Week 9: Literature Review

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 recent advances in the areas of non-instructive sensor, data acquisition hardware and signal processing combined with networking. Figure below show the flow of system.



 4. Low Noise Signal Conditioning Design for Electrostatic Sensors, Teimour Tajdari @ Mohd Fua’ad Rahmat @ Norhaliza Abdul Wahab @ Iliya Tizhe Thuku, 2013
This paper is proposed a low noise signal conditioning circuit for electrostatic sensor. A circuit model is proposed as the electrode of the sensor to be used in circuit design and circuit analysis. An electrostatic noise collector amplifier is designed using a high impedance FET operational amplifier


Present Work:
5. Microphone Sensors for In-Vehicle Application, Mian Ahmed Jehanzeb Anwer Noorpuri, 2016
This document illustrates the fundamental physics working principle, construction of Microphone Sensors those are extensively used in the different stages of automotive manufacturing industry and also for the in vehicle applications

6. Secondary Alarm Notification System using SocMed “SANSUS”, Abdul Aziz bin Ismail, 2018
This project is to detect medical device sound of alarm by extracting frequency, amplitude or wavelength. Process input data and produce outcome to end user’s mobile phone via Social Media.




7. Audio Signal Conditioning Circuits for Arduino Platforms, William Fonseca @ Paulo Mareze @ Artur Zorzo @ Eric Brandao, 2018
This paper is demonstrate and analyze signal conditioning circuits for audio transducers design to work with Arduino platforms (Arduino Due & electret microphone transducer)

8.   Detection System of Sound Noise Level (SNL) Based on Condenser Microphone Sensor, Juniastel Rajagukguk @ Nurdieni Eka Sari, 2018
To know the noise level by using Arduino Uno as data processor input. Noise detection using condenser microphone sensor and LM567 as IC op-amps. 

9. Medical Equipment Alarm Monitoring System (MEAMS), Muhammad Hariz Hamid (2018). 
System that continuously monitor the condition of medical equipment’s alarm by providing and creating solution. 


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