Bioimpedance monitoring provides a non-invasive, safe and affordable opportunity to monitor total body water for a wide range of clinical applications. However, the measurement is susceptible to variations in posture and movement. Existing devices do not account for these variations and are therefore unsuitable to perform continuous measurements to depict trend changes. We developed a wearable bioimpedance monitoring system with embedded real-time posture detection using a distributed accelerometer network. We tested the device on 14 healthy volunteers following a standardized protocol of posture change and evaluated the agreement with a commercial device. The impedance showed a high correlation (r>0.98), a bias of -4.5 Ω, and limits of agreement of -30 and 21 Ω. Context-awareness was achieved with an accuracy of 94.6% by classifying data from two accelerometers placed at the upper and lower leg. The calculated current consumption of the system was as low as 10 mA during continuous measurement operation, suggesting that the system can be used for continuous measurements over multiple days without charging. The proposed motion-aware design will enable the measurement of relevant bioimpedance parameters over long periods and support informed clinical decision making.
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http://dx.doi.org/10.1109/EMBC44109.2020.9175298 | DOI Listing |
Med Biol Eng Comput
January 2025
IDLab, Ghent University-Imec, Technologiepark-Zwijnaarde 126, Zwijnaarde, Belgium.
Chronic obstructive pulmonary disease (COPD) is a leading cause of death worldwide and greatly reduces the quality of life. Utilizing remote monitoring has been shown to improve quality of life and reduce exacerbations, but remains an ongoing area of research. We introduce a novel method for estimating changes in ease of breathing for COPD patients, using obstructed breathing data collected via wearables.
View Article and Find Full Text PDFBMC Nephrol
January 2025
Department of Internal Medicine, Levanger Hospital, Nord-Trøndelag Health Trust, Levanger, Norway.
Background: Accurate assessment of fluid volume and hydration status is essential in many disease states, including patients with chronic kidney disease. The aim of this study was to investigate the ability of a wearable continuous bioimpedance sensor to detect changes in fluid volume in patients undergoing regular hemodialysis (HD).
Methods: 31 patients with end-stage renal disease were enrolled and monitored with a sensor patch (Re:Balans) on the upper back through two consecutive HD sessions and the interdialytic period between.
J Electr Bioimpedance
January 2024
Electrical Engineering Department, State University of Santa Catarina, Santa Catarina, Brazil.
Wearable and portable devices are gaining significant popularity across consumer electronics as well as in medical and industrial fields. To ensure that these devices are both comfortable and appealing to users, they need to have low battery consumption and be compact in both size and weight. The EGluco project is focused on developing a wearable device for non-invasive blood glucose monitoring.
View Article and Find Full Text PDFJ Clin Monit Comput
December 2024
Mode Sensors AS, Trondheim, Norway.
Purpose: This study aimed to investigate the ability of a novel wearable bioimpedance sensor to monitor changes in fluid balance induced by furosemide. Because iso-osmotic fluid loss is expected to primarily comprise fluid from the extracellular compartment it was hypothesized that isotonic hypovolemia would increase the extracellular resistance (R).
Methods: 27 healthy adults (20 women, 7 men; 35 ± 10 year.
Colloids Surf B Biointerfaces
February 2025
Center for Energy and Environment, School of Advanced Sciences, KLE Technological University, Vidyanagar, Hubballi, Karnataka 580031, India. Electronic address:
With the rapid advancements in wearable sensor technology, healthcare is witnessing a transformative shift towards personalized and continuous monitoring. Wearable sensors designed for tracking human strain offer promising applications in rehabilitation, athletic performance, occupational health, and early disease detection. Recent advancements in the field have centered on the design optimization and miniaturization of wearable biosensors.
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