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This paper presents an ontology proposal to manage individual profiles for patients follow-up in home telemonitoring scenarios. It provides a formal structure with a clear semantics used as a common knowledge to exchange information among the entities involved in the telemonitoring process, thus supporting health information interoperability. Monitoring guidelines, risk situations, reminders, clinical...
In this paper we employ the Matching Pursuit algorithm in order to obtain compact time-frequency representations of ECG data, which are then utilized from an ANN to achieve beat classification. To obtain optimum performance, the effect of the following attributes on the classification performance is examined: number of atoms, type of wavelet and number of ECG samples around the R peak. Our goal is...
Although medical technologies developed in the twenty-first century have successfully increased man's life span, the pressure of modern life has consequently brought many modern civilization diseases and chronic illness. When all these problems are tackled by hospitals, they will consume considerable amount of medical resources. Alternatively, providing health care services at home is an important...
In this paper, occupancy pattern extraction and prediction in an intelligent inhabited environment is addressed. The results of this research will help elderly people to live independently in their own home longer and help them in case of an emergency. Using a wireless sensor network system, daily behavioral patterns of the occupant are extracted. This information is then used to build a behavioral...
Stride-related parameters of sprinters, such as split times (i.e. which is speed-related), foot contact times, stance times, stride/step length, and stride/step frequency, etc. are important factors which affect athletes' performances. Traditionally, this information is captured by biomechanics researchers and coaches using optical-based systems. However, these systems are expensive, time consuming...
Clinical investigation of some sleep disorders requires simultaneous monitoring of heart and respiratory rates. There have been several efforts on ECG-Derived Respiration (EDR). The photoplethysmographic (PPG) signal includes both heart and respiratory components. In situations such as ambulatory monitoring, stress tests and sleep disorder investigations, where the respiration is not monitored by...
Currently Long QT Syndrome (LQTS) is diagnosed by using the Long QT Syndrome “diagnostic score”. Calculation of the score is done by assigning different points to various criteria. The answers to the criteria are often hard to obtain as they require lengthy periods of cardiac observations. And even after the scores are obtain, only a percentage of certainty is obtained. Diagnosis of LQTS is often...
Since 1960's obstetricians have been using cardiotocography (CTG) to detect possible ongoing hypoxia of the fetus. CTG consists of fetal heart rate (fHR) and uterine contraction (TOCO) monitoring. The evaluation of the fHR in clinical settings is ruled by FIGO guidelines, which are based on evaluation of macroscopic morphological features derived from the fHR, such as baseline variability. Although...
A series pair data of NIR spectral and measured BGL are collected for an OGTT experiment from a healthy volunteer. The collected data are then calibrated by using partial least squares (PLS) regression and feed-forward back-propagation neural network (NN). A comparative analysis between both calibration models is analysed. From the PLS and NN calibration models, root mean square error prediction of...
Physical activity (PA) is commonly recognized to directly influence changes in heart rate (HR). HR prediction based on PA can be a useful tool in medical research and monitoring in a clinical setting. In our previous works, predictors with high accuracy were designed. However, the HR could only be predicted in single time steps. In this study, a multi-step HR prediction method is proposed. Firstly,...
The paper suggests the methods for learning compact representation of the optimal decision policies in a Markov decision process (MDP) framework for sensor-network based human health monitoring systems. The learning of a small decision policy is key to deploying the model in small sensor nodes with limited memory. The decision process enables distributed sensor nodes to adapt their sampling rates...
Long-term monitoring of ECG signals is receiving much attention, still being an open issue how to deal with this massive source of information. In particular, Heart Rate Variability (HRV) indices have been widely used to characterize the state of the autonomous regulation of the heart from 24-hour Holter monitoring, but there is few knowledge on the long-term evolution of HRV indices. A data set of...
We propose DiaWear, a novel assistive mobile phone-based calorie monitoring system to improve the quality of life of diabetes patients and individuals with unique nutrition management needs. Our goal is to achieve improved daily semi-automatic food recognition using a mobile wearable cell phone. DiaWear currently uses a neural network classification scheme to identify food items from a captured image...
The wireless vital signals monitoring system has been developed. It aids to monitor patients with cardiovascular diseases (CVD) and sportsmen. The system consists of wireless electrocardiogram (ECG) and motion signals recording and transmitting device to personal computer and software for signal analysis and evaluation of human functional state. The feedback and warning means has been developed. The...
The results of experimental examination of different approaches to the signal stationarity assessment with regard to the heart rate variability spectral parameters estimation are presented. The following three approaches were considered: autoregressive parameters monitoring; analysis of detrended signal and assessment of generalized likelihood ratio. The above methods were examined with the use of...
The system architecture presented in this paper is designed for helping an aged person to live longer independently in their own home by detecting unusual and potentially hazardous behaviours. The system consists of two major components. The first component is the tracking part which is responsible for monitoring the movements of the person within the home, while the second part is a learning agent...
Recently, the social role of the nursing health facilities increases more and more as Japan becomes an aged society. There has been a problem on accidents such as ldquofallingrdquo and ldquomoving away from facilitiesrdquo in such facilities owing to the overload to the human monitoring and the privacy protection. This sensor can detect the state such as turning over in bed and getting up on the bed...
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