Sunday, January 8, 2017
Week 14
This is the final week for this semester and is the week for the submission of the proposal. In this week, all of the work for FYP1 are done. I had submitted the proposal on time. I would like to thank my supervisor, Dr. Ahmad Sabry Bin Mohamad for guiding me and accepting me as a student under him. Many thanks to my friends who helped me a lot for this project. Thank You.
Sunday, January 1, 2017
Week 13
This week is the week for finalizing the proposal report for this subject. All the details for this project should be included into the proposal. Below is the abstract for the proposal.
"Pre-diagnostic nerve health using smart electromyography device is a device that can be used to diagnose nerve injury in patients with suspected neuropathy. Currently, nerve injury can only be diagnosed in hospitals and medical institution. It also uses invasive method and current EMG devices cost a lot of money. This project will aim on designing a device that can diagnose nerve injury, user friendly, portable, affordable and can be used with a smartphone. This device will use MyoWare EMG module, Arduino microcontroller and HC-06 bluetooth module. All of the components will interface with the smartphone. The output of the device is the EMG signal which will be sent to the smartphone via Bluetooth. The output will also contain recommendation whether to seek medical aid or not."
The normal values that are mentioned in the proposal and slide are:
These normal values are estimates and signals that come close to theses values are considered to be normal.
"Pre-diagnostic nerve health using smart electromyography device is a device that can be used to diagnose nerve injury in patients with suspected neuropathy. Currently, nerve injury can only be diagnosed in hospitals and medical institution. It also uses invasive method and current EMG devices cost a lot of money. This project will aim on designing a device that can diagnose nerve injury, user friendly, portable, affordable and can be used with a smartphone. This device will use MyoWare EMG module, Arduino microcontroller and HC-06 bluetooth module. All of the components will interface with the smartphone. The output of the device is the EMG signal which will be sent to the smartphone via Bluetooth. The output will also contain recommendation whether to seek medical aid or not."
The normal values that are mentioned in the proposal and slide are:
These normal values are estimates and signals that come close to theses values are considered to be normal.
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