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This paper presents a wearable system for heart rate monitoring based on photoplethysmography (PPG). This method based on sensing the cardiovascular pulse presents the analyzing of the light variations on biological tissues. The interaction of light with biological tissue is a complex phenomenon, therefore, involves scattering, absorption and reflection. In our work, we used for PPG the reflectance...
This paper presents the experimental part for discrete time signal acquisition in case of respiration rate monitoring using analog flexible sensor. The hardware part for physiological monitoring consists in ARDUINO shield and a flexible tubular sensor connected with electrodes. The analog signals are generated by resistance parameter vary through a tubular semiconductor when this is stretched. It...
The impact of stress caused by car driving on heart's activity has been extensively studied for over 60 years. In the present paper, we studied the influence of stress on drivers' heart rate. The algorithm was applied on electrocardiographic signals from 6 drivers, and the resulting heart rate variability parameters in the time domain were analyzed comparing those in normal conditions to those in...
Heart rate (HR) is a biomedical parameter, which contains information about the autonomic nervous system activity, and thus, it can predict health related events. Non — contact acquisition of the HR can be of interest not only for clinical practice situations but also for more commercial oriented usage. In this paper, the estimation of HR from a video sequence acquired with a smartphone camera (non...
In this work we investigate an image based algorithm as a reliablemethod to perceive the eye movement and offer new possibilities for the activity recognition. In order to test the effectiveness of the algorithm, the eye movement data was recorded using an electrooculography system. Different patterns of eye movement were analyzed within the conducted study. Three different lighting and three activities...
Current trends and needs in Human-Computer Interaction (HCI) are rapidly increasing; however the possibility to estimate user's state remains unchanged. The need to predict user's state and intentions, and to adapt accordingly in real time to her/his decisions could bring benefits in this dual interaction. Following this purpose, we evaluate the state of a user by means of cognitive processing. In...
The interdependences between the maternal heart rate (mHR), the electrohysterogram (EHG) and the fetal heart rate (fHR) are of great interest, indicating the well developing of pregnancy, and they were initially analyzed in the current study by using the spectral coherence. The mHR and fHR were obtained by applying independent component analysis (ICA)and event-synchronous canceller (ESC) algorithms...
The electrical activity of the uterus, i.e. the electrohysterogram (EHG), is one of the most prominent tool for preterm labour. There is no standard acquisition set up and often the EHG is corrupted with different types of noise: maternal and fetal electrocardiogram (mECG, fECG), electrical activity of the skeletal muscles, movement artifacts, power line interference (PLI) etc. Moreover, some of these...
The respiratory rate is a vital parameter that can provide valuable information about the health condition of a patient. The extraction of respiratory information from photoplethysmographic signal (PPG) was actually encouraged by the reported results, our main goal being to obtain accurate respiratory rate estimation from the PPG signal. We developed a fusion algorithm that identifies the best derived...
In this paper the fetal electrocardiogram (fECG) enhancement in abdominal recordings acquired by electrodes placed on the maternal belly is considered, a new algorithm being proposed to remove the power line inference (PLI). Typically, PLI affects the evaluation of physiological signals, e.g., (fECG), for diagnostic purposes, therefore different hardware and software approaches to reduce/remove it...
This work presents several modeling aspects regarding pervasive computing concept transferred to the wearable device for healthcare. Pervasive or ubiquitous computing consists in global trend for embedding small, low power microprocessors in everyday objects as wearable pieces - bracelets, clothing, for a fast information collecting and transmission. In the healthcare area wearable devices can collect...
The acquisition of the fetal electrocardiogram (fECG) signal via abdominal electrodes placed on the maternal abdomen represents an alternative method to the one used currently in clinical practice. It has the advantage that is noninvasive and can be used for long term monitoring of the fetal wellbeing. However, the limit is the low signal to noise ratio (SNR). The abdominal signal (ADS) recorded with...
The fetal heart rate (FHR) is a fundamental tool for clinical monitoring, when investigating the wellbeing of the fetus. The detection of the QRS complex of the fetal electrocardiogram using the abdominal signal enables the non-invasive evaluation of the FHR. There are many clinical causes for FHR variability, but a slight variance indicates a good evolution of the pregnancy. The current study evaluates...
This study investigates the connectivity between EEG signals (cortical connectivity - CC) as well as between EEG-envelopes and heart rate variability (cortical-neurovegetative connectivity - CNC) by using time-variant Partial Directed Coherence analysis (for CC) and Wavelet Coherence (for CNC). Data from 18 patients suffering from temporal lobe epilepsy has been used to test our methodological approaches...
The analysis of the fetal heart rate (fHR) is important in detecting the fetal distress related with hypoxic episodes, noticed sometimes during the uterine activity, which can severely affect the fetus. Occasional synchrony between the fHR and the maternal heart rate (mHR) was reported and the mHR shows some variations during pregnancy and labor, especially when the contractions are very strong. The...
The fetal electrocardiogram (fECG) obtained from the abdominal signals, to monitor the wellbeing of the fetus, is a weak signal, recorded by placing electrodes on the maternal abdomen surface. When recording the abdominal fECG, the main problem is to separate the fECG from the background noise, including the maternal electrocardiogram (mECG) and/or the power line interference (PLI), this leading to...
Fetal ECG (fECG) signal offers valuable information about the health state of the fetus during pregnancy that can assist physicians taking timely the appropriate decisions during pregnancy and labor. Thus, the FECG signal extraction from composite abdominal signals (ADS) by powerful and advance signal processing methods is becoming more and more an important requirement for fetal monitoring. This...
The abdominal signal recorded on the abdomen of a pregnant woman allows the fECG extraction for a further analysis. The main problem when using the ADSs is that they contain not only the signals of interest but also some disturbing signals that influence the fECG extraction methods. This study proposes an adaptive algorithm that removes the main PLI frequency and its harmonics from the real and simulated...
Atrial fibrillation (AF) is the most prevalent arrhythmia with which the physicians are confronted nowadays. This type of affection can lead from problems like hypertension, to life threatening problems such as thromboembolic events. It can be identified using a routine electrocardiogram (ECG) investigation and is characterized by the chaotic-like oscillations, f-waves, which replace the P wave. In...
Nowadays, one the most prevalent arrhythmia is the atrial fibrillation (AF). The affection associated with AF can lead from problems like hypertension, to life threatening problems such as thromboembolic events. It can be identified using a routine electrocardiogram (ECG) investigation and is characterized by the chaotic-like oscillations, f-waves, which replace the P wave. In the present paper the...
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