Cardiovascular data analysis using electronic wearable eyeglasses – preliminary study

Bujnowski, Adam; Rumiński, Jacek; Kaczmarek, Mariusz; Czuszynski, Krzysztof; Przystup, Piotr

doi:10.15439/2016f512

Cited by 4 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The bandwidth was limited to 0.05 Hz-60 Hz with a dedicated 50 Hz notch filter. A similar solution was used in [17] and [18]. To improve the CMRR, a dedicated DRL circuit was implemented.…”

Section: Methodsmentioning

confidence: 99%

Estimation of blood pressure parameters using ex-Gaussian model

Poliński

Kocejko

2016

Annals of Computer Science and Information Systems

View full text Add to dashboard Cite

Abstract-The paper presents an example of model-based estimation of blood pressure parameters (onset, systolic and diastolic pressure) from continuous measurements. First, the signal was low pass filtered and its quality was estimated. Good quality periods were divided into beats using an electrocardiogram. Next, the beginning of each beat of the blood pressure signal was approximated basing on the function created from the sum of two independent distributions: Gaussian and exponential. The nonlinear least square method was used to fit measurement data to the model. The initial conditions for the fitting procedure were selected for each beat on the basis of its parameters. Finally, the diastolic and systolic values of blood pressure and onset were determined.

show abstract

“…The bandwidth was limited to 0.05 Hz-60 Hz with a dedicated 50 Hz notch filter. A similar solution was used in [17] and [18]. To improve the CMRR, a dedicated DRL circuit was implemented.…”

Section: Methodsmentioning

confidence: 99%

Estimation of blood pressure parameters using ex-Gaussian model

Poliński

Kocejko

2016

Annals of Computer Science and Information Systems

View full text Add to dashboard Cite

show abstract

“…This can improve the sensitivity of the results as well as allow to find correlations between GERD symptoms and the pHcourses. Such algorithms were successfully applied in other similar research like [27], [28]. Such course can lead in the near future to develop a full medical computers system to aid the diagnostic process of GERD detection, that can be wildly used in the healthcare system.…”

Section: Wx Advantagementioning

confidence: 97%

Supporting gastroesophageal reflux disease diagnostics by using wavelet analysis in esophageal pH-metry

Tojza

Redlarski

Janiak

2018

Annals of Computer Science and Information Systems

View full text Add to dashboard Cite

This paper presents a new approach to computer supported esophageal pH-metry measurement analysis performed in order to diagnose gastroesophageal reflux disease. In this approach wavelet analysis was used to analyse the esophageal pH-metry course. The research was performed on three groups of pH-metry courses: whole 24-hour pH-metry course, sleep only pH-metry course and 20 minutes after the end of a meal pHmetry course. After performing a 128 level decomposition of the pH-metry course, the Wx was defined as a parameter of extreme differential. This parameter was used to distinguish patients esophageal pH-metry results and on that basis classify patients as healthy or sick. Using this method the sensitivity of 77% was achieved.

show abstract

“…Another example is Reference [16], in which a PPG acquisition system was developed over eyeglasses and used to obtain heart rate (HR) and pulse transist time (PTT), although this system does require an external ECG and a PPG finger-clip. In Reference [17], a preliminary study of eyeglasses for ECG acquisition was presented, comparing the head-acquired ECG with an arm-acquired standard ECG, although no performance analysis was provided. In Reference [18], a wearable system for the acquisition of ECG was presented.…”

Section: Introductionmentioning

confidence: 99%

Wearable System for Biosignal Acquisition and Monitoring Based on Reconfigurable Technologies

Toral

García

Romero

et al. 2019

Sensors

View full text Add to dashboard Cite

Wearable monitoring devices are now a usual commodity in the market, especially for the monitoring of sports and physical activity. However, specialized wearable devices remain an open field for high-risk professionals, such as military personnel, fire and rescue, law enforcement, etc. In this work, a prototype wearable instrument, based on reconfigurable technologies and capable of monitoring electrocardiogram, oxygen saturation, and motion, is presented. This reconfigurable device allows a wide range of applications in conjunction with mobile devices. As a proof-of-concept, the reconfigurable instrument was been integrated into ad hoc glasses, in order to illustrate the non-invasive monitoring of the user. The performance of the presented prototype was validated against a commercial pulse oximeter, while several alternatives for QRS-complex detection were tested. For this type of scenario, clustering-based classification was found to be a very robust option.

show abstract

Cardiovascular data analysis using electronic wearable eyeglasses – preliminary study

Abstract: Abstract-The paper presents an alternative approach to the monitoring of the cardiovascular system. The study depicts configurations of the utilized system and preliminary results of electrical and mechanical parameters of the cardiac system which can be measured using a head-worn device.

Cited by 4 publications

References 6 publications

Estimation of blood pressure parameters using ex-Gaussian model

Estimation of blood pressure parameters using ex-Gaussian model

Supporting gastroesophageal reflux disease diagnostics by using wavelet analysis in esophageal pH-metry

Wearable System for Biosignal Acquisition and Monitoring Based on Reconfigurable Technologies

Contact Info

Product

Resources

About