

However, there is a great contribution from the Coordination of Superior Level Staff Improvement (CAPES) in the maintenance of graduate programs in Brazil. The funding source does not have any involvement in the study design, collection, analysis, data interpretation, report writing, nor in the decision to submit this article for publication.Author informationAuthors and AffiliationsPostgraduate Program in Dentistry, Ceuma University, São Luís, MA, BrazilRodrigo Costa Cutrim, Edna Cristina Pinheiro Ferreira & Daniela Bassi-DibaiDepartment of Physical Therapy, Federal University of São Carlos, São Carlos, SP, BrazilAldair Darlan Santos-de-Araújo & Cassius Iury Anselmo-e-SilvaPostgraduate Program in Management of Health Programs and Services, Ceuma University, São Luís, MA, BrazilTatyana Santana de Azevedo Silva & Daniela Bassi-DibaiPostgraduate Program in Adult Health, Federal University of Maranhão, São Luís, MA, BrazilAlmir Vieira Dibai-FilhoDepartment of Physical Therapy, Ceuma University, São Luís, MA, BrazilDaniela Bassi-DibaiPostgraduate Program in Programs Management and Health Services, Ceuma University, Rua Josué Montello, 1, Jardim Renascença, São Luís, 65075-120, MA, BrazilDaniela Bassi-DibaiAuthorsRodrigo Costa CutrimView author publicationsYou can also search for this author in.

然而，在巴西维持研究生课程方面，上级员工改进（CAPES）的协调做出了巨大贡献。资金来源不参与研究设计，收集，分析，数据解释，报告撰写，也不参与提交本文发表的决定。作者信息作者和附属机构切马大学牙科研究生课程，马萨诸塞州圣路易斯，巴西罗德里戈·科斯塔·库特里姆，埃德娜·克里斯蒂娜·皮涅罗·费雷拉和丹尼尔·巴西·迪拜德物理治疗系，圣卡洛斯联邦大学，圣卡洛斯，SP，巴西达兰·桑托斯·德阿劳霍和卡西乌斯·尤里·安塞尔莫·e-Silvastgraduate prograduate in Management of Health programmes and Services，切马大学，马萨诸塞州圣路易斯，巴西塔迪亚纳·桑塔纳·德阿泽维多·席尔瓦和丹尼尔·巴西拉I迪拜成人健康研究生课程，马萨诸塞州圣卢西亚马兰芒联邦大学，巴西米尔·维埃拉·迪拜·菲尔霍物理治疗系，马萨诸塞州圣卢西亚库马大学，巴西丹尼尔·巴西·迪拜项目管理和健康服务研究生课程，库马大学，鲁阿·若苏埃·蒙特罗，1，Jardim Renascença，São LuíS，65075-120，MA，巴西丹尼尔·巴西·迪拜作者Rodrigo Costa CutrimView作者出版物您也可以在是的。

PubMed Google ScholarAldair Darlan Santos-de-AraújoView author publicationsYou can also search for this author in

PubMed Google ScholarAldair Darlan Santos de AraújoView作者出版物您也可以在

PubMed Google ScholarCassius Iury Anselmo-e-SilvaView author publicationsYou can also search for this author in

PubMed Google ScholarCassius Iury Anselmo-e-SilvaView作者出版物您也可以在

PubMed Google ScholarEdna Cristina Pinheiro FerreiraView author publicationsYou can also search for this author in

PubMed Google ScholarTatyana Santana de Azevedo SilvaView author publicationsYou can also search for this author in

PubMed Google ScholarTatyana Santana de Azevedo SilvaView作者出版物您也可以在

PubMed Google ScholarAlmir Vieira Dibai-FilhoView author publicationsYou can also search for this author in

PubMed谷歌学者维埃拉·迪拜·菲尔霍维（VieiraDibaiFilhoview）作者出版物您也可以在

PubMed Google ScholarDaniela Bassi-DibaiView author publicationsYou can also search for this author in

PubMed Google ScholarDaniela Bassi DibaiView作者出版物您也可以在

PubMed Google ScholarContributionsStudy design: RCC, ADS, CIA, ECPF, TSAS, AVD, DB. Conceptualization: RCC, ADS, CIA, ECPF, TSAS, AVD, DB. Methodology: RCC, ADS, CIA, ECPF, TSAS, AVD, DB. Data collection: RCC, ADS, CIA, ECPF, TSAS, AVD, DB. Data analysis and interpretation: RCC, ADS, CIA, ECPF, TSAS, AVD, DB.

