Non-Invasive Physiological Signal Acquisition System for Ward Monitoring

The article describes a non-invasive physiological signal acquisition system based on Ballistocardiography technology, which is applied to the ward monitoring scene to assist medical staff and reduce work consumption. The overall structure of the signal acquisition system and the key signal processing circuit are described in detail. Since the design system uses an array sensing front end, signal crosstalk between multiple channels becomes an obvious problem. In this work, the signal noise analysis and design of the sampling part of the acquisition system is carried out, and an effective measures are taken to reduce the signal crosstalk between the channels. Considering the application requirements in the ward, the electrostatic discharge (ESD) immunity design of the acquisition system was designed and passed the test of relevant standards (IEC60601-1-2).

[1]  O. Postolache,et al.  Theory and Developments in an Unobtrusive Cardiovascular System Representation: Ballistocardiography , 2010, The open biomedical engineering journal.

[2]  Steffen Leonhardt,et al.  Heartbeat Cycle Length Detection by a Ballistocardiographic Sensor in Atrial Fibrillation and Sinus Rhythm , 2015, BioMed research international.

[3]  Zhiping Lin,et al.  Towards precise tracking of electric-mechanical cardiac time intervals through joint ECG and BCG sensing and signal processing , 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[4]  Emanuela Locci,et al.  Monitoring the Modifications of the Vitreous Humor Metabolite Profile after Death: An Animal Model , 2015, BioMed research international.

[5]  Feng Jiang,et al.  Low-power, noninvasive measurement system for wearable ballistocardiography in sitting and standing positions , 2017, Comput. Ind..

[6]  Enrico G. Caiani,et al.  Studying heart rate variability from ballistocardiography acquired by force platform: Comparison with conventional ECG , 2015, 2015 Computing in Cardiology Conference (CinC).

[7]  Yong Xu,et al.  Non-contact Home Health Monitoring Based on Low-Cost High-Performance Accelerometers , 2017, 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).

[8]  Jin Jing-jing Research on Detection Method of Respiratory Rate Based on Ballistocardiogram Signal , 2011 .

[9]  Pablo Aqueveque,et al.  Noninvasive ambulatory measurement system of cardiac activity , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[10]  Omer T. Inan,et al.  Ballistocardiogram: Mechanism and Potential for Unobtrusive Cardiovascular Health Monitoring , 2016, Scientific Reports.

[11]  Jhilam Biswas,et al.  Energy Harvesting using Piezoelectric Materials , 2013 .

[12]  Steffen Leonhardt,et al.  Automatic Detection of Atrial Fibrillation in Cardiac Vibration Signals , 2013, IEEE Journal of Biomedical and Health Informatics.