Remotely programmable architecture of a multi-purpose physiological recorder

Wearable controller and processor for wired and wireless body sensor network.Onboard data processing with uploaded user-designed procedures.Remote programmability of hardware settings, data processing and reporting options.Internal memory or wireless data logging in synchronous and asynchronous modes.Support for analog or digital sensors and actuators for activated response tests. Wearable recording devices are widely used in home care monitoring or follow-up of high-risk or chronic patients. This paper presents a flexible architecture of multi-purpose physiological signal recorder. The recorder supports wired and wireless body sensor networks and features remote programmability of a wide-range of hardware settings, data processing and reporting options and dynamic linking of libraries. The recorder is based on a three-layer architecture including data acquisition, processing and communication modules. The design is not dedicated to a particular purpose, and thus any remote diagnosis based on variety of spontaneous physiological signals (e.g. ECG, EMG) may be performed. The configuration of all three layers is independently controlled by the software and thus allows for real-time reconfiguration of sensors, processing level and report content.

[1]  P. Rubel,et al.  Ambient intelligence and pervasive systems for the monitoring of citizens at cardiac risk: New solutions from the EPI-MEDICS project , 2002, Computers in Cardiology.

[2]  Karen A. Scarfone,et al.  Guide to Bluetooth Security , 2008 .

[3]  Refet Firat Yazicioglu,et al.  A Configurable and Low-Power Mixed Signal SoC for Portable ECG Monitoring Applications , 2011, IEEE Transactions on Biomedical Circuits and Systems.

[4]  Jim Austin,et al.  A Miniature Multisensor Biosignal Data Recorder and its Evaluation for Unsupervised Parkinson’s Disease Data Collection , 2014 .

[5]  P. Rubel,et al.  Towards new integrated information and communication infrastructures in e-health. Examples from cardiology , 2003, Computers in Cardiology, 2003.

[6]  Geng Yang,et al.  A novel wearable ECG monitoring system based on active-cable and intelligent electrodes , 2008, HealthCom 2008 - 10th International Conference on e-health Networking, Applications and Services.

[7]  Milan Tysler,et al.  Measuring System with Compound Software Architecture for Measurement and Evaluation of Biosignals from Isolated Animal Hearts , 2011 .

[8]  D. Kreiseler,et al.  Telemetric ECG diagnosis follow-up , 2003, Computers in Cardiology, 2003.

[9]  V. Jurkonis,et al.  Electrocardiosignals and motion signals telemonitoring and analysis system for sportsmen , 2005, Computers in Cardiology, 2005.

[10]  Willis J. Tompkins,et al.  A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.

[11]  Piotr Augustyniak,et al.  Autoadaptivity and Optimization in Distributed ECG Interpretation , 2010, IEEE Transactions on Information Technology in Biomedicine.

[12]  Karen A. Scarfone,et al.  Guide to Bluetooth Security: Recommendations of the National Institute of Standards and Technology (Special Publication 800-121 Revision 1) , 2012 .

[13]  Robert Rieger,et al.  Programmable ExG Biopotential Front-End IC for Wearable Applications , 2014, IEEE Transactions on Biomedical Circuits and Systems.

[14]  Yang Geng,et al.  Hybrid Integration of Active Bio-signal Cable with Intelligent Electrode : Steps toward Wearable Pervasive-Healthcare Applications , 2012 .

[15]  D. De Rossi,et al.  Remote transmission and analysis of signals from wearable devices in sleep disorders evaluation , 2005, Computers in Cardiology, 2005.

[16]  Christopher M. Twigg,et al.  A Fully Reconfigurable Low-Noise Biopotential Sensing Amplifier With 1.96 Noise Efficiency Factor , 2014, IEEE Transactions on Biomedical Circuits and Systems.

[17]  Yingchieh Ho,et al.  A 0.09 $\mu$ W Low Power Front-End Biopotential Amplifier for Biosignal Recording , 2012, IEEE Transactions on Biomedical Circuits and Systems.

[18]  M. Penhaker,et al.  Global Courseware for Visualization and Processing Biosignals , 2009 .

[19]  R. Gonzalez,et al.  WalkECG: a mobile cardiac care device , 2005, Computers in Cardiology, 2005.

[20]  P Augustyniak.  Management of non-uniform data transfer in cardiac monitoring systems with adaptive interpretation , 2010, 2010 Computing in Cardiology.

[21]  Samee Ullah Khan,et al.  > REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 1 , 2008 .

[22]  Brian P. Otis,et al.  A 0.5 ${\rm cm}^{3}$ Four-Channel 1.1 mW Wireless Biosignal Interface With 20 m Range , 2014, IEEE Transactions on Biomedical Circuits and Systems.

[23]  Youmin Zhang,et al.  Bibliographical review on reconfigurable fault-tolerant control systems , 2003, Annu. Rev. Control..

[24]  F. Chiarugi,et al.  Continuous ECG monitoring in the management of pre-hospital health emergencies , 2003, Computers in Cardiology, 2003.

[25]  P. Augustyniak.  Content-adaptive signal and data in pervasive cardiac monitoring , 2005, Computers in Cardiology, 2005.

[26]  Rodney James Chandler,et al.  A System-Level Analysis of a Wireless Low-Power Biosignal Recording Device , 2012 .

[27]  Peng-Cheng Sung,et al.  Wireless Logger for Biosignals , 2010 .