Adaptive Signal Analysis and Interpretation for Real-time Intelligent Patient Monitoring

1994 ◽  
Vol 33 (01) ◽  
pp. 60-63 ◽  
Author(s):  
E. J. Manders ◽  
D. P. Lindstrom ◽  
B. M. Dawant
Keyword(s):  
Computer Architecture ◽  
Real Time ◽  
Data Abstraction ◽  
Monitoring Strategy ◽  
Intelligent Monitoring ◽  
Patient Status ◽  
On Line ◽  
Main Components ◽  
And Control ◽  
Adaptive Signal

Abstract:On-line intelligent monitoring, diagnosis, and control of dynamic systems such as patients in intensive care units necessitates the context-dependent acquisition, processing, analysis, and interpretation of large amounts of possibly noisy and incomplete data. The dynamic nature of the process also requires a continuous evaluation and adaptation of the monitoring strategy to respond to changes both in the monitored patient and in the monitoring equipment. Moreover, real-time constraints may imply data losses, the importance of which has to be minimized. This paper presents a computer architecture designed to accomplish these tasks. Its main components are a model and a data abstraction module. The model provides the system with a monitoring context related to the patient status. The data abstraction module relies on that information to adapt the monitoring strategy and provide the model with the necessary information. This paper focuses on the data abstraction module and its interaction with the model.

Experimental On-Line Frequency Domain Identification and Adaptive Control of a Flexible Slewing Beam

1996 ◽  
Vol 118 (1) ◽  
pp. 58-65 ◽  
Author(s):  
R. I. Milford ◽  
S. F. Asokanthan
Keyword(s):  
Frequency Domain ◽  
Real Time ◽  
Parametric Estimation ◽  
Identification Algorithm ◽  
Function Estimation ◽  
Persistent Excitation ◽  
Domain Identification ◽  
Frequency Domain Identification ◽  
On Line ◽  
And Control

This paper presents experimental results for the real-time adaptive identification and control of a flexible, slewing beam. A frequency domain identification algorithm incorporating non-parametric transfer function estimation and least squares parametric estimation is used to reconstruct an accurate parametric model of the system, capable of accurately tracking changing plant dynamics in real time. This model is subsequently used to produce an LQG compensator which actively damps beam vibration caused by rapid slewing manoeuvres with large payload changes. Non-persistent excitation is addressed in the context of identification during nominal motion. It is shown that after a short duration learning period, the proposed identification scheme will yield a model which is sufficiently accurate for controller synthesis.

The Impact of Filtering on Sea and Air Operations

1983 ◽  
Vol 36 (1) ◽  
pp. 74-80
Author(s):  
M. G. Pearson
Keyword(s):  
Real Time ◽  
Kalman Filtering ◽  
The Other ◽  
Estimation Methods ◽  
Weighted Mean ◽  
Modern Approach ◽  
On Line ◽  
Computer Based ◽  
And Control ◽  
The Impact

Estimation methods and filtering techniques are nowadays an integral part of any computer-based navigation system. The purpose of these techniques is to provide an estimate of required variables which is sufficiently accurate for real-time command and control purposes. Repeatability, which is important for so many applications, is deemed to be a by-product of the estimation process. For this requirement it is not strictly necessary for the process to be accurate, it is sufficient if it is only consistent; these are closely linked but one does not imply the other. The modern approach is to minimize the variance of the noisy observations or the sum of the squares of the residuals, and the methods available for doing this are increasingly refined. The impression given in the literature (and it is extensive) is that data processing can somehow compensate for the shortcomings of the basic sensors with respect to the operation being considered. Within certain limits this is true, but the real reason for the sudden surge of Kalman filtering for real-time on-line applications was the relative simplicity of the computational process. In a way, Kalman filtering has done for estimation theory what the Fast Fourier Transform has done for spectral analysis.The concept is simple enough to state. It consists of combining two independent estimates of a variable to form a weighted mean. One of these estimates is a forecast and the other is the current measurement.

