High-Sensitivity Electric Potential Sensors for Non-Contact Monitoring of Physiological Signals

The paper describes highly-sensitive passive electric potential sensors (EPS) for non-contact detection of multiple biophysical signals, including electrocardiogram (ECG), respiration cycle (RC), and electroencephalogram (EEG). The proposed EPS uses an optimized transimpedance amplifier (TIA), a single guarded sensing electrode, and an adaptive cancellation loop (ACL) to maximize sensitivity (DC transimpedance $= 150\,\,\text{G}\Omega $ ) in the presence of power line interference (PLI) and motion artifacts. Tests were performed on healthy adult volunteers in noisy and unshielded indoor environments. Useful sensing ranges for ECG, RC, and EEG measurements, as validated against reference contact sensors, were observed to be approximately 50 cm, 100 cm, and 5 cm, respectively. ECG and RC signals were also successfully measured through wooden tables for subjects in sleep-like postures. The EPS were integrated with a wireless microcontroller to realize wireless sensor nodes capable of streaming acquired data to a remote base station in real-time.

[1]  Kanad Ghose,et al.  Heart Monitor Using Flexible Capacitive ECG Electrodes , 2020, IEEE Transactions on Instrumentation and Measurement.

[2]  Victoria Peterson,et al.  A feasibility study of a complete low-cost consumer-grade brain-computer interface system , 2020, Heliyon.

[3]  Steffen Leonhardt,et al.  Physiological Motion Artifacts in Capacitive ECG: Ballistocardiographic Impedance Distortions , 2020, IEEE Transactions on Instrumentation and Measurement.

[4]  Haydar Ozkan,et al.  A Portable Wearable Tele-ECG Monitoring System , 2020, IEEE Transactions on Instrumentation and Measurement.

[5]  Liming Chen,et al.  Computational Sleep Behavior Analysis: A Survey , 2019, IEEE Access.

[6]  Nanshu Lu,et al.  Wearable and Implantable Devices for Cardiovascular Healthcare: from Monitoring to Therapy Based on Flexible and Stretchable Electronics , 2019, Advanced Functional Materials.

[7]  Mingyi Chen,et al.  A 400 GΩ Input-Impedance Active Electrode for Non-Contact Capacitively Coupled ECG Acquisition With Large Linear-Input-Range and High CM-Interference-Tolerance , 2019, IEEE Transactions on Biomedical Circuits and Systems.

[8]  Soumyajit Mandal,et al.  Indoor Occupancy Awareness and Localization Using Passive Electric Field Sensing , 2018, 2018 IEEE SENSORS.

[9]  Jessilyn Dunn,et al.  Wearables and the medical revolution. , 2018, Personalized medicine.

[10]  Pablo Aqueveque,et al.  Wearable EMG Shirt for Upper Limb Training , 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[11]  L Tian,et al.  Wearable sensors: modalities, challenges, and prospects. , 2018, Lab on a chip.

[12]  Ana L. N. Fred,et al.  Experimental characterization and analysis of the BITalino platforms against a reference device , 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[13]  Maria Lindén,et al.  A Systematic Review of Wearable Patient Monitoring Systems – Current Challenges and Opportunities for Clinical Adoption , 2017, Journal of Medical Systems.

[14]  Tapas Mondal,et al.  Wearable Sensors for Remote Health Monitoring , 2017, Sensors.

[15]  N H Lovell,et al.  Unintended Consequences of Wearable Sensor Use in Healthcare , 2016, Yearbook of Medical Informatics.

[16]  Yuting Yang,et al.  Noncontact Monitoring of Blood Oxygen Saturation Using Camera and Dual-Wavelength Imaging System , 2016, IEEE Transactions on Biomedical Engineering.

[17]  Rob Miller,et al.  Smart Homes that Monitor Breathing and Heart Rate , 2015, CHI.

[18]  R Vullings,et al.  Unobtrusive ECG monitoring in the NICU using a capacitive sensing array , 2014, Physiological measurement.

[19]  Ye Sun,et al.  An Innovative Nonintrusive Driver Assistance System for Vital Signal Monitoring , 2014, IEEE Journal of Biomedical and Health Informatics.

