A Continuous Opto-Electronic Sensor for Blood Pressure Monitoring With Real-Time System

2017 ◽  
Author(s):  
Yung-Hua Kao ◽  
Paul C.-P. Chao ◽  
Chin-Long Wey
Keyword(s):  
Blood Pressure ◽  
Real Time ◽  
Blood Pressure Monitoring ◽  
Maximum Error ◽  
Infrared Light ◽  
Band Pass Filter ◽  
Time System ◽  
Real Time System ◽  
Pass Filter ◽  
Programmable Gain

A new continuous wireless opto-electronic blood pressure (BP) sensor is successfully developed by this study. The BP device introduces the principle of photoplethysmograph (PPG) to sense the change of intravascular blood volume and calculate the BP. The real-time system adopts a LEDs of red/infrared light with a wavelengths of 660 and 905 nm. The analog front-end (AFE) circuit contains a pre-amplifier, a band-pass filter, a programmable gain amplifier (PGA), a microprocessor and a wireless module. A mobile phone is also used to display continuous BPs and record statistical analysis/results for users. The passband of filter is from 0.3 to 7.2 Hz. The PGA of adjustable gain are 8 channel. As results, 10 subjects in the experimental validation, in which the obtained BPs are compared with the results from a commercial BP monitor by OMRON. The maximum error of experimental results is ± 6 mmHg, which is less than ±8 mmHg conforming to the requirement by the Advancement of Medical Instrumentation (AAMI).

scholarly journals A Continuous Cuffless Blood Pressure Estimation Using Tree-Based Pipeline Optimization Tool

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 686
Author(s):  
Suliman Mohamed Fati ◽  
Amgad Muneer ◽  
Nur Arifin Akbar ◽  
Shakirah Mohd Taib
Keyword(s):  
Machine Learning ◽  
Blood Pressure ◽  
Blood Pressure Monitoring ◽  
Notch Filter ◽  
Absolute Error ◽  
Skin Surface ◽  
Central Line ◽  
Band Pass Filter ◽  
K Nearest Neighbors ◽  
Pass Filter

High blood pressure (BP) may lead to further health complications if not monitored and controlled, especially for critically ill patients. Particularly, there are two types of blood pressure monitoring, invasive measurement, whereby a central line is inserted into the patient’s body, which is associated with infection risks. The second measurement is cuff-based that monitors BP by detecting the blood volume change at the skin surface using a pulse oximeter or wearable devices such as a smartwatch. This paper aims to estimate the blood pressure using machine learning from photoplethysmogram (PPG) signals, which is obtained from cuff-based monitoring. To avoid the issues associated with machine learning such as improperly choosing the classifiers and/or not selecting the best features, this paper utilized the tree-based pipeline optimization tool (TPOT) to automate the machine learning pipeline to select the best regression models for estimating both systolic BP (SBP) and diastolic BP (DBP) separately. As a pre-processing stage, notch filter, band-pass filter, and zero phase filtering were applied by TPOT to eliminate any potential noise inherent in the signal. Then, the automated feature selection was performed to select the best features to estimate the BP, including SBP and DBP features, which are extracted using random forest (RF) and k-nearest neighbors (KNN), respectively. To train and test the model, the PhysioNet global dataset was used, which contains 32.061 million samples for 1000 subjects. Finally, the proposed approach was evaluated and validated using the mean absolute error (MAE). The results obtained were 6.52 mmHg for SBS and 4.19 mmHg for DBP, which show the superiority of the proposed model over the related works.

Real-Time System for Sending Data from Three Clients to One Server with MATLAB

2015 ◽  
Vol 2 (1) ◽  
pp. 35-41
Author(s):  
Rivan Risdaryanto ◽  
Houtman P. Siregar ◽  
Dedy Loebis
Keyword(s):  
Information System ◽  
Real Time ◽  
Time System ◽  
Real Time System ◽  
The Real ◽  
Performance Time ◽  
Data Process ◽  
Effectiveness And Efficiency

The real-time system is now used on many fields, such as telecommunication, military, information system, evenmedical to get information quickly, on time and accurate. Needless to say, a real-time system will always considerthe performance time. In our application, we define the time target/deadline, so that the system should execute thewhole tasks under predefined deadline. However, if the system failed to finish the tasks, it will lead to fatal failure.In other words, if the system cannot be executed on time, it will affect the subsequent tasks. In this paper, wepropose a real-time system for sending data to find effectiveness and efficiency. Sending data process will beconstructed in MATLAB and sending data process has a time target as when data will send.

