NIYANTRA Documents
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Contact Information
Name of the College : Poojya Doddappa Appa College of Engineering
Name of the Team Members along with their respective current semester : 1) Abdullah Mushtaq Ahmed, 8th semester
2) Akshata Koppa, B.E completed
3) Ambika, B.E completed
4) Amrapali.M.Nirnakar, B.E completed
5) Mohd Imran Ahmed, 5th semester.
E-Mail Address & Phone Number of the Team Leader : abdullahm.705@gmail.com ; Phone No. +91-9945036705
Name of the Faculty Guide : Prof. Channappa Bhyri
E-Mail Address & Phone Number of the Faculty Guide : channubhyri@yahoo.com ; Phone No. +91-9448567913
Project Information
Project Title: Real-Time Patient Telemonitoring System Using LabVIEW
Hardware & Software Used:
Software Tools :
- National Instruments LabVIEW and toolkits.
- AVR Studio IDE.
- AVR GCC Compiler
- RTOS
Hardware Tools :
- Microcontroller.
- USART.
- ATmega32.
- Biomedical Sensors.
- LCD.
- Data Card (modem).
What challenge/problem are you trying to solve through your application:
Remote patient tele-monitoring system using LabVIEW enabled computer enables doctors to monitor the vital bio-signal such as heart rate, Respiration, body temperature and saline monitoring of patients in ICU/CCU using the real time waveform and data monitoring function of installed LabVIEW based application on computer. The need for real time notification of vital signs of patient to the doctor is of prime importance, thus the need of active database system arises, and that is grouped with patient monitoring device. The importance of PMS in medical treatment is very high; therefore the medical manufacturers are introducing centralized PMS. In centralized PMS all patient monitors are connected with a single server based PMS. The TCP/IP protocol suite based architecture systems are capable to upgrade the PMS’s firmware and software through dedicated TCP/IP protocol suite via open communication network. For a more efficient patient care by the caregivers, the PMS must be incorporated with smart alarm systems.
How does your application solves the above mentioned challenge/problem:
Data Acquisition Module (DAM)
The data acquisition subsystem is designed taking into consideration the requirements of a nonclinical situation. The device should be easily connected to the remote computer and should not require any adjustments to be made by the patient. The DAM is implemented as a battery operated device. The signal is amplified as close to the source as possible to alleviate loss of representation. However, the gain of the signal should not be too high to prevent DC offset and noise saturating the amplifier. The removes of unwanted frequencies in this case requires three filters. A low-pass filter is implemented cascaded the signals from the gain amplifier with frequency higher than 100Hz A notch filter or band reject filter is used to reduce 60 Hz noise. Finally, a high-pass filter is used to allow the signal that has frequency above 10Hz. It is be noted that a band-pass filter is not used because the pass-band was large, and it is recommended cascaded high-pass, low-pass filters be used in this case. The digital section comprises the data conversion section and the control unit.
The control unit governs the sampling frequency, and it can be switched between (200-400) samples per second. The control unit also implements the bi-directional communication protocol to the PC, through a proper RS-232 interface provided in the DAM. The control unit is built around the Microchip PIC 16F877 with a 10-MHz clock Microcontroller. It does allow a sampling frequency of 200 samples per seconds although; the patient has to stay close to the PC during the monitoring period.
Client and Server Applications
The client server architecture is defined as follows: the client application provided visualization, archiving, transmission, and contact facilities to the remote user (i.e., the patient). And provides control of the acquisition module. The server, which is located at the physician’s end takes care of the incoming data, and organizes patient sessions. The client application and the server application is designed and developed using LabVIEW.
The client’s application is mainly to measure the patient’s heart rate, temperature, respiratory rate, saline status and based on the waveform generated by (DAM) in real time. While the server is running, the client (patient) can start a session from anywhere in the Internet by accessing the server’s connection port and providing a proper log in and pass -word. Before any interconnection has been accomplished, the DAM is totally under the control of the client. The entire system web site is written in LabVIEW.
LabVIEW:
The LabVIEW software is used as the integrating platform for acquiring, processing and transmitting the physiological data as it is an excellent graphical programming environment to develop sophisticated measurement, test, and control systems using intuitive graphical icons and wires that resemble a flowchart. The software also includes number of advanced mathematics blocks for functions such as integration, filter and other specialized capabilities. The LabVIEW Professional Development System allows creating stand-alone executables and the resultant executable can be distributed an unlimited number of times. The run-time engine and its libraries can be provided freely along with the executable.
LabVIEW has been used to build programs and URLs, to send and receive data
using the Telnet protocol, to store and retrieve files from FTP servers, to publish Vis on the Web, and to control remotely VIs from a Web browser. LabVIEW Internet Toolkit includes the G Web Server, which is an HTTP/1.0-compatible
server that we have used to run applications on the Web.
Description of Project:
Time is the most important factor that determines whether a person who is seriously injured in an accident or a person who just had stroke survives or not. The hospitals often receive patients whose lives cannot be saved due to late arrival cause by traffic congestions, VVIP movements and disregard for emergency vehicles on roads. Besides, most of the ambulances are not well equipped to tackle emergency cases on the way. The emergency cases need immediate surgical intervention and intensive monitoring, hence operation theatre and ICU bed have to be prepared according to the emergency for which one needs to monitor the vital parameters of the patient and do a quick diagnosis for choosing treatment procedure. In order to minimize the time utilized for procedure preparation, it would be convenient if patient’s clinical data reaches the doctors well in advance; this is where telemetry comes to play, so they are well prepared on the arrival of patient.
The steps behind achieving telemetry in ambulance are acquisition of physiological parameters such as Electrocardiogram, Heart rate, Temperature and Respiratory rate, processing them in ambulance which is implemented using LabVIEW with greater accuracy and at cheaper price. Then transmitting them dynamically to web page that can be viewed by the doctors through wireless connection and also alerting in charge about abnormal parameters by sending alert on in his/her mobile by using android application so that proper preparation could be done. Thus, this idea proposes to eradicate the time constraint that influences the survival rate of the emergency cases.
Also, the medical world today faces two basic problems when it comes to patient monitoring, firstly the need of healthcare providers present bedside the patient and secondly the patient is restricted to bed and wired to large machines. In order to achieve better quality patient care, the above cited problems have to be solved. As the bioinstrumentation, computers and telecommunications technologies are advancing, it has become feasible to design a home based vital sign telemonitoring system to acquire record, display and transmit the physiological signal from the human body to any location.
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