[20]  Olivier Mairesse,et al.  Is a one-night stay in the lab really enough to conclude? First-night effect and night-to-night variability in polysomnographic recordings among different clinical population samples , 2012, Psychiatry Research.

[21]  Steffen Leonhardt,et al.  Adaptive Beat-to-Beat Heart Rate Estimation in Ballistocardiograms , 2011, IEEE Transactions on Information Technology in Biomedicine.

[22]  Tzyy-Ping Jung,et al.  Dry-Contact and Noncontact Biopotential Electrodes: Methodological Review , 2010, IEEE Reviews in Biomedical Engineering.

[23]  Gert Cauwenberghs,et al.  Wireless Non-contact EEG/ECG Electrodes for Body Sensor Networks , 2010, 2010 International Conference on Body Sensor Networks.

[24]  Radislav Smid,et al.  Development of a switched integrator amplifier for high-accuracy optical measurements. , 2008, Applied optics.

[25]  Sven Hoffmann,et al.  The Correction of Eye Blink Artefacts in the EEG: A Comparison of Two Prominent Methods , 2008, PloS one.

[26]  M Steffen,et al.  Mobile Noncontact Monitoring of Heart and Lung Activity , 2007, IEEE Transactions on Biomedical Circuits and Systems.

[27]  T. J. Sullivan,et al.  A Low-Noise, Non-Contact EEG/ECG Sensor , 2007, 2007 IEEE Biomedical Circuits and Systems Conference.

[28]  Changzhi Li,et al.  A Portable Noncontact Heartbeat and Respiration Monitoring System Using 5-GHz Radar , 2007, IEEE Sensors Journal.

[29]  John Allen.  Photoplethysmography and its application in clinical physiological measurement , 2007, Physiological measurement.

[30]  U. Rajendra Acharya,et al.  Heart rate variability: a review , 2006, Medical and Biological Engineering and Computing.

[31]  Masayuki Ishihara,et al.  Non-contact respiratory monitoring system using a ceiling-attached microwave antenna , 2006, Medical and Biological Engineering and Computing.

[32]  J. Hankinson,et al.  Standardisation of spirometry , 2005, European Respiratory Journal.

[33]  W. Flemons,et al.  Home diagnosis of sleep apnea: a systematic review of the literature. An evidence review cosponsored by the American Academy of Sleep Medicine, the American College of Chest Physicians, and the American Thoracic Society. , 2003, Chest.

[34]  T. D. Clark,et al.  Remote detection of human electroencephalograms using ultrahigh input impedance electric potential sensors , 2002 .

[35]  T. D. Clark,et al.  Electric potential probes - new directions in the remote sensing of the human body , 2002 .

[36]  P. Linkowski,et al.  The first-night effect may last more than one night. , 2001, Journal of psychiatric research.

[37]  P. Linkowski,et al.  Clinical Investigations: Sleep and BreathingMild to Moderate Sleep Respiratory Events: One Negative Night May Not Be Enough , 2000 .

[38]  I Fujimasa,et al.  Converting far infrared image information to other physiological data. , 2000, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[39]  Hidetoshi Miike,et al.  Detection of apparent skin motion using optical flow analysis: Blood pulsation signal obtained from optical flow sequence , 1997 .

[40]  R. Cohen,et al.  Body surface Laplacian ECG mapping , 1992, IEEE Transactions on Biomedical Engineering.

[41]  R. J. Gardner.  Improved fast integrator for small ion currents (1 fA-1 mA) , 1987 .

[42]  A E Aubert,et al.  Laser method for recording displacement of the heart and chest wall. , 1984, Journal of biomedical engineering.

[43]  S. Borkar,et al.  Capacitance of a Circular Disk for Applications in Microwave Integrated Circuits (Short Papers) , 1975 .

[44]  M. G. Strunskii,et al.  The Calculation of Electrical Capacitance , 1971 .

[45]  Min Han,et al.  Magnetic Induction Tomography , 2015 .

[46]  Ana L. N. Fred,et al.  BITalino: A Novel Hardware Framework for Physiological Computing , 2014, PhyCS.

[47]  王漪.  apple Watch 把苹果戴在手上 , 2014 .

[48]  A. Licari,et al.  Role of forced expiratory flow at 25-75% as an early marker of small airways impairment in subjects with allergic rhinitis. , 2007, Allergy and asthma proceedings.