The Goal-Setting Model in a Multiagent Hard Real-Time System

Vestnik MEI ◽  
2018 ◽  
Vol 5 (5) ◽  
pp. 73-78
Author(s):  
Igor В. Fominykh ◽  
◽  
Sergey V. Romanchuk ◽  
Nikolay Р. Alekseev ◽  
◽  
...  
Keyword(s):  
Real Time ◽  
Goal Setting ◽  
Time System ◽  
Real Time System ◽  
Hard Real Time

Modeling and application of an embedded real-time system based on real-time colored Petri net

2018 ◽  
Vol 51 (4-6) ◽  
pp. 333-345
Author(s):  
Lianli HUANG ◽  
Kui ZHOU
Keyword(s):  
Real Time ◽  
Petri Net ◽  
Colored Petri Net ◽  
Time System ◽  
Real Time System

Real-Time System: Specification and Verification

1989 ◽  
Author(s):  
K. T. Narayana
Keyword(s):  
Real Time ◽  
System Specification ◽  
Time System ◽  
Real Time System ◽  
Specification And Verification

Real Time System for Practical Acoustic Monitoring of Global Ocean Temperature. Volume 3

1994 ◽  
Author(s):  
John L. Spiesberger ◽  
Daniel E. Frye ◽  
John M. Kenny
Keyword(s):  
Real Time ◽  
Acoustic Monitoring ◽  
Global Ocean ◽  
Ocean Temperature ◽  
Time System ◽  
Real Time System

Design of Preliminary Experiments with the Sun Java Real-Time System

2006 ◽  
Author(s):  
T. S. Cook ◽  
D. Drusinsky ◽  
J. B. Michael ◽  
T. W. Otani ◽  
M. Shing
Keyword(s):  
Real Time ◽  
The Sun ◽  
Time System ◽  
Real Time System

Antarctic Peninsula sea levels: a real-time system for monitoring Drake Passage transport

2006 ◽  
Vol 18 (3) ◽  
pp. 429-436 ◽  
Author(s):  
P.L. Woodworth ◽  
C.W. Hughes ◽  
D.L. Blackman ◽  
V.N. Stepanov ◽  
S.J. Holgate ◽  
...  
Keyword(s):  
Southern Ocean ◽  
Real Time ◽  
Antarctic Peninsula ◽  
Tide Gauge ◽  
Drake Passage ◽  
Southern Annular Mode ◽  
Time System ◽  
International Polar Year ◽  
Real Time System ◽  
Sea Levels

Sub-surface pressure (SSP) data from tide gauges at three bases on the Pacific coast of the Antarctic Peninsula, together with SSP information from a bottom pressure recorder deployed on the south side of the Drake Passage, have been used to study the relationships between SSP, Drake Passage transport, and the strength of Southern Ocean zonal winds as represented by the Southern Annular Mode. High correlations were obtained between all parameters, confirming results obtained previously with independent data sets, and demonstrating the value of information from the permanent Rothera base, the southern-most site considered. These are important findings with regard to the design, installation and maintenance of observation networks in Antarctica. In particular, they provide the necessary justification for Antarctic Peninsula tide gauge infrastructure investment in the lead up to International Polar Year. Data delivery from Rothera and Vernadsky is currently being improved and should soon enable the first near real-time system for monitoring Drake Passage transport variability on intraseasonal timescales, an essential component of a Southern Ocean Observing System.

Tools for real-time system design

2003 ◽  
Author(s):  
R.A. Orr ◽  
M.T. Norris ◽  
R. Tinker ◽  
C.D.V. Rouch
Keyword(s):  
System Design ◽  
Real Time ◽  
Time System ◽  
Real Time System

ViFin

2021 ◽  
Vol 5 (1) ◽  
pp. 1-25
Author(s):  
Wenqiang Chen ◽  
Lin Chen ◽  
Meiyi Ma ◽  
Farshid Salemi Parizi ◽  
Shwetak Patel ◽  
...  
Keyword(s):  
Real Time ◽  
Real World ◽  
Wearable Devices ◽  
User Studies ◽  
Finger Movement ◽  
Writing System ◽  
Time System ◽  
Real Time System ◽  
Input Devices ◽  
A New Technique

Wearable devices, such as smartwatches and head-mounted devices (HMD), demand new input devices for a natural, subtle, and easy-to-use way to input commands and text. In this paper, we propose and investigate ViFin, a new technique for input commands and text entry, which harness finger movement induced vibration to track continuous micro finger-level writing with a commodity smartwatch. Inspired by the recurrent neural aligner and transfer learning, ViFin recognizes continuous finger writing, works across different users, and achieves an accuracy of 90% and 91% for recognizing numbers and letters, respectively. We quantify our approach's accuracy through real-time system experiments in different arm positions, writing speeds, and smartwatch position displacements. Finally, a real-time writing system and two user studies on real-world tasks are implemented and assessed.

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