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毫米波雷达(Millimeter Wave Radar, MWR)与中医望诊有无感观测的共同点,现有研究证实毫米波雷达应用于医学可以检测出呼吸与心率两大生命体征,除了呼吸与心率,还可通过测距、测速等识别出人体的动作等信号。从毫米波雷达测角、测距、识别人体生命体征等原理出发,根据其可检测到的信号结合望诊的神、色、形、态、面、目、情志、呼吸8个方面探讨二者的关系,基于毫米波雷达结合多种技术一同探测感知人体表现于外的体征,具有理论价值上的意义,并以期能为临床中对疾病的准确判断与迅速诊察作出贡献。
Abstract:Millimeter wave radar and traditional Chinese medicine observation have the same non-inductive observation in common. Existing studies have confirmed that the application of millimeter wave radar in medicine can detect the two vital signs of breathing and heart rate. In addition to breathing and heart rate, it also can identify human movements and other signals through ranging and speed measurement. Based on the principles of millimeter wave radar such as angle measurement, distance measurement and recognition of human vital signs, this paper discussed the relationship between the detected signals and the eight aspects of observation such as spirit, color, body, state, complexion, eyes, emotions and breath, and made theoretical innovations based on millimeter wave radar and various technologies to detect and sense human physical signs displayed outside, in the hope of contributing to the accurate judgment and rapid diagnosis of diseases in clinic.
[1] HE M,NIAN Y,GONG Y.Novel signal processing method for vital sign monitoring using FMCW radar[J].Biomedical Signal Processing & Control,2017,33(3):335-345.
[2] 刘震宇,李成光,王梓斌.基于改进奇异谱分析的毫米波生物雷达干扰抑制方法[J].广东工业大学学报,2024,41(1):47-54.
[3] 舒月,傅东宁,陈展野,等.基于RD-ANM的毫米波雷达动目标超分辨DOA估计方法[J].雷达学报,2023,12(5):986-999.
[4] 王金生,江城城,陈风月.基于毫米波雷达在汽车尾部盲区中的应用研究[J].汽车与配件,2023(23):66-68.
[5] 李牧,骆宇,柯熙政.基于调频连续波雷达的人体生命体征检测算法[J].计算机应用,2024,44(6):1978-1986.
[6] XIANG M X,REN W,LI W M,et al.High-Precision Vital Signs Monitoring Method Using a FMCW Millimeter-Wave Sensor[J].Sensors,2022(19):7543.
[7] TURPPA EMMI,KORTELAINEN JUHA M,ANTROPOV OLEG,et al.Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios[J].Sensors (Basel,Switzerland),2020(22):6505.
[8] 吴丹,杜燕,王永利.耳针联合疏肝活血汤剂对中风后抑郁患者神经功能和睡眠生活质量的影响[J].辽宁中医杂志,2024,51(7):160-164.
[9] 王浩,张兴敢.基于毫米波雷达的心音检测[J].现代电子技术,2023,46(23):12-18.
[10] SINGH LOVEDEEP,YOU SUNGJIN,JEONG BYUNG JANG,et al.Remote Estimation of Blood Pressure Using Millimeter-Wave Frequency-Modulated Continuous-Wave Radar[J].Sensors (Basel,Switzerland),2023(14):1402-1406.
[11] YANG J,LIU B Y,WANG B,Beobachtungsger t der traditionellen chinesischen Medizin mit verbundenem Millimeterwellen-Radar [J].München,2023(3):302.
[12] 顾兰秋,刘兰,吴波,等.耳针按压穴位联合毫米波治疗头面部带状疱疹80例疗效观察[C]//中国中西医结合学会皮肤性病专业委员会.2018全国中西医结合皮肤性病学术年会论文汇编,全国中西医结合皮肤性病学术年会,2018.
[13] 马长注.艾灸联合毫米波治疗仪对慢性支气管炎患者肺功能、炎症因子水平的影响[J].齐齐哈尔医学院学报,2019,40(8):939-941.
