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Fault diagnosis and prognosis (FDP) plays an important role in the modern complex industrial systems. Diagnosis aims to monitor the fault state in real-time while prognosis predicts the evolution of fault state and remaining useful life (RUL). Traditional Riemann sampling-based FDP (RS-FDP) takes samples and executes algorithms periodically and, in most cases, requires significant computational resources,...
There is an increasing demand for flexible and wearable strain sensors for the potential applications in wearable monitor, including human activities, human-machine interfaces and master devices for teleoperated robotic system, etc. Herein, we propose a highly stretchable strain sensor developed by structured single-walled carbon nanotube /carbon black (SWCNTs/CB) networks for wearable monitor. The...
The increasing prevalence of Autism Spectrum Disorder (ASD) has made this as one of the largest disability groups. Autism Spectrum Disorder (ASD) is considered as a lifelong developmental disability impacting on three main areas; communication skills, behavioural patterns and health. The main focus of this research is on the use of Augmentative and Alternative Communication (AAC) solutions as part...
Cardiac Rehabilitation (CR) can significantly improve mortality and morbidity rates from Cardiovascular Diseases (CVD). Nevertheless, traditional CR is diminished by low subsequent adherence rates. Thus, in this paper, an e-Health technological module for human motion analysis and user modelling is proposed, in order to address the requirements of unsupervised, tele-rehabilitation systems for CVD,...
The ever growing demands of software solutions have led to the development of Large-Scale Distributed Systems, which bring together a wide pool of services and resources. Their composition and deployment come in different solutions tailored to users' requests based on business models, functionality, quality of service and costs. Bridging different parts into one software solution is brittle due to...
Improving safety of patient care is an ultimate objective for medical systems. Though many medical best practice guidelines exist and are in hospital handbooks, they are often lengthy and difficult for medical professionals to remember and apply clinically. Hence, developing safe and correct medical best practice guideline systems is an urgent need. Many efforts have been made in modeling, clinical...
Blood pressure is an important parameter for early detections of cardiovascular diseases. There have been many relevant technological advances to measure blood pressure, such as in wearable sensing, pervasive computing, and smartphones. The disadvantage of conventional measurement is discomfort for the patients because of painful cuff inflation. The emergence of photoplethysmography for blood pressure...
For the elderly, the sub-health crowd, the insomnia people groups, the vital signs real-time monitoring system can realize real-time monitoring of sleep quality and heart rate changes. The concentrated and effective management (assessment, prediction and control) for the sleep state of sub-health crowd and community residents can realize early monitoring, early detection, early diagnosis and early...
This paper presents a new wearable assessment system of sleep quality which is a combination of non-intrusive wear and smartphone programs. Based on a simple algorithmic analysis that can be performed quickly on smartphone and through the development of smartphone programs, it can display sleep levels in smartphones and help users simply understand their own sleep conditions. The experimental results...
This paper presents the concepts and the development process of a new and innovative wearable system able both to track the position and to analyze the movements of the head. This wearable system was developed as a main platform for a large class of applications in fields like: biomedical, medical, entertainment, military, automotive, consumer field etc. In the proposed system, the head position and...
Fog computing is considered as the most promising enhancement of the traditional cloud computing paradigm in order to handle potential issues introduced by the emerging Interned of Things (IoT) framework at the network edge. The heterogeneous nature, the extensive distribution and the hefty number of deployed IoT nodes will disrupt existing functional models, creating confusion. However, IoT will...
The number of time that heart beats per one minute we call it as the heart rate or pulse. It is an indicator for monitoring health. In this paper, we present the Burn in Zone: Physical activity real-time heart rate monitoring, a novel model to help people who prefer to have a more physical activity to continue their intention in the long term. We were mainly interested in real-time heart rate monitoring...
The monitoring of the ambient working conditions is a crucial part in occupational medicine. A wearable system for monitoring environmental conditions including physical and chemical parameters is introduced. The system operates based on an integrated and add on-board multi-layer sensors and fusion approach. It uniquely consists of only a small and light wrist-worn device which embeds a microcontroller...
Photoplethysmography(PPG) heart rate(HR) measurement technologies have the drawback of robustness. The traditional threshold method is not able to compute HR from the disorderly and unsystematic PPG signal (especially the PPG signal come from the people who has hypertension). To enhance HR estimation robustness, we present a strong robustness fusion method (SRFM) which fuses discrete fourier transform...
Monitoring motor function of patients with Parkinson's disease (PD) over long periods of time is essential in order to improve symptom management and avoid complications. Wearable technologies can be useful in this context as long as they do not unnecessarily increase patient and caregiver burden. The goal of the current study was to identify whether using more wearable sensors improved the estimation...
In this paper, we present the design of a wearable photoplethysmography (PPG) system, R-band for acquiring the PPG signals. PPG signals are influenced by the respiration or breathing process and hence can be used for estimation of respiration rate. R-Band detects the PPG signal that is routed to a Bluetooth low energy device such as a nearbyplaced smartphone via microprocessor. Further, we developed...
This paper presents a button-like wearable wireless non-contact system (NCMB-Button) for long-term multiple biopotential monitoring. Featured non-contact detection based on ultra-high input impedance of the analog front end, the NCMB-Button is capable of acquiring multiple biopotential signals including ECG, EMG, and EEG, through multiple layers of cloth without directly contacting human skin. The...
Static stretching is widely performed to decrease muscle tone as a part of rehabilitation protocols. Finding out the optimal duration of static stretching is important to minimize the time required for rehabilitation therapy and it would be helpful for maintaining the patient's motivation towards daily rehabilitation tasks. Several studies have been conducted for the evaluation of static stretching;...
Medical wrist band, also known as medical identification tape, is a kind of wrist band, mainly used to mark the basic information of patients and help medical personnel to identify patients status. However, the traditional medical wrist has a single function, it cannot monitor the vital signs of patients. Based on the traditional medical wrist band, through the hardware facilities such as sensor and...
In this paper we present the research conducted on synchronous measurements of biosignals. The experiment was conducted to evaluate the possibility of estimating vital signs based on eye tracking. Method: The eGlasses platform was used for acquisition of ECG, respiration rate, eye and pupil movement and blood pressure. Data were acquired in three 5 min. intervals during which a subject was performing...
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