Final Year Project 1: Medical Device False Alarm Detection Notification via IoT

Date: 15/04/2019 - 19/04/2019 The methodology part will explain more details about the project flow and its working process. 1. Method 2. Project Block Diagram Material used:  - Sensor: KY-038 microphone sensor - Micro-controller: Arduino Wemos (Uno) - IoT: ESP8266 Wi-Fi module 3. Project Flow Chart If the sensor detect any presence of sound signal produce by faulty medical device, the process will continue with signal conditioning state to classify the signal captured. The data then process by a micro-controller and sent to end user's smartphone via Wi-Fi system. 

Date:08/04/2019 - 12/04/2019 The finding are consist of two part which is previous work and present work according to the years of publication. Previous Work: 1.  Development of Medical Equipment Alarm Monitoring System.  Yoshimori Yamashita, Tatoku Ogaito, Shingo Kamatsu,  2013 This project purpose to transmit an alarm signal from medical equipment by adding radio module program unit which is IEEE802.15.4 Zigbee.  2. Sound Detection and Classification for Medical Telesurvey, Michel.Vacher@imag.fr,  Dan.Istrate@imag.fr , 2004 This paper deals with sound event detection in noisy environment and presents a first classification. Detection algorithm and sound classification methods applied using microphones. 3.  Computation Intelligence in Online Reliability Monitoring, Ratna Babu Chinma @ Bharatendra Rai, 2007 To performed maintenance on machine or system only when there is objective evidence of need or impending failure. Given re...

Date: 01/04/2019 - 05/04/2019 During this week, me and my team had done a survey regarding our project. The survey was conducted on 4th April 2019 @ 10.00am until 11.30am at Radibems Sdn Bhd UniKL BMI office. Radibems Sdn Bhd is one of the Biomedical Engineering Management Services Company that providing vital cost-effective solutions and reliability in the operations and maintenance  of high technology hospital equipment. 5 person had involved in this survey which all of them are Biomedical Engineer that assigned to do a troubleshooting on component level. We also had done a further discussion with En Kamil, Technical Manager BEMS of Radibems. A few recommendation have given by Radibems' staff, which is: 1. Features that would contribute on this product: -           Can deliver message immediately -           Attachable to any type of device’s body and won’t disturb any operat...

Date: 18/03/2019 - 22/03/2019 Date: 19/03/2019 I have done a comparison between Bluetooth system and Wi-Fi.  Based on my project, I decided to use Wi-Fi as the medium of IoT communication because it has less limitation compared to Bluetooth. Here is the my finding: Specification Wi-Fi Bluetooth Frequency Up to 5GHz 2.4 GHz Bandwidth 11Mbps (High) 800 Kbps (Low) Range Wide range (Up to 95 meters) Limited ( From 5 to 30 meters) Industry used Mobile phone, computer, television, hospitality communication system, medical device Mobile phone, mouse, printer Bit-rate 600 Mbps 2.1 Mbps From the table, Wi-Fi is the most suitable system for this project because it has a very wide range compared to Bluetooth. Wi-Fi system also had been used in the hospital as a communication and for data base system. Date: 21/03/2019 In this week, me and my friend had d...

Date: 11/03/2019 - 15/03/2019 A comparative study had been done between 3 different sound sensor which is Dynamic Microphone Sensor, Condense Microphone and Micro-electromechanical system (MEMS) Microphone sensor. The specification of each sensor is are stated as shown in the table below. Based on the table, the most suitable sensor is condenser microphone due to the specification details that will be compatible with this project application. It is also more cheaper compared to others microphone.

Date: 04/03/2019 - 08/03/2019 Further discussion had been done with supervisor. I had planning the gantt chart for final year project 1 project flow as a guide line. Date: 06/03/2019 Project title had been given by Sir Shah and been registered via FYP UniKL BMI website.  Project title: "Medical Device False Alarm Detection Notification via IoT".  Synopsis: To develop a prototype based on Biomedical Engineering services and maintenance industry that enable service personal to provide early prediction of the equipment characteristic false error. We continue our discussion about the signal conditioning. I need to understand more details about signal conditioning and choose a reasonable amplifier for my project. Finding: Signal conditioning is the technique of making a signal from a sensor or transducer that suitable for processing by data acquisition equipment (DAQ) Type of Signal conditioning that can be used: 1. Amplification: to increa...

Date: 25/02/2019 - 1/03/2019 This week I had discuss more about our project details with supervisor. Sir Shah were give me a few task about this project. The task given is about to find a few journal that related to this project including the sensor that want to be use to detect sound alarm and type of micro-controller that compatible with this project. Here is the finding: 1. Arduino KY-037 Microphone sound sensor module Application: It is perfect for detecting alarm (high sensitivity) Specification: Model: KY-037 Filter: LM393 main chip Type of mic: Electric condenser microphone Working voltage: 4vdc-6vdc Pins: Digital output (DO), Analog output (AO), voltage input and ground AO: real time output voltage signal of the microphone DO: if the sound intensity reaches a certain threshold, the output high and low signal produce Threshold sensitivity can be adjust via potentiometer on the sensor 2. Vibration sensor module (SW-420) Application: Vibration dete...