Monday, October 28, 2019

WEEK 13 FYP2

WEEK 13
DATE: 22/10/2019-25/10/2019
SUPERVISOR: SIR SHAH RIZAILLI BIN MUKHTAR

👉 MEETING WITH SUPERVISOR
  • The meeting was held in Lab SPS 209. 
  • In the meeting, I show my project to the supervisor. The supervisor also check on my coding and also prototype. He also want to see the functionality and accuracy of the prototype.
  • There are some improvement need to be done such as solving coding error, measurement power supply ability on syringe pump and patient monitor.
  • I also need to control the sensor sensitivity and consistency.
  • Do more data collection, comparative study and to make sure that signal conditioning matching with serial monitor data including ranges. 

👉 TESTING ON MEDICAL EQUIPMENT


  • I did the testing on medical equipment and connect the Arduino Nano to the laptop. Then, I click on the serial monitor to analyze the frequency of alarm sound from medical equipment to make sure that the value is tally with the value that has been set in the coding.
  • Then, I did the testing on the accuracy of the detection. It shows that the sound sensor will not detect any other sound if the alarm sound is activated. The length of detection is also being measure from medical equipment. 
  • There is a problem with the coding where it it not able to detect false alarm. So I checked the coding and also troubleshoot the circuit.
  • I found that the sensor used is not functioning well anymore. I also did some correction on my Arduino coding.

Saturday, October 19, 2019

WEEK 12 FYP2

WEEK 12

DATE: 16/10/2019-18/10/2019
SUPERVISOR: SIR SHAH RIZAILLI BIN MUKHTAR

👉 IDEAS TO IMPROVE THE PRODUCT
  • This week I am thinking of improving my prototype in term of its design, accuracy of detection and getting more data. This is because during the FYP2 presentation, the accessors give the idea and also improvement that can be made for this product. 
  • In term of its design, the size of the existing prototype is quite bigger. It is better to make the size smaller as it would be much suitable to attach the product to the medical equipment. 
  • As for accuracy of detection, the improvement can be made in term of the distance of sound detection. It means that if the prototype is place near to one of the medical equipment, then it will not detect the alarm from another medical equipment eventhough the alarm sound is the same.
  • Data collection of the frequency of alarm sound must be continued because the more data collection, the more accurate the detection of the alarm sound. This time, I am thinking of using LabView to collect the data it will provide more smooth signal and more accurate frequency.
  • Before this, I am using different medical equipment to compare the frequency of both alarm. As for the improvement, I would like to compare the alarm sound of same medical equipment but different manufacturer. I will need the help from Radibems in Unikl BMI to get the medical equipment. The appointment need to be made in order to continue with this plan. 
  • I also need to improve the programming/coding to get a better result.


WEEK 11 FYP2

WEEK 11

DATE: 07/10/2019-08/10/2019
SUPERVISOR: SIR SHAH RIZAILLI BIN MUKHTAR

👉 PREPARATION FOR EXHIBITION DAY
  • I am experiencing difficulty the day before the presentation where the arduino nano board burn during the testing. There is no notification appear on the telegram when detecting the faulty alarm. Troubleshooting is made to identify the cause of the problem and also to check the connection of the wire with the component. I found out that maybe the arduino nano board is burn during soldering the jumper wire to the pin of arduino nano as my soldering technique is not very good. 
  • Below is one of the example of how I did the soldering to the arduino nano board. The lead is too big and it may connected to the other pin.
Figure 1: Broken Arduino Nano
  • The arduino nano board cannot be used anymore so I need to buy a new one. I went to the autobotic sdn bhd and luckily they still have the stock. I compile the coding into the new arduino board and placed it inside the box.
  • The prototype is ready for presentation day.
Figure 2: Prototype
  • After that, I am preparing myself on how to present and deliver the ideas of this project. 

DATE: 09/10/2019
👉 PRESENTATION DAY


  • The event start at 9 a.m. in Gemilang Hall. The students came early to the venue to prepare before the presentation. The accessor who accessed the students are Madam Siti Afifah and Mr Syukran from EASMED SDN BHD  and the presentation run smoothly. 
  • The picture below is taken after the done doing the presentation.