Monitoring and control using on-line ORP on the continuous-flow activated sludge batch reactor system

1997 ◽  
Vol 35 (1) ◽  
pp. 57-66 ◽  
Author(s):  
R.-F. Yu ◽  
S.-L. Liaw ◽  
C.-N. Chang ◽  
H.-J. Lu ◽  
W.-Y. Cheng
Keyword(s):  
Process Control ◽  
Activated Sludge ◽  
Real Time ◽  
Continuous Flow ◽  
Batch Reactor ◽  
Fixed Time ◽  
Monitoring And Control ◽  
Time Control ◽  
On Line ◽  
And Control

On-line monitoring of ORP has been proved to be a practical and useful technique for process control of wastewater treatment systems. This paper presents the feasibility of using on-line ORP monitoring system on a laboratory scale single tank continuous-flow activated sludge batch reactor, which is capable of removing carbon, nitrogen and phosphorus pollutants. Two control strategies, fixed-time and real-time, are applied for process control. Results obtained from fixed-time control study indicate that the variations and the ORP profile can accurately represent dynamic characteristics of system; the pH profile can also indicate some of those characteristics. Also, the breakpoints, setpoints and settime on the ORP and pH profiles are used to establish the real-time control strategy to determine the transfer of operation stages. The real-time experiments show a better performance than fixed-time, thus, on-line ORP and pH monitoring and control is practical for continuous-flow batch activated sludge process control.

Trajectory Planning and Control of a Quadrotor Choreography for Real-Time Artist-in-the-Loop Performances

2018 ◽  
Vol 06 (01) ◽  
pp. 1-13 ◽  
Author(s):  
Michael El-Jiz ◽  
Luis Rodrigues
Keyword(s):  
Real Time ◽  
Musical Instrument ◽  
Generator System ◽  
Shaping Filter ◽  
Planning And Control ◽  
Time Interaction ◽  
Effective Performance ◽  
Main Components ◽  
And Control ◽  
Trajectory Generator

This paper proposes a systematic methodology for the guidance, control, and navigation of a quadrotor to perform a choreographed dance in real-time as a function of, and interacting with, the music performed by an artist-in-the-loop. This methodology allows for a real-time interaction with improvized music by an artist based on the pitch of the acoustic signal being played without prior knowledge of the music. The four main components of a human choreography (namely, the notions of space, shape, time and structure) are analyzed and mathematically formulated for a robotic performance. A new approach for mapping music features to trajectory parameters is proposed, as well as the design of a trajectory shaping filter based on two coefficients that are set in real-time by an artist through a MIDI foot-pedal board. The proposed approach maps motion parameters and the music to trajectory motifs that are then switched in harmony with the chord structure. The overall system is validated in a hardware-in-the-loop simulation where the hardware will consist of the musical instrument and the foot pedals. In the simulation, the trajectory generator system is inverted to generate a sequence of music pitches from the actual trajectory of the quadrotor. The music generated by the quadrotor is then played back to the musician allowing for real-time interaction. The simulation results show that the proposed methodology yields an effective performance for a quadrotor choreography based on the real-time interaction with a musician. The proposed system was successfully used by an artist as can be seen in a video link to the work described in this paper and listed in the conclusions.

Intelligent Monitoring System of Battery Based on CAN Bus

2011 ◽  
Vol 130-134 ◽  
pp. 2568-2572
Author(s):  
Yi Song Guo
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Can Bus ◽  
Bottom Layer ◽  
Measuring System ◽  
Intelligent Monitoring ◽  
The Core ◽  
On Line ◽  
Comprehensive Judgment

The intelligent monitoring system of battery with CAN bus is introduced, which is composed of two layer net, the C8051F045 controller is the core of measuring system, the bottom layer is measuring board based on intelligent battery monitor DS2438 fixed on each battery, it measures the battery parameter such as voltage, current and temperature on line, exchanges dates with C8051F045 by the single bus. The top layer is the CAN bus, by which connected the super monitoring compute and C8051F045 controllers. The system can real-time measure battery parameters remotely, forecast accurately the invalid battery according to the comprehensive judgment, and can improve the reliability of the serial battery.

