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Wearable smart sensing is a promising technology to enhance user experience that has already been exploited in sport/fitness, as well as health and human monitoring. Wearable sensing systems not only provide continuous data monitoring and acquisition, but are also expected to process, and make sense of the acquired data by classification in similar ways as human experts do. Supporting continuous operation...
A sensor is a device that senses, perceives, or distinguishes and responds to an input from a physical location and provides an output that is human decipherable. As obesity levels all over the world are reaching the sky, especially in the U.S., China, and India, the use of sensors can help in managing rising obesity levels. There are many traditional dietary assessment methods such as doubly labeled...
Noninvasive wearable human health monitoring devices are developed to improve the comfort, convenience, and security of humans in their life. Ultrasound technology has been used for imaging the human body for over half a century. In this study, the use of ultrasound as a wearable device for human health monitoring is introduced. This work investigates analysis of the heart motions for heart rate extraction...
This paper presents linearity enhancement capacitor re-configuring technique to improve the Spurious Free Dynamic Range (SFDR) and Signal-to-Noise-and-Distortion Ratio (SNDR) of ADC simultaneously without sacrificing the sampling rate in a 14-bit successive approximation register (SAR) analog-to-digital converter (ADC) for wearable electronics application. Behavioural Monte-Carlo simulations are presented...
Ambulatory blood pressure monitoring (ABPM) is a term used to describe measurement of blood pressure (BP) at regular intervals and can be an important diagnostic tool, especially for hypertensive patients. Since traditional cuff-based measurement of blood pressure is not convenient for a continuous, ABPM measurement, one approach that is being explored is pulse wave velocity (PWV), which is known...
At present telemedicine is widely used in developing countries for its variety of health services. In this paper, we have developed a low cost portable telemedicine tool kit for remote diagnosis of patients. Remote patient monitoring is one of the vital component of any telemedicine services. We have successfully able to collect patient data from any remote locations by using our developed tool kit...
Freezing of gait (FoG) is an aberrant gait in Parkinson's disease (PD), which is usually associated with fall risks and reduction of patients' life quality. Efficient intervention for patients to remove FoG has been proposed using context-aware rhythmic auditory cueing during FoG episodes, which relys on accurate detection of FoG. And clinical diagnosis of PD is partly based on the severity of FoG...
A new front end readout circuit for non-invasive, cuff-less, convenient blood pressure sensor is proposed in this study. The blood pressure sensor features continuous detection, low power and low cost. The sensor is able to detect pulse signals of the artery vibration under the skin of a human wrist. The front end circuit consists of a sensing circuit, an amplification, a peak-sensing circuit and...
At present, several studies exist describing the relevance of human factor in air transport with main focus on pilots and flight safety. Within such studies, monitoring of physiological functions is used. There are lot of physiological parameters and methods of their assessment; however, they are mostly based on principles originating from clinical practice. Yet, sensitivity and specificity of these...
Stroke is the primary cause of serious long-term disability in the world. A long period of a rehabilitation program is required for those patients with the function loss of upper limb motor. In order to track the progression of the rehabilitation, the approaches to assessment of upper limb performance is the important task to evaluate the effectiveness of therapies. However, the typical assessment...
Changes in peripheral arterial radius are tracked using non-invasive sensors and a simple local model for artery and tissue behavior. Sensing is performed using a conventional pulse plethysmograph and a custom-built piezoelectric pressure sensor. A simple mechanical model is used to relate sensor outputs to peripheral artery pressure and radius, using only radial tissue deformation under an assumption...
Quantifying the effects of blood pressure (BP) changes on the ballistocardiogram (BCG) signal shape and features can potentially improve the understanding of this mechanical modality of cardiovascular sensing. BCG, a measure of body movements caused by ejection of blood into the vasculature, has recently re-emerged as a promising method for trending cardiac output and myocardial contractility. Although...
Patient generated data or personal clinical data in general is considered an important aspect in improving patient outcomes. However, personal clinical data is difficult to collect and manage due to their distributed nature, i.e., located over multiple places such as doctor's office, radiology center, hospitals, or some clinics, and heterogeneous data types such as text, image, chart, or paper based...
Gait retraining is an important rehabilitation method for re-establishing health gait patterns resulting from disease or injury. Optical marker-based motion capture systems are effective for sensing but aren't used widely, due to cost and lack of portability. Moreover, to perform gait retraining, feedback is needed in addition to sensing. This paper presents a wearable sensing and haptic feedback...
Ageing populations and the increase in chronic diseases all over the world demand efficient healthcare solutions for maintaining well-being of people. One strategy that has drawn significant research attention is a focus on remote health monitoring systems based on Internet of Things (IoT) technology. This concept can help decrease pressure on hospital systems and healthcare providers, reduce healthcare...
The application of IoT has become widespread across several industries such as logistics, smart homes, smart cities, e-health, and agriculture. IOT based E-Health Systems provides healthcare services across a series of interconnected networks and IoT devices. In such type of systems data security remains to be the major issue as the data generated from the E-health systems are accessed by the variety...
This paper is focus on the progress of wearable technology in the area of human healthcare. It has been developed a small, low cost, low power consumption and open source wearable system that allows the monitoring of the human physical activities. One of the main reasons for developing this wearable system is to promote the sport activity and combat physical inactivity i.e. a sedentary lifestyle,...
Rapid advancement in wearable technology has unlocked a tremendous potential of its applications in the medical domain. Among the challenges in making the technology more useful for medical purposes is the lack of confidence in the data thus generated and communicated. Incentives have led to attacks on such systems. We propose a novel lightweight scheme to securely log the data from bodyworn sensing...
Objectives: Post hospitalization care of a patient treated for critical illness, for instance cardiac arrest has been regarded as imperative. Nevertheless, it has become inevitable to skip follow-ups by the patients themselves. Method: This paper aims at designing a system which continuously monitors the health of the patient despite the patient being busy with his routine. An application is developed...
Compressive sensing (CS) is a promising technology for realizing energy-efficient wireless sensors for long-term health monitoring. However, conventional model-driven CS frameworks suffer from limited compression ratio and reconstruction quality when dealing with physiological signals due to inaccurate models and the overlook of individual variability. In this paper, we propose a data-driven CS framework...
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