  • Figure 1: 
    Picture with bunting and prototype

    Figure 2: 
    Picture with our supervisor, Mr Shah Rizailli and FYP2 coordinator, Dr Imran Sofi

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    WEEK 10 FYP2

    WEEK 10

    DATE: 30/9/2019-05/10/2019
    SUPERVISOR: SIR SHAH RIZAILLI BIN MUKHTAR

    👉 PREPARE BUNTING BANNER


  • For this semester, FYP coordinator asked the students to do the presentation poster on a small size banner bunting. The layout of the poster include the objective, project description, flow chart, methodology, results, conclusion and references.
  • After done designing the bunting, I went to the printing service shop in Taman Melawati to print the bunting.
  • The bunting size is 2ft x 6ft.



  • 👉 TESTING OF THE PROTOTYPE

    • The coding to program arduino nano is shown below.
    • The condition for the alarm sound are:
    • 1) if the frequency is between 1000 and 1100 = Patient Monitor Battery Failure
    • 2) if the frequency is between 3000 and 4000 = Syringe Pump Battery Failure
    • In this coding, I use interrupt so that it can calculate the frequency of the alarm sound.





    • The coding for telegram is shown in the Figure below.
    • I need to include library such as ESP8266WiFi, WIFi ClientSecure, UniversalTelegramBot and ArduinoJson. 
    • In order to get connected to telegram, I need a include token from telegram Botfather and also chat id. 
    • Next, write coding to connect to wifi by including the network ssid name and network key. 
    • Then, include coding to display the notification on telegram.





    • The picture below shows the notification on telegram.
































    WEEK 9 FYP2

    WEEK 9 
    DATE: 23/9/2019-27/9/2019
    SUPERVISOR: SIR SHAH RIZAILLI BIN MUKHTAR

    👉 PREPARE HARDWARE
    • Firstly, I create the design of the prototype which I decided to make it into rectangular shape. The design is like the figure shown below.


    Figure 1: Prototype design

    • The length will be 15cm, the height is 2cm and the width is 4cm. 
    • The length of the box is quite longer because I need two battery of 9V to power on the board for arduino and wifi module.
    • The design is smaller than the actual plan. Before this, I plan to use arduino uno and Wemos Wifi module to program the circuit. The size of these two board is quite bigger. So, I decided to change the Arduino Uno board to Arduino Nano board while Wemos Wifi module to Nodemcu board. With these size of the board, it can fit into the box in Figure 1.
    Figure 2: Arduino Uno to Arduino Nano

    Figure 3: Wemos Wifi Module to Nodemcu 

    • The size of the filtering circuit also is changed to a smaller one. The circuit is being soldered on the strip board. I took about 1 to 2 hours to finish the soldering circuit because it is quite difficult to solder such a small circuit. After finish, I check the connection of the pins of component using multimeter. This is to make sure the circuit is still functioning after soldering the circuit.
    Figure 4: Soldered filtering circuit

    • Figure 5 below shows the inside looks of the prototype.
    Figure 5: Component in the box






















    WEEK 8 FYP2

    WEEK 8

    DATE: 9/9/2019
    SUPERVISOR: SIR SHAH RIZAILLI BIN MUKHTAR
    👉 TESTING ON MEDICAL EQUIPMENT

    Activities
    • After done constructing the filtering circuit, the circuit is then being tested to see whether it is functioning well or not.
    • By connecting the filtering circuit with the sound sensor, the test is done by detecting the sound from the medical equipment. The Figure below shows how I did the detection of alarm sound from medical equipment. The medical equipment is placed near to the sound sensor with the circuit. 


    These are some of the example of data that I collected. I take the measurement of frequency of the signal for every cycle. I did the test many times so that more data is collected which I can analyze the value of frequency for every cycle and to get accurate data.

    1. Syringe Pump






    2. Patient Monitor