Erik Vavrinsky

Dr. Erik Vavrinsky

Institute of Electronics and Photonics, Slovak University of Technology in Bratislava, Bratislava, Bratislavský, Slovakia
orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 February 2024 in Biosensors
Verified
Journal Article
Open access
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DVDiana Vitazkova
Diana Vitazkova
EFErik Foltán
Erik Foltán
HKHelena Kosnáčová
Helena Kosnáčová
MMMichal Micjan
Michal Micjan
MDMartin Donoval
Martin Donoval
Erik VavrinskyErik Vavrinsky
Erik Vavrinsky
This article explores the importance of wearable and remote technologies in healthcare. The focus highlights its potential in continuous monitoring, examines the specificity of the issue, and offers a view of proactive healthcare. Our research describes a wide range of device types and scientific methodologies, starting from traditional chest belts to their modern alternatives and cutting-edge bioamplifiers that distinguish breathing from chest impedance variations. We also investigated innovative technologies such as the monitoring of thorax micromovements based on the principles of seismocardiography, ballistocardiography, remote camera recordings, deployment of integrated optical fibers, or extraction of respiration from cardiovascular variables. Our review is extended to include acoustic methods and breath and blood gas analysis, providing a comprehensive overview of different approaches to respiratory monitoring. The topic of monitoring respiration with wearable and remote electronics is currently the center of attention of researchers, which is also reflected by the growing number of publications. In our manuscript, we offer an overview of the most interesting ones.

6 April 2022 in Biosensors
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Journal Article
Open access
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Erik VavrinskyErik Vavrinsky
Erik Vavrinsky
NENiloofar Ebrahimzadeh Esfahani
Niloofar Ebrahimzadeh Esfahani
MHMichal Hausner
Michal Hausner
AKAnton Kuzma
Anton Kuzma
VRVratislav Režo
Vratislav Režo
HKHelena Kosnáčová
Helena Kosnáčová
Optical sensors play an increasingly important role in the development of medical diagnostic devices. They can be very widely used to measure the physiology of the human body. Optical methods include PPG, radiation, biochemical, and optical fiber sensors. Optical sensors offer excellent metrological properties, immunity to electromagnetic interference, electrical safety, simple miniaturization, the ability to capture volumes of nanometers, and non-invasive examination. In addition, they are cheap and resistant to water and corrosion. The use of optical sensors can bring better methods of continuous diagnostics in the comfort of the home and the development of telemedicine in the 21st century. This article offers a large overview of optical wearable methods and their modern use with an insight into the future years of technology in this field.

VKVeronika Kotradyova
Veronika Kotradyova
Erik VavrinskyErik Vavrinsky
Erik Vavrinsky
BKBarbora Kaliňáková
Barbora Kaliňáková
DPDominik Petro
Dominik Petro
KJKatarina Jansakova
Katarina Jansakova
HKHelena Kosnáčová
Helena Kosnáčová
The paper presents the application of natural materials, especially wood, which are relevant for human well-being in built environments of health, social, and day care facilities. These properties were tested by a complex methodology in a case study in the wooden waiting room at National Oncology Institute in Bratislava. In this space, experimental tests of physiological responses were further executed on 50 volunteers moving in the waiting room for 20 min. In this article, the EEG (electroencephalograph) (four persons) and emotions from the faces of all our volunteers before entering and after a stay in a wooden waiting room were recorded. Specifically, the ECG (electrocardiograph), heart rate (HR), and respiration activity were measured by using our own designed ECG holter (40 persons), and also blood pressure and cortisol levels were observed. The usage of wooden materials verifies their regenerative and positive impact on the human nervous system, through the appealing aesthetics (color, texture, and structures), high contact comfort, pleasant smell, possibility to regulate air humidity, volatile organic compound emissions (VOC-emissions), and acoustic well-being in the space.

1 April 2008 in Applied Surface Science
Verified
Journal Article
Closed access
SFS. Flickyngerova
S. Flickyngerova
KSK. Shtereva
K. Shtereva
VSV. Stenova
V. Stenova
DHD. Hasko
D. Hasko
INI. Novotny
I. Novotny
Erik VavrinskyErik Vavrinsky
Erik Vavrinsky

1 October 2007 in Thin Solid Films
Verified
Journal Article
Closed access
VTV. Tvarozek
V. Tvarozek
INI. Novotny
I. Novotny
PSP. Sutta
P. Sutta
SFS. Flickyngerova
S. Flickyngerova
KSK. Schtereva
K. Schtereva
Erik VavrinskyErik Vavrinsky
Erik Vavrinsky

17 February 2025 in Biosensors
Verified
Journal Article
Open access
PDF file
DVDiana Vitazkova
Diana Vitazkova
HKHelena Kosnáčová
Helena Kosnáčová
DTDaniela Turonova
Daniela Turonova
EFErik Foltán
Erik Foltán
MJMartin Jagelka
Martin Jagelka
Erik VavrinskyErik Vavrinsky
Erik Vavrinsky
This paper explores the progressive era of sleep monitoring, focusing on wearable and remote devices contributing to advances in the concept of home polysomnography. We begin by exploring the basic physiology of sleep, establishing a theoretical basis for understanding sleep stages and associated changes in physiological variables. The review then moves on to an analysis of specific cutting-edge devices and technologies, with an emphasis on their practical applications, user comfort, and accuracy. Attention is also given to the ability of these devices to predict neurological disorders, particularly Alzheimer’s and Parkinson’s disease. The paper highlights the integration of hardware innovations, targeted sleep parameters, and partially advanced algorithms, illustrating how these elements converge to provide reliable sleep health information. By bridging the gap between clinical diagnosis and real-world applicability, this review aims to elucidate the role of modern sleep monitoring tools in improving personalised healthcare and proactive disease management.