[14] 王舒怡,杨杰,田雨.基于数据科学的中医临床信息采集关键技术研究进展[J].中华中医药学刊,2024,42(3):10-18.
[15] 李思汉,夏淑洁,赵文,等.中医四诊信息采集的方法与原则 [J].天津中医药,2020,37 (3):266-269.
[16] 李灿东.中医诊断学[M].北京:中国中医药出版社,2016.
[17] 孙迪,鞠宝兆.《黄帝内经》“脉”相关双音节新词考析 [J].中国中医基础医学杂志,2021,27(2):192-194,211.
[18] 车俐,吕连辉,蒋留兵.AF-CenterNet:基于交叉注意力机制的毫米波雷达和相机融合的目标检测[J].计算机应用研究,2024,41(4):1258-1263.
[19] LONG N B,YAN H,WANG L Q,et al.Unifying Obstacle Detection,Recognition,and Fusion Based on the Polarization Color Stereo Camera and LiDAR for the ADAS[J].Sensors,2022(7):2453.
[20] 黄海,谢昊岩,黄驰程.基于人脸视频的逻辑多任务非接触心率估计[J].计算机工程与设计,2023,44(10):3179-3185.
[21] 钱帮豹.基于毫米波雷达的振动鲁棒眨眼检测系统[D].秦皇岛:燕山大学,2022.
[22] 郭进,刘康,张远辉.基于FMCW雷达微多普勒室内人体感知方法[J].激光杂志,2024,45(9):70-78.
[23] AKANKSHA BHUTANI,S REN MARAHRENS,MICHAEL GEHRINGER,et al.The Role of Millimeter-Waves in the Distance Measurement Accuracy of an FMCW Radar Sensor[J].Sensors,2019(18):3938.
[24] 张宏旺,周瑞,程宇,等.基于点云轨迹和压缩多普勒的跨场景手势识别[J].计算机科学,2024,51(2):182-188.
[25] YANG,SHANGYI,YOUNGOK KIM.Single 24-GHz FMCW RadarBased Indoor Device-Free Human Localization and Posture Sensing With CNN.[J].IEEE Sensors Journal,2022,23 (3):30593068.
[26] CHENG Y W,SU J R,CHEN H Y,et al.A new automotive radar 4D point clouds detector by using deep learning[C]// Proc.of the IEEE International Conference on Acoustics,Speech and Signal Processing,2021:8398-8402.
[27] 张明龙,吴雨林,魏文强,等.基于稀疏矩阵填充的级联毫米波雷达高分辨测角方法[J].系统工程与电子技术,2024,46(8):2629-2640.
[28] 曾科龙.基于毫米波雷达的情绪识别研究[D].重庆:西南大学,2023.
[29] DANG X C,CHEN Z T,HAO Z J,et al.Wireless Sensing Technology Combined with Facial Expression to Realize Multimodal Emotion Recognition[J].Sensors,2022(1):338.
[30] 李梦甜,司峰,尹斐,等.抑郁伴自杀意念大学生的心率变异性分析[J].中国学校卫生,2023,44(12):1839-1842,1847.
[31] LEE I,KIM D,WEE D,LEE S.An Efficient Human Instance-Guided Framework for Video Action Recognition[J].Sensors (Basel),2021,21(24):8309.
[32] GE H L,ZHU Z Y,DAI Y W,et al.Facial expression recognition based on deep learning[J].Computer Methods and Programs in Biomedicine,2022(prepublish):106621.
基本信息:
DOI:10.13193/j.issn.1673-7717.2025.09.004
中图分类号:TN958;R241
引用信息:
[1]王舒怡,田雨,刘红萍等.毫米波雷达与中医望诊多维多模态数据采集相关性探讨[J].中华中医药学刊,2025,43(09):16-20.DOI:10.13193/j.issn.1673-7717.2025.09.004.
基金信息:
国家重点研发计划项目(2017YFC1703502); 中国中医科学院科技创新工程(CI2021A05402);中国中医科学院中医药信息研究所科研项目(JY202301SJZX-2020YFC0845000)