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.
This work investigates how Hidden Semi-Markov Model (HSMM) can be used to monitor and evaluate physical rehabilitation exercises by Kinect v2 to support medical personnel and patients during rehabilitation at home. Authors developed an exercises assessment method based on the extraction of motion features determined by clinicians. Five different rehabilitation exercises are modeled using a HSMM to...
Complications during pregnancy and childbirth are the leading cause of death among women and neonates in developing countries. To mitigate some of the risks, our research set out to develop an Android Based Digital Fetoscope, an application that would ease fetal heart monitoring and potentially reduce the number of neonatal deaths. We developed the data acquisition circuitry using a conventional pinard...
Passive RFID tags provide a promising way to create wireless and battery-free heart rate monitors. However, the reliability of these tags is limited in the presence of common noise sources in their environment. In this paper, we propose an algorithm to improve the beat detection for RFID based heart rate monitors in noisy environments. To achieve this, a logistic regression model is first employed...
A predicted heat strain model (PHSM) has been used to evaluate the thermal stress experienced by a human subject during exercise in a hot environment. In the PHSM, equations describing the thermal balance of a human body predict the physiological response, including sweat rate and internal temperature, for a given metabolic rate. In this paper, we propose that the heat balance equations of the PHSM...
Parameters obtained from the heart rate variability (HRV) signal have good prognostic value in the cardiovascular disease (CVD), thus can cover a relevant role in the estimation of the risk stratification, especially when they are associated to other clinical and demographic data. In the view of home monitoring of CVD patients, the possibility of using signals recorded only during night may greatly...
Mild Cognitive Impairment (MCI) results in a noticeable decrease in cognitive abilities but does not interfere with regular daily functions. Some patients with MCI may be able to return to age-appropriate cognitive abilities, but some will progress to dementia. Clinical interviews, tests and measurements are used to identify and monitor cognitive decline. Timely detection of cognitive decline provides...
The gait monitoring during daily-life is promising measure to predict mortality, functional decline and fall risk, and classification of gait activities has the possibility for further clinical usage. This paper introduces a simple ambulatory gait monitoring system using a single IMU attached on foot. The system consist of gait parameter estimation and simple gait activity classification algorithm...
Healthcare organizations have shown growing interest in implementing lean management. Through systematically identifying and eliminating waste, fewer resources are needed while similar or higher quality healthcare can be delivered. However, doing so demands a holistic view of the interrelationships between all sub-processes and their deliverables within a healthcare system. Gaining this view is challenging...
This report describes a small heartbeat monitoring system using capacitively coupled ECG sensors. Capacitively coupled sensors using an insulated electrode have been proposed to obtain ECG signals without pasting electrodes directly onto the skin. Although the sensors have better usability than conventional ECG sensors, it is difficult to remove noise contamination. Power-line noise can be a severe...
The aging of population presents a severe challenge to the traditional "face-to-face" diagnosis mode. Household health monitoring systems play a more and more important role in identifying health conditions, diagnosing diseases, assisting daily lives, etc. However, most existing health monitoring systems are incomplete. They always leave out some function, e.g., data preprocessing and scheduling...
Automatic food intake monitoring using wearable systems is a promising research direction in the fight against obesity and eating disorders. Previous work has indicated progress towards automatic food intake monitoring using acoustic sensors for detecting periods of food intake, swallowing and chewing detection, and discriminating between solid and liquid food intake. However, little effort has been...
Chronic Obstructive Pulmonary Disease (COPD) is a common preventable and treatable disease characterized by persistent airflow limitations. In COPD, exacerbations are worsening of symptoms beyond day-to-day variations that, if not promptly treated, could worsen the course of disease. This work presents a disease management system that remotely monitors the health status of patients and it detects...
Diabetes, and its expensive, life-threating consequences has become a global chronic disease crisis. Management of the disease is well understood, but poor patient compliance is very common. Wireless diabetes monitoring can engage physicians, but the cost and burden of such intervention is prohibitive. This paper describes an innovative, low-cost, cloud-based diabetes coaching support system being...
Falls in older adults are an increasing problem in western societies as the population ages. The objective of this paper is to provide an overview of the development process and user feedback of fall prevention exercise software designed for home-dwelling older adults. The developed system was given to 14 older adults for testing at home and testing lasted for up to 16 months. In addition, ten older...
Autism spectrum disorder (ASD) is a complex developmental disability characterized by deficits in social interaction. Gaze behavior is of great interest because it reveals the parsing strategy the participant uses to achieve social content. The legacy features in gaze fixation, such as time and area-of-interest, however, can not comprehensively reveal the way the participant cognizes the social scene...
Diabetes is a chronic disease that causes critical health problems, and eventually leads to damage major organs. The number of people with diabetes keeps increasing over the next decade. Diabetes requires lifetime treatment in patients' daily life. Although many patients already know that tight glucose control is a critical factor of success for the quality of life, they still fail to monitor their...
Nowadays there is a rich diversity of sleep monitoring systems available on the market. They promise to offer information about sleep quality of the user by recording a limited number of vital signals, mainly heart rate and body movement. Typically, fitness trackers, smart watches, smart shirts, smartphone applications or patches do not provide access to the raw sensor data. Moreover, the sleep classification...
Integrated care has been increasingly advocated as an approach to promote better coordination of services and quality of care at different levels. In this study, views were elicited from different users of the healthcare system (patients, informal carers and healthcare professionals) in four European countries. The views pertained to current states of care and the role that remote patient monitoring...
The recent rise in the availability of sensors to monitor our day-to-day lifestyles calls for techniques to glean information out of the generated data. For many of these sensors, the data recorded is periodic in nature. Moreover, it has been shown that a change in this periodic data is correlated to a shift in physical or mental health. We present a technique to compare this repetitive data, both...
This work presents an integrated system-on-chip (SoC) that forms the core of a long-term, fully implantable, battery assisted, passive continuous glucose monitor. It integrates an amperometric glucose sensor interface, a near field communication (NFC) wireless front-end and a fully digital switched mode power management unit for supply regulation and on board battery charging. It uses 13.56 MHz (ISM)...
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.