Advanced ECG holter with 2.4 GHz communication

Cernaj, L.; Zavodnik, T.; Kozarik, Jozef; Debnar, T.; Micjan, Michal; Donoval, Martin; Rezo, V.; Vavrinský, Erik; Kopáni, Martin; Kosnáčová, Helena

doi:10.1109/asdam55965.2022.9966750

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After synchronization with the PPG sensor, the ECG will primarily serve to determine the PTT, i.e., the approximate determination of blood pressure changes. The design of this part is based on our rich experience [80], [97].…”

Section: ) Ecgmentioning

confidence: 99%

Pilot Experiments and Hardware Design of Smart Electrooculographic Headband for People With Muscular Paralysis

Kosnacova,

Horvath,

Stremy

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Millions of individuals worldwide suffer from a motor disability, impeding their ability to perform daily tasks independently. Modern technologies, such as electrooculography (EOG), offer tools to enhance their quality of life. EOG, an electrophysiological method, detects DC potentials influenced by eye movements, making it particularly advantageous for individuals with motor impairments who retain ocular mobility. This article describes pilot experiments that includes the basic design of an electrodes configuration for peripheral solutions, their optimization, and the addition of sensors to measure other vital physiological parameters such as photoplethysmography (PPG) and electrocardiography (ECG) on demand. We tested all the EOG methodologies and connections that our device should contain, using the Mindmedia Nexus-10 MKII for EOG, the Analog Devices MAXM86146 optical biosensor module for PPG signals, the Texas Instruments ADS1299 biopotential circuit for ECG. The evaluation and filtering of the collected data were carried out in the MATLAB environment. Finally, we present a hardware concept based on a new approach that, unlike standard EOG, incorporates three large-area conductive fabric electrodes in a headband for practical and comfortable long-term non-manual human-machine interface (HMI). Our measurements are crucial for monitoring the patients' health status, mood variations, and can help prevent complications or speed up treatment. The primary goal of this research was to present our innovative concept and confirm its feasibility, bringing us closer to the realization of a fully developed and functional device.

show abstract

Section: ) Ecgmentioning

confidence: 99%