An inexpensive and ultra-low power sensor node for wireless health monitoring system

Increasing interests in remote monitoring of vital signs through telecommunication, especially with wireless and mobile communication have enabled a new generation of information system for healthcare applications. The system may include miniature sensor nodes embedded with wireless communications and a mobile computer delivering information to remote locations. In this paper, we introduced an inexpensive and ultra-low power system for measuring ECG and heart rate in contact and contact-less manners. Existing monitoring system uses gel or electrodes for measuring ECG signals. However, in this study, we used unique electric potential EPIC sensors from Plessey's and infrared sensors. The prototype is capable of monitoring both heart rate and ECG signals with a hibernation mode, which would require less power to transmit the data. Our developed prototype can be used to monitor premature infants as their skins are sensitive and current system uses patches or gel to collect biomedical signals. The proposed prototype for monitoring vital signs has been tested in our lab. The results show that it can achieve low power consumption though a hibernation mode.

[1]  Michele Magno,et al.  Wearable low power dry surface wireless sensor node for healthcare monitoring application , 2013, 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

[2]  Guy A. E. Vandenbosch,et al.  Wearable Wireless Health Monitoring: Current Developments, Challenges, and Future Trends , 2015, IEEE Microwave Magazine.

[3]  Se Dong Min,et al.  Noncontact Respiration Rate Measurement System Using an Ultrasonic Proximity Sensor , 2010, IEEE Sensors Journal.

[4]  Ki H. Chon,et al.  Physiological Parameter Monitoring from Optical Recordings With a Mobile Phone , 2012, IEEE Transactions on Biomedical Engineering.

[5]  Syed Alwee Aljunid,et al.  High speed approach for detecting QRS complex characteristics in single lead electrocardiogram signal , 2013, 2013 IEEE International Conference on Control System, Computing and Engineering.

[6]  Tzyy-Ping Jung,et al.  A brain-machine interface using dry-contact, low-noise EEG sensors , 2008, 2008 IEEE International Symposium on Circuits and Systems.

[7]  Wei Chen,et al.  Non-invasive blood oxygen saturation monitoring for neonates using reflectance pulse oximeter , 2010, 2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010).

[8]  Doan B. Hoang Wireless Technologies and Architectures for Health Monitoring Systems , 2007, First International Conference on the Digital Society (ICDS'07).

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

[10]  Bor-Shyh Lin,et al.  Development of Novel Non-Contact Electrodes for Mobile Electrocardiogram Monitoring System , 2013, IEEE Journal of Translational Engineering in Health and Medicine.

[11]  C. Thanawattano,et al.  Wearable wireless ECG sensor with cross-platform real-time monitoring , 2012, 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences.

[12]  Yantao Shen,et al.  Development of a biomimetic non-invasive radial pulse sensor: Design, calibration, and applications , 2014, 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014).

[13]  Kalaivani Chellappan,et al.  Emergency clinic multi-sensor continuous monitoring prototype using e-Health platform , 2014, 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES).

[14]  Lee Yoot Khuan,et al.  Design Simulation and Finite Element Analysis of Piezoresistive Microcantilever for Human Stress Measurement , 2009 .

[15]  Jean-Pierre Cances,et al.  Mobile healthcare monitoring in hospital based on diffuse optical wireless technology , 2010, 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[16]  Robert Bogue Plessey launches range of unique electric field sensors , 2012 .

[17]  Rosalind W. Picard,et al.  Non-contact, automated cardiac pulse measurements using video imaging and blind source separation , 2022 .

[18]  Gert Cauwenberghs,et al.  Non-contact Low Power EEG/ECG Electrode for High Density Wearable Biopotential Sensor Networks , 2009, 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks.

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

[20]  Hiroshi Nakajima,et al.  A 14 µA ECG processor with robust heart rate monitor for a wearable healthcare system , 2013, 2013 Proceedings of the ESSCIRC (ESSCIRC).

[21]  Yantao Shen,et al.  Bioinspired non-invasive radial pulse sensor: from biomimetic design, system calibration, to clinic application , 2014, ROBIO 2014.

[22]  Ian O'Connor,et al.  Performance evaluations of unslotted CSMA/CA algorithm at high data rate WSNs scenario , 2013, 2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC).

[23]  Zedong Nie,et al.  A Wireless Biomedical Signal Interface System-on-Chip for Body Sensor Networks , 2010, IEEE Transactions on Biomedical Circuits and Systems.

[24]  Md Shaad Mahmud,et al.  Design, performance and implementation of UWB wearable logo textile antenna , 2012, 2012 15 International Symposium on Antenna Technology and Applied Electromagnetics.

[25]  Natasha Correia Queiroz Lino,et al.  An embedded mobile deductive system for low cost health monitoring support , 2011, 2011 24th International Symposium on Computer-Based Medical Systems (CBMS).

[26]  Dat Tran,et al.  A VHDL Based Controller Design for Non-contact Temperature and Breathing Sensors Suitable for Crib , 2014, 2014 IEEE International Conference on Bioinformatics and Bioengineering.

[27]  V. Lakafosis,et al.  Low-cost low-power small-form-factor node for health monitoring wireless multi-hop Personal Area Networks with Dramatically Increased Range , 2009, 2009 IEEE Antennas and Propagation Society International Symposium.

[28]  M. A. Reyna,et al.  Development of an ambulatory ECG system based on Arduino and mobile telephony for wireless transmission , 2014, 2014 Pan American Health Care Exchanges (PAHCE).

[29]  Stavros M. Panas,et al.  Enhancement of R-wave detection in ECG data analysis using higher-order statistics , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.