{"title":"3D Printed Lens Antenna for Contactless Heartbeat and Respiration Detection Using mm-Wave Radar Sensing","authors":"Jiexin Lai, Yuehang Sun, Zhendong Luo, Yang Yang","doi":"10.1109/IMBioC52515.2022.9790127","DOIUrl":"https://doi.org/10.1109/IMBioC52515.2022.9790127","url":null,"abstract":"This paper proposes a 3D printed lens antenna for contactless heartbeat and respiration detection using the millimeter-wave (mm-wave) radar to improve the signal-to-noise ratio (SNR). The proposed device consists of an mm-wave radar and a 3D printed lens antenna. A 60 GHz pulsed coherent radar is integrated with the sensor module to receive reflected signals. A customized 3D printed lens is utilized to improve the directivity of radar radiation. In experiments, the proposed device can improve the SNR of the heartbeat and respiration and improve the accuracy of detected heartbeat and respiratory signals. The results prove the feasibility of the proposed solution in improving SNR for contactless heartbeat and respiration detection.","PeriodicalId":305829,"journal":{"name":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132658292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Physics-Informed Deep Learning for Time-Domain Electromagnetic Radiation Problem","authors":"Yingze Ge, Liangshuai Guo, Maokun Li","doi":"10.1109/IMBioC52515.2022.9790302","DOIUrl":"https://doi.org/10.1109/IMBioC52515.2022.9790302","url":null,"abstract":"We explore the application of physics-informed deep learning to solve time-domain electromagnetic problems. This method takes advantage of the differentiability of neural networks and fully integrated with first principles. Compared to traditional approach, there is no need of discretization. Numerical experiment verifies the accuracy of this scheme.","PeriodicalId":305829,"journal":{"name":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","volume":"64 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134160130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Non-Contact Calibration-Free Blood Pressure Estimation Method Using Dual Radar","authors":"Zhi Zheng, Bo Wang, Yongxin Guo","doi":"10.1109/IMBioC52515.2022.9790229","DOIUrl":"https://doi.org/10.1109/IMBioC52515.2022.9790229","url":null,"abstract":"In this paper, a non-contact calibration-free blood pressure (BP) estimation method using dual radar is proposed. 13 features are extracted from the radar-captured chest pulse and wrist pulse, which will be fed into the proposed artificial neural network for the calibration-free blood pressure estimation. A non-contact database containing 27 subjects is established to enhance the robustness of the model. The results of the experiments reveal that the proposed method can perform non-contact estimation accurately and attain grade B for systolic blood pressure (SBP) estimation and almost grade A for diastolic blood pressure (DBP) estimation according to the British Hypertension Society standard.","PeriodicalId":305829,"journal":{"name":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131547028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fariba Karimi, Sven Kühn, J. Xi, S. Reboux, A. Christ, A. Fallahi, Romain Meyer, N. Kuster
{"title":"Method and Implementations to Measure the Absorbed Power Density","authors":"Fariba Karimi, Sven Kühn, J. Xi, S. Reboux, A. Christ, A. Fallahi, Romain Meyer, N. Kuster","doi":"10.1109/IMBioC52515.2022.9790128","DOIUrl":"https://doi.org/10.1109/IMBioC52515.2022.9790128","url":null,"abstract":"We propose a dosimetric compliance test method and implementation with absorbed power density ($mathrm{S}_{ab}$) limits in the millimeter-wave frequency range. Compliance with the new international exposure limit, $mathrm{S}_{ab}$ is crucial for the introduction of 5G millimeter-wave communication systems worldwide. The proposed implementation can cover 10 GHz - 30 GHz $mathrm{S}_{ab}$ measurements with an uncertainty $< 1.7 text{dB} (mathrm{k}=2)$ and represents a realistic load to the transmitter during the test. The proposed method integrates with commercially available specific absorption rate (SAR) scanners.","PeriodicalId":305829,"journal":{"name":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133993473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Wearable Breath Detection Device Based on Capacitive Coupling","authors":"Yin Shengtong, Li Gen","doi":"10.1109/IMBioC52515.2022.9790105","DOIUrl":"https://doi.org/10.1109/IMBioC52515.2022.9790105","url":null,"abstract":"Human respiratory status information is not only of great significance in medical application, but also helps people monitor their own health status. The existing breath