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Posts

Gas Sensor Selection Guide

19 minute read

I have been involved in a project that required us to use multiple gas sensors. I had to do research on these sensors to select the right sensors for our project. In addition gas sensors need to be calibrated as well. In this article, I explain how we may select the right gas sensors for a project and the potential ways to calibrate a gas sensor. There are certain points that need to be considered before sensor selection which includes:

Handling Power Hungry Sensors in a Low-Power Project

less than 1 minute read

In this post I explained how one can use 5V power-hungry sensors via 3.3V microcontroller. There are still several sensors that need to be powered by 5V power supply. However, more recent development boards are eqquiped with 3.3V microcontrollers. As a result, we need to address some serious challenges. Challenges include:

SmartSock

less than 1 minute read

The purpose of this project was to build a wearable system that can be used for reliable ankle edema quantification. Ankle edema is an important symptom for monitoring patients with chronic systematic diseases. It is an important indicator of onset or exacerbation of a variety of diseases that disturb cardiovascular, renal, or hepatic system such as heart, liver, and kidney failure, diabetes, etc. SmartSock is a real-time and activity-sensitive wearable system for monitoring ankle edema.

portfolio

publications

Smart-cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema

Ramin Fallahzadeh, Mahdi Pedram, Ramyar Saeedi, Bahman Sadeghi, Michael Ong, Hassan Ghasemzadeh. (2015). "mart-cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema." IEEE International Conference on Pervasive Computing and Communication Workshops. https://github.com/mahdipedro/mpedram.github.io/blob/master/files/Smart_Cuff_A_Wearable_Bio_Sensing_Platfo.pdf

Toward ultra-low-power remote health monitoring: An optimal and adaptive compressed sensing framework for activity recognition

Josue Pagan, Ramin Fallahzadeh, Mahdi Pedram, Jose L Risco-Martin, Jose M Moya, Jose L Ayala, Hassan Ghasemzadeh. (2015). "Toward ultra-low-power remote health monitoring: An optimal and adaptive compressed sensing framework for activity recognition." IEEE Transactions on Mobile Computing. https://github.com/mahdipedro/mpedram.github.io/blob/master/files/toward%20ultra-low-power.pdf

Mobile System to Monitor Type and Volume of Liquid Intake

Mahdi Pedram, Seyed Iman Mirzadeh, Seyed Ali Rokni, Ramin Fallahzadeh, Diane Myung-kyung Woodbridge, Sunghoon Ivan Lee, Hassan Ghasemzadeh. (2021). "Mobile System to Monitor Type and Volume of Liquid Intake." IEEE Sensors Journal.

talks

teaching

Embedded Systems - Fall 2018

Undergraduate and graduate course, Washington State University, School of Electrical Engineering & Computer Science, 2018

Lab Instructor and Teaching Asssitant.

Embedded Systems - Fall 2019

Undergraduate and graduate course, Washington State University, School of Electrical Engineering & Computer Science, 2019

Lab Instructor and Teaching Asssitant.

Embedded Systems - Fall 2021

Undergraduate and graduate course, Washington State University, School of Electrical Engineering & Computer Science, 2021

Course Instructor.