Title
Standalone IoT Bioimpedance Device Supporting Real-Time Online Data Access
Abstract
The use of electrical bioimpedance methods in medical and personalized healthcare applications requires sophisticated hardware and measurement settings. Here, we describe <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Zink</monospace> , a standalone bioimpedance analyzer with Internet of Things (IoT) monitoring features. <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Zink</monospace> can be connected to a secure wireless or local area network and accessed using any device with a Web browser and Internet access. Through a user-friendly Web-based access able to handle multiple simultaneous connections, the user(s) can perform single or multiple bioimpedance measurement(s) remotely. <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Zink</monospace> supports the measurement of bioimpedance in both time and frequency domains using stepped-sine and multisine excitation signals. Embedded signal processing calculates bioimpedance from voltage and current signals using a coherent demodulation and the fast Fourier transform. <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Zink</monospace> can also measure bioimpedance synchronized with either electrocardiogram (ECG) or electromyogram signals. The data is displayed on the user’s Web client from where it can be downloaded for further analysis. <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Zink</monospace> full bandwidth is 100 mHz to 10 MHz and the average signal-to-noise ratio tested from 1 kHz to 1 MHz is 56 dB. The extended calibration method proposed here reduces the average magnitude error with respect to the existing three-parameter calibration approach by <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$0.6~\Omega $ </tex-math></inline-formula> (0.3%) measuring phantoms. Thoracic bioimpedance and ECG measurements on volunteers demonstrate the feasibility of detecting respiration changes while showing the results in real time on the user device’s Web browser. The performance, portability, and integration of <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Zink</monospace> makes it a suitable standalone platform for medical and personalized health IoT monitoring applications.
Year
DOI
Venue
2019
10.1109/JIOT.2019.2929459
IEEE Internet of Things Journal
Keywords
Field
DocType
Bioimpedance,Impedance,Internet of Things,Universal Serial Bus,Frequency measurement,Integrated circuits,Electrocardiography
Computer science,Internet of Things,Computer network,Data access
Journal
Volume
Issue
ISSN
6
6
2327-4662
Citations 
PageRank 
References 
1
0.39
0
Authors
4
Name
Order
Citations
PageRank
Luis M. Vela110.39
Hyeuknam Kwon253.17
Seward B Rutkove353.44
Benjamin Sanchez4177.49