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There is a relation, not always linear, between the blood pressure and the pulse duration, obtained from photoplethysmography (PPG) signal. In order to estimate the blood pressure from the PPG signal, in this paper the Artificial Neural Networks (ANNs) are used. Training data were extracted from the Multiparameter Intelligent Monitoring in Intensive Care waveform database for better representation...
One of the main challenges in implementing an optimal home-based exercise program in older adults and individuals with cardiovascular conditions is the requirement to ensure exercise safety and prevention of any undesirable side effects. A crucial component to achieve this requirement is the ability to monitor blood pressure (BP) during exercise. The goal of this project was to introduce and to test...
This paper presents a continuous and non-invasive blood pressure monitoring system, which can measure the blood pressure without the use of a inflatable cuff. A wearable IEEE 802.15.4-based Wireless Body Sensor Network (WBSN) composed by a photoplethysmographic (PPG) sensor node located on the forehead, and an electrocardiographic sensor node located on the chest, is used to measure the propagation...
State-of-the-Art disease management for Congestive Heart Failure (CHF) patients is still based on easy-to-acquire measures such as heart rate (HR), weight and blood pressure (BP). However, these measures respond late to changes of the patient health status and provide limited information to personalize and adapt medication therapy. This paper describes our concept called “Cardiac Status Assessment”...
The focus of this paper is continuous non-invasive blood pressure monitoring. We used electrocardiography (ECG) and photoplethysmography (PPG) to compute pulse arrival time (PAT) between heart and finger. PAT was measured as the time difference between the R-peak of ECG and a characteristic point of PPG. We defined different characteristic points on PPG and compared their suitability for blood pressure...
In this paper, a wearable medical device for Electrocardiogram (ECG) and blood pressure monitoring is presented. Its basis is a validated and certified existent medical device. This device was evolved in order to allow new physiological signal monitoring and real time assessment of blood pressure levels by adding a photoplethismography (PPG) probe and the incorporation of new algorithms in an online...
Non invasive and continuous measurement of blood pressure can enable an effective 24/7 monitoring of hypertensive patients to timely prevent cardiovascular problems and precisely regulate anti-hypertension cures. Unfortunately, to date, blood pressure can be only measured through either cuff-based or invasive instruments that cannot be continuously used due to their characteristics. This paper proposes...
Pulse wave velocity (PWV) is a marker of arterial stiffness and may permit continuous, non-invasive, and cuff-less monitoring of blood pressure. Here, robust PWV estimation was sought by application of system identification to proximal and distal arterial waveforms. In this approach, the system that optimally couples the proximal waveform to the distal waveform is identified, and the time delay of...
Cardiac output (CO) and stroke volume (SV) are the key hemodynamic parameters to be monitored and assessed in ambulatory and critically ill patients. The purpose of this study was to introduce and validate a new algorithm to continuously estimate, within a proportionality constant, CO and SV by means of mathematical analysis of peripheral arterial blood pressure (ABP) waveforms. The algorithm combines...
In this paper, a body sensor network (BSN) system for measuring systolic blood pressure (SBP) by a cuffless approach based on h-Shirt has been developed. Two experiments were conducted on a total of 22 subjects to evaluate the cuffless calibration approach and BSN system respectively. The results showed that using the estimated time and distance travelled by a pulse and a parameter derived from the...
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