On-Line Fault Intelligent Monitoring Diagnosis System of Blower

2011 ◽  
Vol 128-129 ◽  
pp. 928-932
Author(s):  
Rong Fu Zhou ◽  
Ding Xin Shuai ◽  
Yu Tang ◽  
Xue Tong Zhang
Keyword(s):  
Real Time ◽  
Vibration Signal ◽  
Time Analysis ◽  
Intelligent Monitoring ◽  
Diagnosis System ◽  
Real Time Analysis ◽  
Fault Type ◽  
Gear Fault ◽  
On Line ◽  
Axial Channeling

The structure of gas blower group is complex. There are many types of fault and many fault are hidden, such as axial channeling move, rotor rubbing, resonance of sliding bearing oil film, gear fault , unbalanced, misalignment .etc. The happening of these kind of fault, will affect seriously the efficiency and safety of operation of the gas blower, leading to the paralysis of the production system. Therefore, it is necessary to design an On-line fault intelligent monitoring diagnosis system for gas blower group as soon as possible. When on-line monitoring , at the same time ，the computer in the background online real-time analysis all kinds of dynamic vibration signal automatically, discriminate the operating status of these blower group, depend on consequence of all kinds of analysis , by intelligent reasoning, online real-time display fault type, the cause, site and severity. Can also be offline man-machine interactive for intelligent diagnosis precision.

On-Line Identification and Control of Part-Preparation and Fixturing Errors in Arc Welding

1993 ◽  
Vol 115 (4) ◽  
pp. 385-389 ◽  
Author(s):  
S. Nagarajan ◽  
H. C. Wikle ◽  
B. A. Chin
Keyword(s):  
Real Time ◽  
Thermal Imaging ◽  
Arc Welding ◽  
Imaging Techniques ◽  
Welding Process ◽  
Robotic Welding ◽  
Infrared Thermal Imaging ◽  
Joint Preparation ◽  
On Line ◽  
And Control

Sensing elements need to be incorporated in robotic welding systems to enable the robot to perceive and adapt to on-line variations occurring in the welding process. In this work, infrared thermal imaging techniques have been used to track variations produced by inadequate control during the joint preparation and fixturing stages. Variations in two joint parameters, gap and position, were studied. Changes in these parameters were found to have peculiar effects on the surface temperature distributions. The observed effects were used to develop quantitative error signals. These error signals were then used to measure the joint gaps and joint-torch offsets in real-time. The joint torch offset error signal was successfully used to control an initial error in joint position during real-time welding.

The Research of Detection and Control System for Indoor Harmful Gas

2014 ◽  
Vol 577 ◽  
pp. 689-692
Author(s):  
Hai Qun Wang ◽  
Peng Wang
Keyword(s):  
Real Time ◽  
Information Transfer ◽  
Liquid Crystal Display ◽  
Interface Circuits ◽  
Sensor Interface Circuits ◽  
On Line ◽  
Sensor Temperature ◽  
Upper Computer ◽  
And Control ◽  
Collection And Management

Aiming at indoor harmful gas pollution of residents, a real-time online monitoring system is designed based on the detecting and control of harmful gases. The lower computer system make the STM32F103 microcontroller as the core and make each module been designed which included the sensor temperature and humidity acquisition, gas concentrations acquisition, sensor interface circuits, signal amplification circuit, liquid crystal display circuit, alarm circuit and so on. The upper computer make the microcomputer as the monitoring center which make on-line display of temperature, humidity and gas concentration in real-time, then people can get the indoor harmful gas data for collection and management with the upper computer. CAN bus is adopted for information transfer between the master computer and the slave computer.

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