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.
Mobile and long-term recording of biomedical signals, such as electrocardiogram (ECG), electromyogram (EMG), and EEG, can improve diagnosis and monitor the evolution of several widespread diseases. However, it requires specific solutions, such as wearable devices, that should be particularly comfortable for patients, while at the same time ensuring medical-grade signal acquisition quality, including...
The purpose for researchers in medical electronics field, in signal processing and information field is to provide powerful and low-cost systems to help doctors to make his specific spots. In this paper, a biomedical monitoring system is proposed based on LabVIEW FPGA. This monitoring system has the advantage to acquire and analyze several physiological signals. The Electrocardiogram (ECG), Electroencephalogram...
Interface design based on biosignals, recently interest various engineering discipline. Biosignals are complex signals due to difference personals and different physical activity involvement. The purpose of this research is to design a biosignals-based control system for the interface of current-induced devices used in physical activities. The scope of this study involves biosignals, for instances,...
Different physiological parameters of a human being are measured to accurately diagnose the related disease. Though there are numerous physiological parameters this paper emphasizes on some of the most common physiological parameters such as blood pressure, EMG, sEMG, heart rate and ECG which are of primary importance to elderly people. Accurate measurement and analysis of these parameters can lead...
In this paper, we have analyzed the physical and mental performance of computer user due to the long term use of computer by analyzing the variations in physiological signals. Performances of computer user are monitored by recording and analyzing the variations in Electrocardiogram (ECG), Electromyogram (EMG), Electrooculogram (EOG), and Electroencephalogram (EEG). Detecting the performance of computer...
This paper presents an Intelligent Electrodes and Active Cable based wearable medical system. Within each Intelligent Electrode, an Application Specific Integrated Circuit (ASIC) is integrated which includes a gain-bandwidth selectable analog front-end circuit, an 8-bit SAR ADC and a digital controller. The key of the ASIC is the analog front-end circuit with tunable gain and bandwidth which can be...
A 0.5 μVrms, 12 μW wirelessly powered patch type fabric sensor is presented for wearable body sensor network to continuously monitor personal bioelectric signals. Thick film electrodes are screen printed on the fabric with various metal components and their impedances of ˜100 kΩ are characterized. A 2-stage nested chopped analog readout front end (AFE) is optimized for the fabric sensor with reduced...
A safe electrical connection between an integrated circuit and the human body is required for the recording of physiological signals such as ECG, ENG, or EMG. The recording chip is typically connected to the patient through a blocking capacitor, which prevents the flow of DC currents in the event of circuit failure. However, in systems with a high integration density blocking capacitors become inconvenient...
We developed and tested the Berkeley Tricorder, a health monitoring device capable of measuring a subject's ECG, EMG, Blood Oxygenation, Respiration (via Bioimpedance), and motion--almost equivalent to the feature set of a hospital bedside patient monitor. Our focus has been a highly integrated design incorporating the radio and all associated circuitry on a single PCB. The device stores data locally...
In this paper, we present a new analog-front-end system including surface-mounted dry electrode by MEMS dry electrode (MDE) and instrumentation amplifier by chopper-stabilized differential difference amplifier (CHDDA) for physiological signal recording applications. Comparing to traditional electrodes, proposed MDE shows its superior advantages for low electrode skin interface impedance and need not...
Sleep disorders affect over 40 million patients and represent a significant a significant risk factor for many, often life threatening diseases. Technologies available for diagnostics and treatment typically involve the recording of key biomedical signals including ECG, EEG, EMG, SpO2, and respiration. Overnight measurement of such parameters is often compromised by the discomfort imposed by conventional...
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.