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Chinese Journal of Medical Instrumentation                                         2026年 第50卷 第2期

                                                     研   究   与   论   著


              文章编号：1671-7104(2026)02-0152-08

                    面向睡眠分期的生物雷达眼动检测方法可行性研究




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             【作     者】 雷婷伟 ，周源 ，柏明浩 ，段云亭 ，郭天娇 ，安强 ，刘澜涛 ，吕昊                      1
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                          1 空军军医大学 生物医学工程学系，西安市，710032
                          2 空军军医大学第一附属医院 放射诊断科，西安市，710032
             【摘     要】 该文针对现有生物雷达睡眠分期技术因使用间接生理特征导致的分类准确率较低问题，开展了基于生物雷
                          达睡眠眼动检测研究。通过搭建毫米波生物雷达与眼动图（electrooculogram, EOG）/多导睡眠图
                          （polysomnography, PSG）同步采集平台，分别开展模拟眼动实验和真实睡眠实验。在模拟眼动实验中，
                          生物雷达检测到的眼动信号与EOG信号的时域互相关系数超过0.90，频域主频率误差小于0.05 Hz；在真实
                          睡眠实验中，生物雷达同样检测到了与EOG一致的眼动信号，其在快速眼动期呈爆发性特征，在浅睡期呈
                          间歇性平滑起伏特征，在深睡期呈稳定低幅波动特征。实验结果表明，生物雷达可以有效检测并区分快速
                          眼动、慢速眼动、无明显眼动3种典型睡眠眼动事件，从而为基于生物雷达的睡眠分期提供一种新的技术途
                          径，有望进一步提升分期准确率。
             【关   键   词】 生物雷达；睡眠；眼动
             【中图分类号】 R318.6; TN911.7
             【文献标志码】 A                                                         doi: 10.12455/j.issn.1671-7104.250761
                  A Feasibility Study on Bioradar Eye Movement Detection for Sleep
                                                 Stage Classification

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             【   Authors  】 LEI Tingwei , ZHOU Yuan , BAI Minghao , DUAN Yunting , GUO Tianjiao , AN Qiang , LIU Lantao , LYU Hao 1
                          1 School of Biomedical Engineering, Air Force Medical University, Xi'an, 710032
                          2 Department of Diagnostic Radiology, the First Affiliated Hospital of Air Force Medical University, Xi'an,
                            710032
             【  Abstract  】 To  address  the  problem  of  low  classification  accuracy  in  existing  bioradar  sleep  staging  technology
                          caused by the use of indirect physiological features, research on bioradar sleep eye movement detection
                          is  conducted.  A  synchronous  acquisition  platform  for  millimeter-wave  bioradar  and  electrooculogram
                          (EOG)/polysomnography  (PSG)  is  established.  Simulated  eye  movement  experiments  and  real  sleep
                          experiments are carried out respectively. In the simulated eye movement experiments, the time-domain
                          cross-correlation coefficient between the eye movement signals detected by the bioradar and the EOG
                          signals  exceeds  0.90.  The  error  in  the  dominant  frequency  within  the  frequency  domain  is  less  than
                          0.05 Hz. In the real sleep experiments, eye movement signals consistent with EOG are also detected by
                          the  bioradar.  These  signals  exhibit  explosive  characteristics  in  the  rapid  eye  movement  period,
                          intermittent  smooth  fluctuation  characteristics  in  the  light  sleep  period,  and  stable  low-amplitude
                          fluctuation characteristics in the deep sleep period. The experimental results indicate that the bioradar
                          can  effectively  detect  and  distinguish  three  typical  sleep  eye  movement  events:  rapid  eye  movement,
                          slow  eye  movement,  and  no  significant  eye  movement.  This  provides  a  new  technical  approach  for
                          bioradar sleep staging, which holds promise for further improving staging accuracy.
             【Key words】 bioradar, sleep, eye movements


               0    引言                                          能，增加高血压、心脑血管疾病等慢性病风险                       [1-2]  ，
                                                                                     还与焦虑、抑郁及认知功能下降等心理问题密切相

                  睡眠约占人生的三分之一，其质量对身心健康                          关  [3-5] 。《中国健康睡眠报告（2025）》指出，约
              有深远影响。睡眠障碍不仅会损害多系统生理功                             65.91%的受访者存在睡眠困扰 。日益普遍的睡眠
                                                                                            [6]

                                                                问题催生了公众对睡眠健康的关注，也推动了睡眠
              收稿日期：2025-10-29                                   监测技术的进步。
              作者简介：雷婷伟，E-mail: leitingwei16@163.com
              通信作者：吕昊，E-mail: fmmulvhao@126.com                     多 导 睡 眠 图 （ polysomnography,  PSG） 作 为


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