Article(id=1208791312871060294, tenantId=1146029695717560320, journalId=1189873630562394117, issueId=1208791311621157694, articleNumber=null, orderNo=null, doi=10.11855/j.issn.0577-7402.2021.11.09, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1625155200000, receivedDateStr=2021-07-02, revisedDate=1630857600000, revisedDateStr=2021-09-06, acceptedDate=null, acceptedDateStr=null, onlineDate=1766127907245, onlineDateStr=2025-12-19, pubDate=1638028800000, pubDateStr=2021-11-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1766127907245, onlineIssueDateStr=2025-12-19, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1766127907245, creator=13701087609, updateTime=1766127907245, updator=13701087609, issue=Issue{id=1208791311621157694, tenantId=1146029695717560320, journalId=1189873630562394117, year='2021', volume='46', issue='11', pageStart='1061', pageEnd='1164', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=0, createTime=1766127906946, creator=13701087609, updateTime=1766128932678, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1208795613920104935, tenantId=1146029695717560320, journalId=1189873630562394117, issueId=1208791311621157694, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1208795613920104936, tenantId=1146029695717560320, journalId=1189873630562394117, issueId=1208791311621157694, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=1118, endPage=1122, ext={EN=ArticleExt(id=1208791313210798921, articleId=1208791312871060294, tenantId=1146029695717560320, journalId=1189873630562394117, language=EN, title=Accuracy evauation of heart rate variability measured by functional near-infrared spectroscopy, columnId=1190310110212751762, journalTitle=Medical Journal of Chinese People’s Liberation Army, columnName=Basic Research, runingTitle=null, highlight=null, articleAbstract=

Objective To evaluate the accuracy of applying functional near-infrared spectroscopy (fNIRS) for measurement of short-term heart rate variability (HRV). Methods Sixteen college students were recruited from Wuhan University and surrounding universities as the volunteer subjects from October 2020 to September 2021. The short-term HRV of subjects in resting state was simultaneously measured with electrocardiogram (ECG) and fNIRS. The consistency of the results measured with fNIRS on the forehead and at the finger was evaluated; and the accuracy of fNIRS measurements was assessed using the result of ECG measurement as the golden standard. Results No statistically significant differences existed between the fNIRS measurements on the forehead and at the finger in these short-term HRV parameters including sympathetic nervous system index(SNS index), parasympathetic nervous system index (PNS index), pressure index, Mean RR, standard deviation of normal-to-normal RR intervals (SDNN), triangular interpolation of normal-to-normal intervals (TINN), approximate entropy (ApEn) and sample entropy (SampEn). Excepting for the entropy parameters (ApEn: P<0.05 and SampEn: P<0.01) that are for measuring the complexity of time series, no statistically significant differences were observed in most short-term HRV parameters (PNS index, SNS index, pressure index, Mean RR, SDNN and TINN) between the fNIRS measurements and the ECG golden standard. Conclusion With satisfactory accuracy, it is feasible to use fNIRS in measuring short-term HRV.

, correspAuthors=Ke-Hong Long, authorNote=null, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=Ning-Xin Wang, Xu-Zhe Zhang, Hao Lei, Ke-Hong Long), CN=ArticleExt(id=1208791313978356584, articleId=1208791312871060294, tenantId=1146029695717560320, journalId=1189873630562394117, language=CN, title=功能近红外光谱技术测量短时心率变异性的准确性评估, columnId=1208518758491099297, journalTitle=解放军医学杂志, columnName=论著, runingTitle=null, highlight=null, articleAbstract=

