The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Automated mental workload measurement is particularly important in safety-critical settings, such as in nuclear plants, aviation, air traffic control, shipping, and transportation, to name a few. As an example, recent statistics have suggested that 90% of the accidents in the transport industry are due to human factors. In this paper, we explore the potential of off-the-shelf wearable technologies...
Monitoring periodic limb movements in sleep (PLMS) is important since it is correlated with people's quality of sleep and several other sleep disorders. The clinically approved method of examining PLMS is polysomnography (PSG) where the sleep of patients are examined in a laboratory with various sensors attached to their body. However, PSG is time-consuming and expensive for patients and the need...
In this study, correlation of heart rate variability (HRV) results in different postures between ECG-based and PPG-based cardiac measurement devices is explored. Electrocardiogram (ECG) is one of the best indicators for the assessment of physical health and heart function, while photoplethysmography (PPG) uses light sensor to detect the change of blood volume in the vessel, and is thus less susceptible...
In this study, we have implemented an auscultation sphygmomanometer that can continuously estimate blood pressure via simultaneous measurement of phonocardiogram (PCG) and photoplethysmography (PPG) signals. In PCG, in the process of systole and diastole, the heart will produce "lub" "dub" sounds, called the first (S1) and the second heart sound (S2) respectively. In PPG, according...
In this work, a wearable instrumented smart clothes with an accelerometer sensor embedded on the upper abdomen close to the diaphragm was used to detect respiration of subjects. A detection algorithm was proposed and verified with 30 testing cases on male and female subjects separately. More than 97% of accuracy is achieved by comparing with the detection results from respiratory belt conducted simultaneously...
Because sensor's and electrical techniques is progressing, some physiological instruments, like pulse oximeter oxygen saturation, electrocardiograph, body temperature, and heart rate monitor, have been developed as the wearable apparatuses. Now, the electrical blood pressure monitor all uses a cuff to measure the blood pressure. If the electrical blood pressure monitor wants to become a wearable apparatus,...
It is shown that the excessive inhalation of PM (Particulate Matter) 2.5 will seriously affect the health of human. Many countries have deployed various detectors for air pollution in order to report concentration of PM2.5 to show how much seriousness of air pollution is. But, what more important is how much PM 2.5 has been inhaled by people anytime and anywhere. Therefore, in this paper, we propose...
Various studies have examined the quality of one's sleep and further investigated several sleep disorders. In those investigations, accurately classifying one's sleep into the standardized sleep stages is important. The conventional classification heavily depends on the manual examination of each expert on one's physiological signals during the sleep. Therefore, various automatic classification models...
Recognizing the location of an individual in a home environment is crucial in order to enable various context-aware home applications such as elderly health monitoring and in home appliance automation. However, due to the limited number of dedicated Wi-Fi access points (APs), it is challenging to guarantee the reliable localization performance in a home environment by using the traditional Wi-Fi fingerprinting...
Wearable devices, such as wristbands, smart-watches, eyewear, and wearable bio-monitors have become the focus of much attention in past year. One in ten U.S. consumers over the age of 18 now owns a modern activity tracker. These ubiquitous devices are a natural platform for formation of ad hoc networks. With almost 40% of users are above the age of 45, these older adopters are focused on improving...
To successfully increase athletes' or exercisers' fitness and endurance, the factors of physiological signal, emotion, or the level of fatigue should be considered during the training program. Many clinical decision support systems can assist to monitor the exercisers by some wearable devices. And, the questionnaire should also be taken into account to produce a report. Such process is cumbersome,...
In an effort to improve lay rescuers' knowledge and skills in cardiopulmonary resuscitation (CPR), we developed a system that enables high-quality CPR by improving the perceptions of and skills in CPR. The proposed system can evaluate user CPR actions in real time. Particular characteristics of this system are the use of distance and pressure sensors for laypeople to achieve the necessary posture...
Electroencephalography (EEG) is the most frequently used technique to monitor functional activity of the brain. It has been widely employed in brain-computer interfaces based on the detection of P300 potentials. However, the P300 waves often contain physiological and non-physiological artifacts such as steady state visually evoked potential, power line or environment noise. The aim of this work is...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.