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Welcome to the website of Professor Farrokh Ayazi's research group in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. Research in the Integrated MEMS Laboratory relates to the design, analysis, fabrication, and characterization of Micro and Nano Electro-Mechanical Systems (MEMS and NEMS), with a focus on high Q resonators and resonant gyroscopes. High Q resonators have applications in 'mixed-domain microsystems' such as gyroscopes and accelerometers, low jitter clocks, energy harvesters, biochemical sensors for health and environmental monitoring, as well as wireless communications. On the system side, the group specializes on advance interface circuits and architectures for MEMS and Sensors.
The Integrated MEMS Laboratory (IMEMS) is a unit member of the Center for MEMS and Microsystems Technologies (CMMT) and of the Institute for Electronics and Nanotechnology at Georgia Tech.
New Publication Alert
Precision wearable accelerometer contact microphones for longitudinal monitoring of mechano-acoustic cardiopulmonary signals
P. Gupta, M. J. Moghimi, Y. Jeong, D. Gupta, O. T. Inan, and F. Ayazi
npj Digit. Med. 3, 19 (2020). https://doi.org/10.1038/s41746-020-0225-7
Mechano-acoustic signals emanating from the heart and lungs contain valuable information about the cardiopulmonary system. Unobtrusive wearable sensors capable of monitoring these signals longitudinally can detect early pathological signatures and titrate care accordingly. Here, we present a wearable, hermetically-sealed high-precision vibration sensor that combines the characteristics of an accelerometer and a contact microphone to acquire wideband mechano-acoustic physiological signals, and enable simultaneous monitoring of multiple health factors associated with the cardiopulmonary system including heart and respiratory rate, heart sounds, lung sounds, and body motion and position of an individual. The encapsulated accelerometer contact microphone (ACM) utilizes nano-gap transducers to achieve extraordinary sensitivity in a wide bandwidth (DC-12 kHz) with high dynamic range. The sensors were used to obtain health factors of six control subjects with varying body mass index, and their feasibility in detection of weak mechano-acoustic signals such as pathological heart sounds and shallow breathing patterns is evaluated on patients with preexisting conditions.
Link to research article: npj Digital Medicine
Link to news coverage article: Georgia Tech Research Horizons