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.
Nowadays, the use of Electrocardiogram (ECG) as a detection tool of the condition of human heartbeat is still considered difficult. So, the idea of implementing this sensor is to enhance the quality of service and to minimize the cost of using and maintaining by determining the best way in implementing and monitoring ECG sensor. This research proposes a novel approach to observe the condition of human...
We are developing a BAN (body area network) using a machine measuring human 3D acceleration and electrocardiogram communicating to a PC by wireless during 24-hours. The purpose of our study is human healthy watching to alert to himself (herself) or care staffs by network if his (her) condition is bad, and not to alert if good. Our system estimate a person's bodily movement (walking, running, standing...
In monitoring a patient's real-time vital signs through Body Area Networks (BAN), rich data sources are communicated to medical practitioners. The benefit of BANs may be negated if medical practitioners are overloaded with streams of BAN data. It is essential that data is delivered in a timely context aware manner. In this paper a BAN designed for falls assessment among elder patients (65+ years)...
A body area network (BAN) for monitoring the autonomic nervous system responses is reported. The BAN is based on the Human++ UniNode, a small, low power generic wireless sensor node. Physiological signals are monitored using specifically designed ultra low power sensor front ends connected to the UniNodes. Two UniNodes compose the body area network, one on a chest belt to record ECG and respiration,...
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.