detection methods are mostly contact or invasive methods, which are easy to bring discomfort to users. In real life, using wireless and non-invasive equipment to monitor the respiratory process in real time has become more and more important, which can not only reduce the pain of patients, but also provide sufficient information for the early detection and diagnosis of diseases. The parallel plate is coupled with the human body to form a coupling capacitance. The small displacement of the electrode in the process of breathing movement will lead to the change of capacitance value. The change of capacitance value is directly related to the distance between the electrode and the skin. There is no direct contact between the sensor and the human body, so as to realize the non-contact detection of respiratory information. In the wearable respiratory detection device designed in this study, the capacitance signal coupled by the parallel plate and the abdomen is collected by the fdc2214 capacitance sensor chip and transmitted to the mobile phone app through the microcontroller through the wireless LAN, so as to realize the real-time detection of respiratory signal. Healthy volunteers were recruited to participate in the comparative monitoring experiment using the existing mode and capacitive coupling mode. The experimental results show that the proposed method can stably measure the breathing of the experimental object, correctly reflect the breathing frequency of the experimental object, and the measurement error is within 3%. The research shows that the output signal of capacitive coupling monitoring respiratory signal has good reliability and feasibility. The experimental self powered sensing device can be used for real-time, continuous and noninvasive monitoring of subtle muscle movement and human respiratory state.","PeriodicalId":305829,"journal":{"name":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125042255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Self-Injection-Locked (SIL) Radars Using Frequency Modulation (FM) Techniques for Concurrent Range and Vital Sign Monitoring","authors":"Fu-Kang Wang, Ji-Xun Zhong","doi":"10.1109/IMBioC52515.2022.9790174","DOIUrl":"https://doi.org/10.1109/IMBioC52515.2022.9790174","url":null,"abstract":"The self-injection-locked (SIL) radar introduced in 2009, has excellent sensitivity, stationary clutter cancelling capability, and low system complexity, and it continues to be a focus of research. This paper reviews several recent approaches that combine SIL and frequency-modulated continuous-wave (FMCW) techniques for simultaneous human localization and vital sign detection in health-care applications. In addition to describing the hardware architecture, the corresponding signal processing algorithms are summarized.","PeriodicalId":305829,"journal":{"name":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130373845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yiming Liu, Yueming Gao, Liting Chen, Z. Chen, S. Pun, M. Vai
{"title":"An Investigation on the Influence of Blood Volume in the Cardiac Cycle on Channel Gain of Intracardiac Communication Channels","authors":"Yiming Liu, Yueming Gao, Liting Chen, Z. Chen, S. Pun, M. Vai","doi":"10.1109/imbioc52515.2022.9790211","DOIUrl":"https://doi.org/10.1109/imbioc52515.2022.9790211","url":null,"abstract":"In galvanic coupling conductive intracardiac communication(GCCIC) of the leadless pacemaker, the electrical signal transmitted directly through the myocardium and blood is inevitably affected by the cardiac cycle. The existed research paid more attention to the effect of the myocardium during communication. However, experiments show the change of blood volume also has a great impact on signal transmission. In this paper, the cardiac cycle is divided into seven phases with different blood volumes periodically, and the signal gain is monitored through a homemade dynamic measurement platform with two peristaltic pumps and several silicone tubes. Through in vitro experiment of the porcine heart, the changes of two channel gains caused by the cardiac cycle are analyzed. The results show that channel gains change periodically with the change of blood volume in the cardiac cycle, and the change trends of the two channels are different because the signal paths in the two channels are different. For the Right Ventricle - Right Atrium channel, gain varies from −62 to −47 dB and channel gain is inversely correlated with blood volume. For the Right Ventricle - Left Ventricle channel, when blood volume is less than 80 mL, channel gain is about −51 dB. And when blood volume is greater than 80 mL, channel gain fluctuates around −48 dB. This study shows the gain of the intracardiac communication channel is affected by the change of blood volume in the cardiac cycle.","PeriodicalId":305829,"journal":{"name":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","volume":"23 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125784881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mingyi Yuan, Haidong Chen, Shuai Wang, C. Zhang, Weijie Lin, W. Che, Q. Xue