。概念化：RCC，ADS，CIA，ECPF，TSAS，AVD，DB。方法：RCC，ADS，CIA，ECPF，TSAS，AVD，DB。数据收集：RCC，ADS，CIA，ECPF，TSAS，AVD，DB。数据分析和解释：RCC，ADS，CIA，ECPF，TSAS，AVD，DB。

Initial manuscript writing: RCC, ADS, CIA, ECPF, TSAS, AVD, DB. All the authors read and approved the final manuscript.Corresponding authorCorrespondence to.

初稿撰写：RCC，ADS，CIA，ECPF，TSAS，AVD，DB。所有作者都阅读并批准了最终手稿。对应作者对应。

Daniela Bassi-Dibai.Ethics declarations

Daniela Bassi Dibai。道德宣言

Competing interests

相互竞争的利益

The authors declare no competing interests.

作者声明没有利益冲突。

Ethical approval

道德认可

(This study was approved by the Ethics Committee on Research of Ceuma University (report n. 5.674.373).

（这项研究得到了丘马大学研究伦理委员会的批准（报告编号5.674.373）。

Consent to participate

同意参与

An informed consent was obtained from all the individuals included in the study.

获得了研究中所有个人的知情同意。

Additional informationPublisher’s noteSpringer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.Rights and permissions

Additional informationPublisher的noteSpringer Nature在已发布地图和机构隶属关系中的管辖权主张方面保持中立。权限和权限

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

开放获取本文是根据知识共享署名4.0国际许可证授权的，该许可证允许以任何媒体或格式使用，共享，改编，分发和复制，只要您对原始作者和来源给予适当的信任，提供知识共享许可证的链接，并指出是否进行了更改。

The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

本文中的图像或其他第三方材料包含在文章的知识共享许可中，除非在材料的信用额度中另有说明。如果材料未包含在文章的知识共享许可证中，并且您的预期用途未被法律法规允许或超出允许的用途，则您需要直接获得版权所有者的许可。

To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/..

要查看此许可证的副本，请访问http://creativecommons.org/licenses/by/4.0/..

Reprints and permissionsAbout this articleCite this articleCutrim, R.C., Santos-de-Araújo, A.D., Anselmo-e-Silva, C.I. et al. Impact of applying different levels of threshold-based artifact correction on the processing of heart rate variability data in individuals with temporomandibular disorder.

转载和许可本文引用本文Cutrim，R.C.，Santos de Araújo，A.D.，Anselmo-e-Silva，C.I.等人。应用不同水平的基于阈值的伪影校正对颞下颌关节紊乱病患者心率变异性数据处理的影响。

Sci Rep 14, 24569 (2024). https://doi.org/10.1038/s41598-024-76287-zDownload citationReceived: 18 July 2024Accepted: 11 October 2024Published: 19 October 2024DOI: https://doi.org/10.1038/s41598-024-76287-zShare this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard.

Sci Rep 1424569（2024）。https://doi.org/10.1038/s41598-024-76287-zDownload引文收到日期：2024年7月18日接受日期：2024年10月11日发布日期：2024年10月19日OI：https://doi.org/10.1038/s41598-024-76287-zShare本文与您共享以下链接的任何人都可以阅读此内容：获取可共享链接对不起，本文目前没有可共享的链接。复制到剪贴板。

Provided by the Springer Nature SharedIt content-sharing initiative

由Springer Nature SharedIt内容共享计划提供

KeywordsTemporomandibular disorderAutonomic nervous systemHeart rate variability

关键词颞下颌关节紊乱自主神经系统心率变异性