目的 评估利用功能近红外光谱(fNIRS)测量短时心率变异性(HRV)的准确性。方法 纳入2020年10月—2021年9月武汉大学及其周边高校的16名在校学生作为被试志愿者。利用心电图(ECG)与fNIRS同步测量被试志愿者在静息状态下的短时HRV；评估fNIRS在头部与手指处所测结果的一致性；以心电图结果为金标准，评估fNIRS测量结果的准确性。结果 fNIRS在头部与手指处所测得的短时HRV参数[交感神经指数(SNS指数)、副交感神经指数(PNS指数)、压力指数、RR间期的平均值(Mean RR)、RR间期的标准差(SDNN)、RR间期直方图的底宽(TINN)、近似熵(ApEn)、样本熵(SampEn)]差异均无统计学意义；除衡量时间序列复杂度的熵参数ApEn(P<0.05)和SampEn(P<0.01)外，fNIRS所测得的短时HRV参数(PNS指数、SNS指数、压力指数、Mean RR、SDNN、TINN)与ECG金标准间差异也无统计学意义。结论 利用fNIRS数据测量短时HRV具有可行性和良好的准确性。

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²Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1208791314708165541, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1208791312871060294, authorId=1208791314557170578, language=CN, stringName=王宁馨, firstName=宁馨, middleName=null, lastName=王, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=¹武汉磁共振中心(中国科学院精密测量科学与技术创新研究院)波谱与原子分子物理国家重点实验室，武汉 430071
²华中科技大学武汉光电国家研究中心，武汉 430074, bio={"content":"

王宁馨，硕士研究生，主要从事功能近红外光谱相关的心率变异性检测方面的研究

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王宁馨，硕士研究生，主要从事功能近红外光谱相关的心率变异性检测方面的研究

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²华中科技大学武汉光电国家研究中心，武汉 430074
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A. 脑部fNIRS光极的分布与通道的构成，其中S1代表光源，D1-D4代表接收器，C1-C4代表通道；B. fNIRS通道在大脑皮质的映射位置，其中1-4分别代表通道C1-C4在大脑皮质的位置

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fNIRS. 功能近红外光谱；HRV. 心率变异性；ECG. ECG测量的HRV；fNIRS头部. fNIRS头部测量的HRV；fNIRS手指. fNIRS手指测量的HRV。PNS指数. 副交感神经指数；SNS指数. 交感神经指数；Mean RR. RR间期的平均值；SDNN. RR间期的标准差；TINN. RR间期直方图的底宽；ApEn. 近似熵；SampEn. 样本熵。与ECG组比较，(1)P<0.05，(2)P<0.01。

, figureFileSmall=kuCr+0EZmvjv9WR2AZ6CiA==, figureFileBig=NL9kfZMr8mRDffwfMD1RAg==, tableContent=null), ArticleFig(id=1208791317765812233, tenantId=1146029695717560320, journalId=1189873630562394117, articleId=1208791312871060294, language=EN, label=Tab. 1, caption=

Comparison of short-term HRV parameters measured by fNIRS at the finger and on the forehead in resting state

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HRV参数	fNIRS手指	fNIRS头部	t	P
PNS指数	-0.70±0.83	-0.75±0.78	0.82	0.43
SNS指数	0.86±0.85	0.97±0.86	-1.50	0.15
SDNN(ms)	38.63±14.66	37.45±13.04	0.84	0.41
TINN(ms)	268.75±85.95	267.14±69.54	0.06	0.95
压力指数	9.58±2.67	10.36±2.34	-1.22	0.24
Mean RR(ms)	763.09±112.55	764.98±107.41	-1.02	0.32
ApEn	1.14±0.15	1.15±0.15	-0.55	0.59
SampEn	1.21±0.24	1.20±0.24	0.80	0.44

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静息态下fNIRS在手指与头部测量的短时HRV参数比较

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HRV参数	fNIRS手指	fNIRS头部	t	P
PNS指数	-0.70±0.83	-0.75±0.78	0.82	0.43
SNS指数	0.86±0.85	0.97±0.86	-1.50	0.15
SDNN(ms)	38.63±14.66	37.45±13.04	0.84	0.41
TINN(ms)	268.75±85.95	267.14±69.54	0.06	0.95
压力指数	9.58±2.67	10.36±2.34	-1.22	0.24
Mean RR(ms)	763.09±112.55	764.98±107.41	-1.02	0.32
ApEn	1.14±0.15	1.15±0.15	-0.55	0.59
SampEn	1.21±0.24	1.20±0.24	0.80	0.44

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