{"title":"Design of A Millimeter-wave physiotherapy system for the adjuvant therapy of leukocytopenia","authors":"Mingyi Yuan, Haidong Chen, Shuai Wang, C. Zhang, Weijie Lin, W. Che, Q. Xue","doi":"10.1109/IMBioC52515.2022.9790208","DOIUrl":"https://doi.org/10.1109/IMBioC52515.2022.9790208","url":null,"abstract":"Millimeter-wave therapy shows great potential in the treatment of leukocytopenia today. This paper proposes the design of a millimeter-wave physiotherapy system, which consists of a power module, a control module, and a radiation module. The tested results of the fabricated system show that the maximum output power is 14.27 dBm at the frequency of 37.57 GHz, while the whole power consumption is about 16 W. Experiments show that the system is simple and effective, and can provide design guidance for the engineering application of millimeter-wave physiotherapy instruments.","PeriodicalId":305829,"journal":{"name":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129030318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hongli Yan, Xu Yang, Xu Li, Yueming Gao, Ž. L. Vasić, M. Cifrek
{"title":"Finite element modeling and experimental analysis of bladder volume body surface monitoring method","authors":"Hongli Yan, Xu Yang, Xu Li, Yueming Gao, Ž. L. Vasić, M. Cifrek","doi":"10.1109/IMBioC52515.2022.9790299","DOIUrl":"https://doi.org/10.1109/IMBioC52515.2022.9790299","url":null,"abstract":"Bladder dysfunction seriously affects people's quality of life. The accumulation of urine volume in the bladder changes the bladder volume, which changes the impedance of the hypogastrium. This paper constructs a finite element model of the hypogastrium and bladder, and the impedance of the hypogastrium at different volumes of the bladder is obtained by simulation. It also explains the causes of bladder impedance changes based on the current density distribution and designs the impedance acquisition circuit to carry out experimental data measurements on the subjects. The results show that changes in bladder volume affect the amplitude and phase of impedance in the hypogastrium. The model proposed in this paper can provide a theoretical basis for bladder urine volume body surface monitoring.","PeriodicalId":305829,"journal":{"name":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127828963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pan Xu, Xu Yang, Hongli Yan, Ž. L. Vasić, M. Cifrek, Yueming Gao
{"title":"Grip force prediction based on changes in Brachioradialis Muscle Impedance","authors":"Pan Xu, Xu Yang, Hongli Yan, Ž. L. Vasić, M. Cifrek, Yueming Gao","doi":"10.1109/imbioc52515.2022.9790132","DOIUrl":"https://doi.org/10.1109/imbioc52515.2022.9790132","url":null,"abstract":"Grip force prediction plays an important role in biomechanical research, sports medicine, and clinical rehabilitation. Most of the current studies in this area only focuses on the characteristic input of surface Electromyography (sEMG) signals, but the acquisition and processing of sEMG are complicated and vulnerable to electromagnetic interference. The impedance signal has the advantages of easy acquisition and processing, strong anti-interference, non-invasive detection, and are widely used in the treatment of neuromuscular diseases. In this paper, impedance technique is introduced into grip force prediction. A single-frequency, low-intensity alternating current (AC) signal is injected into the brachioradialis muscle, and the change in muscle impedance is detected through the electrical effect of the electromagnetic field on biological tissue. Then, the correlation between impedance parameters and grip force changes is discussed, and the Long Short-Term Memory (LSTM) grip force prediction model is established with resistance (R) and phase (P) as feature inputs. The results show that the $r^{2}_score$ of the grip force prediction model is greater than 0.94 and the mean square error (MSE) is lower than 0.7. This paper restores the actual grip force based on the LSTM prediction model and provides a new implementation idea for grip force prediction.","PeriodicalId":305829,"journal":{"name":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128215077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}