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.
It is currently highly demanded to achieve a home health examination device for multiple physiological data and remote monitoring. In this paper, we propose a scheme to detect and transmit multiple physiological data, and then display them on smart devices by the Bluetooth. Further, these messages are sent to the web server for remote monitoring based on the Internet. The mobile terminal programs...
A portable telemedicine monitoring information system is proposed in this paper, which can be used for monitoring the patient's medical or health conditions anytime and anywhere the mobile internet network exists. The system includes two main parts, the monitoring terminals and the doctor's work station in a remote hospital. The monitoring terminals use a wireless transmitter and an ARM9 embedded...
In electrocardiogram real-time monitoring, the ST segment detection is important, it has close relationship with myocardial ischemia and myocardial infarction. In this paper, ST detection is divided into two parts, firstly using wavelet and morphology method to calculate the offset direction, waveform and summarizing features of ST, eventually divide the ST in 15 types; next analyzing the ST waveform...
Automated External Defibrillators (AED) are basic portable defibrillators that are designed for minimally-trained or untrained non-medical personnel. A microprocessor inside the defibrillation automatically analyzes the patient's heart rhythm and advises the operator whether a shock is needed. Audible and visual prompts will guide the user through the process. AED would advise a shock only to ventricular...
An algorithm of premature contraction recognition is proposed. Based on R-R interval and template matching, this method can automatically detect Atrial Premature Contraction (APC) and Premature Ventricular Contraction (PVC). After test results using data from MIT-BIH Arrhythmia Database, the accuracy veracity detection of R wave is above 98.6%, APC is above 96% and PVC is above 90%.
A key component in automatic external defibrillator (AED) is to discriminate ventricular fibrillation (VF) from non VF by means of appropriate detection algorithms, which should have a high detection quality, be easily implementable, and work in real time. In this study, we presented a novel and computationally simple algorithm for VF detection using sample entropy (SampEn) method. To evaluate the...
In this paper we present a novel wireless acquisition system for the real ambulance field which could be equipped on ambulance vehicle to realize pre-hospital treatment for patients. The distinctive feature of the system is that it can not only provide biomedical information including the oxygen saturation, the ECG, the blood pressure, the temperature and the heart rate of patients, but also supply...
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.