Smart Weighing Scale with Feet-Sampled ECG

In a smart home, health and well-being monitoring systems could be embedded in everyday devices providing a pervasive care. A home bathroom scale is an example of such a device, typically used to measure body weight and very often its composition (e.g. body water/fat percentage). In this paper, we analyzed a potential use of the bathroom scale to measure electrocardiogram (ECG) from electrodes located on the scale's tile. In particular we used both, simulations and real measurements to analyze the possibility of a such approach. We originally created a simple finite element model to analyze a role of a vector cardiogram projected on the foot-foot lead. We also analyzed results obtained during experiments in which took part (in total) 13 healthy volunteers. They were examined both, in sitting and standing positions. As a result we showed that the quality of the recorded ECG signal from feet is highly related to the electrical vector orientation of the individual's heart. We additionally compared the detected QRS complexes from hands-and feet-sampled ECG for sitting and standing positions. Results showed that for the sitting position the difference was only for 3.6% of all QRS complexes, while for standing one about 24.9%.

[1]  Gregory T. A. Kovacs,et al.  Noninvasive Measurement of Physiological Signals on a Modified Home Bathroom Scale , 2012, IEEE Transactions on Biomedical Engineering.

[2]  Jacek Ruminski,et al.  Enhanced remote control providing medical functionalities , 2013, 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops.

[3]  G. Kovacs,et al.  Non-invasive assessment of cardiac contractility on a weighing scale , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  R. Pallàs-Areny,et al.  Heart rate detection from single-foot plantar bioimpedance measurements in a weighing scale , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[5]  Ramon Pallàs-Areny,et al.  Impact of the mechanical interface on BCG signals obtained from electronic weighing scales , 2016, 2016 Computing in Cardiology Conference (CinC).

[6]  Gregory T. A. Kovacs,et al.  Multi-signal electromechanical cardiovascular monitoring on a modified home bathroom scale , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[7]  Gregory T. A. Kovacs,et al.  Preliminary results from BCG and ECG measurements in the heart failure clinic , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[8]  Gregory T. A. Kovacs,et al.  Rapid Assessment of Cardiac Contractility on a Home Bathroom Scale , 2011, IEEE Transactions on Information Technology in Biomedicine.

[9]  Gregory T. A. Kovacs,et al.  Non-invasive measurement of Valsalva-induced hemodynamic changes on a bathroom scale Ballistocardiograph , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[10]  T. Togawa,et al.  Attempts at monitoring health status in the home , 2000, 1st Annual International IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. Proceedings (Cat. No.00EX451).

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

[12]  Adam Bujnowski,et al.  A scale with ECG measurements capability for home cardiac monitoring , 2017 .

[13]  Ramon Pallàs-Areny,et al.  Heart Rate Detection from Plantar Bioimpedance Measurements , 2008, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[14]  Kwang Suk Park,et al.  Non-constrained monitoring of systolic blood pressure on a weighing scale , 2009, Physiological measurement.

[15]  Rajiv Kapoor,et al.  A Novel Method for Heart Rate Measurement Using Bioimpedance , 2010, 2010 International Conference on Advances in Recent Technologies in Communication and Computing.

[16]  Ramon Pallàs-Areny,et al.  Multi-signal bathroom scale to assess long-term trends in cardiovascular parameters , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.