scholarly journals BIOSIGNALS-BASED AIR TREATMENT CONTROL SYSTEM FOR NEUROVEGETATIVE PATIENTS

2021 ◽  
Vol 2(73) (2) ◽  
pp. 46-55
Author(s):  
Ștefan-Radu Bala ◽  
◽  
Ionuț Banu ◽  
Tania-Ioana Cîmpeanu ◽  
Bogdan-Gabriel Duță ◽  
...  
Keyword(s):  
Control System ◽  
Environmental Parameters ◽  
Recovery Process ◽  
Optimal Parameters ◽  
Treatment Control ◽  
Global Epidemic ◽  
Air Treatment ◽  
Emg Signal ◽  
Signal Amplifier ◽  
Conditioning Control

The global epidemic of COVID-19 has highlighted a not obvious weakness of the medical system, namely establishing a favorable environment that can also contribute to the recovery process. This has led to many medical complications and the gravity of this situation could be mitigated by simply implementing an automatic system for monitoring and adjusting environmental parameters. The paper highlights how the bio signals sampled by the sensors will be used for the calibration of the heating ventilation air conditioning control system and maintain the optimal parameters both in terms of temperature and humidity, which will prevent the development and transmission of microbes, while the ECG device and the EMG signal amplifier will help with the monitoring of the neurovegetative patients.

Simulation and Design of Double Close-Loop DC Motor Control System Based on Matlab

2012 ◽  
Vol 546-547 ◽  
pp. 248-253
Author(s):  
Jing Jing Xiong ◽  
Zhen Feng ◽  
Jiao Yu Liu
Keyword(s):  
Motor Control ◽  
Control System ◽  
System Design ◽  
Closed Loop ◽  
Dynamic Performance ◽  
Model System ◽  
Optimal Parameters ◽  
Actual System ◽  
Dc Motor Control ◽  
Motor Control System

In this paper, based on the principle of the speed and current double closed loop DC regulating system and the requirement of the static and dynamic performance, we calculate time constant of the regulator, select the structure of the regulator to calculate related parameter and then correct its parameters, and model system and simulation by using Simulink, analysis waveform and debug to find out the optimal parameters of the system regulator to guide the actual system design.

Design of Bus Air-Conditioning Control System Based on PIC18F458

2013 ◽  
Vol 774-776 ◽  
pp. 407-410
Author(s):  
Qiu Hua Miao ◽  
Zhi Guang Guan
Keyword(s):  
Control System ◽  
Air Quality ◽  
Air Conditioning ◽  
Control Unit ◽  
Analog Signal ◽  
Conditioning Control

In this paper, a kind of efficient air-conditioning control system is proposed. PIC18F458 is adopted as main control unit of the system , which collects all kinds of analog singles such as temperature, humidity and so on, then convert them to digital by the A/D itself. After disposing and calculating each analog signal the system drives corresponding actuator to work to adjust temperature, humidity and cleanness of the air in bus, making passengers satisfied with air quality in bus.

Smart Prosthetic Hand with Object Slippage Detection, Measurement, and Control

2014 ◽  
Vol 5 (3) ◽  
pp. 25-48
Author(s):  
Girish Sriram ◽  
Alex Jensen ◽  
Steve C. Chiu
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Degrees Of Freedom ◽  
Sensory Feedback ◽  
Position Control ◽  
Tactile Feedback ◽  
Human Hand ◽  
Computing Platform ◽  
Emg Signal ◽  
A New Technique

The human hand along with its fingers possess one of the highest numbers of nerve endings in the human body. It thus has the capacity for the richest tactile feedback for positioning capabilities. This article shares a new technique of controlling slippage. The sensing system used for the detection of slippage is a modified force sensing resistor (FSR®). The control system is a fuzzy logic control algorithm with multiple rules that is designed to be processed on a mobile handheld computing platform and integrated/working alongside a traditional Electromyography (EMG) or Electroencephalography (EEG) based control system used for determining position of the fingers. A 5 Degrees of Freedom (DOF) hand, was used to test the slippage control strategy in real time. First a reference EMG signal was used for getting the 5 DOF hand to grasp an object, using position control. Then a slip was introduced to see the slippage control strategy at work. The results based on the plain tactile sensory feedback and the modified sensory feedback are discussed.

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