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This study aimed to compare two off-the-shelf sleep tracking devices, Fitbit (wearable fitness wristband) and Neuroon (wearable EEG eye mask), for measuring sleep under free living conditions. Taking the measurements of a clinical sleep monitor as the ground truth, we compared the measurements of Fitbit and Neuroon on total sleep time (TST), wake after sleep onset (WASO), the number of awakenings...
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...
Wireless Body Sensor Networks (WBSNs) are a low-cost solution allowing remote patient monitoring and continuous health assessment, thus reducing healthcare expenditure. In such networks, sensor nodes periodically collect vital signs and send them to the coordinator for fusion. However, sensor nodes have limited energy and processing resources and transmission is the most power-hungry task. In this...
This paper presents the design, implementation and test of a watch with the capability to measure multiple physiological signals, such as photoplethysmography (PPG), electrocardiography (ECG), and some physiological parameters extracted from PPG and ECG. Based on the PPG and ECG signals, the pulse rate and heart rate could be extracted respectively. Moreover, the pulse transmit time (PTT) could be...
IoT technology with the 4.0 revolution in industrial technology promises to change drastically in every aspect of human life. The elderly health care industry is forecasted to grow fastly, providing a more economic and effective method for health monitoring through the utilization of IoT technology. Blood oxygen saturation (SpO2), one of the vital survival parameters, is potentially used in health...
The monitoring of the ambient working conditions is a crucial part in occupational medicine. An innovative 3-layer, compact, multi-tasking and efficient wearable system for monitoring environmental conditions including physical and chemical parameters is introduced. It uniquely consists of a microcontroller board with integrated temperature, humidity and barometer sensors (physical parameters-middle...
Some approaches and techniques that allow conducting of complex physiological research using closed-architecture measurement systems of different manufacturers are discussed. The experience in developing a system with flexible configuration and in solving arising problems by virtue of integration of equipment using an external synchronizing device, is described. Parallels are drawn with the modern...
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 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,...
The paper presents a designed, implemented and tested application intended to evaluate the level of attention to people who perform activities that require a high level of concentration, using a measurement system in one point of the electroencephalographic signal. The paper presents the hardware and software structure that highlights the advantages of the system.
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...
As the number of devices (things) connected to the Internet (Internet of things: IoT) is growing, achieving robust security and privacy (S&P) is becoming increasingly challenging. With the heavy use of medical things (MT), the S&P in the medical domain poses a serious issue that continues to grow. Due to the criticality and sensitivity of the data in the healthcare domain, ensuring...
Non-invasive, environmental monitoring is being successfully utilised to improve health care outcomes for patients while allowing them to more safely and comfortably live in their homes instead of health care facilities. This promises to reduce costs and ease the health care burden for many countries globally. However, these systems are still in early stages of research and only highly skilled researchers...
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,...
Bluetooth Low Energy (BLE) is a personal area wireless network technology that is of increasing importance for emerging Internet of Things (IoT) deployments. By design, BLE supports short-range, single-hop communication between a pair of BLE devices. As such, native BLE does not allow network-based policy control or in-network functions for service enhancement. These limitations are impediments to...
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...
In this paper, we design a novel two-channel sphygmus monitoring system, which can synchronously measure the pulse signals and their difference one from radial artery and ulnar artery. This system uses the CM-01B vibration sensor as a sphygmus sensor, utilizes the WiFi module to transmit data, makes use of the PC software to process and display real-time data of sphygmus. The pint-sized and portable...
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