1. Wearable Sensors for Frequency-Multiplexed EIT and Multilead ECG Data Acquisition
- Author
-
Andy Adler, Olivier Chételat, Barbara Vogt, Inéz Frerichs, Michael Rapin, Fabian Braun, and Josias Wacker
- Subjects
Male ,Computer science ,Wearable computer ,frequency-division multiplexing ,02 engineering and technology ,Multiplexing ,Electrocardiography ,Data acquisition ,multichannel ,Healthy volunteers ,Electric Impedance ,Telemetry ,Tomography ,multilead ,Signal processing ,regional lung-function ,medicine.diagnostic_test ,ventilation ,telemonitoring ,optimal current patterns ,Signal Processing, Computer-Assisted ,Equipment Design ,Algorithms ,Computer hardware ,0206 medical engineering ,Biomedical Engineering ,consensus statement ,electrical impedance tomography (eit) ,system ,electrical-impedance tomography ,Wearable Electronic Devices ,bioimpedance ,electrocardiography (ecg) ,medicine ,Humans ,dry electrodes ,Electrodes ,Electrical impedance tomography ,biopotential ,business.industry ,wearable sensors ,calibration ,body sensor networks (bsn) ,020601 biomedical engineering ,cooperative sensors ,active electrodes ,Noise (video) ,business - Abstract
This paper presents a wearable sensor architecture for frequency-multiplexed electrical impedance tomography (EIT) and synchronous multilead electrocardiogram (ECG) data acquisition. The system is based on a novel electronic sensing architecture, called cooperative sensors, that significantly reduces the cabling complexity and enables flexible EIT stimulation and measurement patterns. The cooperative-sensor architecture was initially designed for ECG and has been extended for multichannel bioimpedance measurement. This approach allows for an adjustable EIT stimulation pattern via frequency-division multiplexing. This paper also shows a calibration procedure as well as EIT system noise performance assessment. Preliminary measurements on a healthy volunteer showed the ability of the wearable system to measure EIT data synchronously with multilead ECG. Ventilation-related and heartbeat-related EIT images were reconstructed, demonstrating the feasibility of the proposed architecture for non-invasive cardiovascular monitoring.
- Published
- 2019