Sina Faraji Alamouti and Rikky Muller

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2025-15

May 1, 2025

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2025/EECS-2025-15.pdf

Recording of bio-signals from the human body has undergone significant improvements in terms of power, speed, and form factor in the past decade due to the help of low-cost compact IC-based solutions. Recent development of these devices focus on integrating multiple sensor inputs in a single IC, enhancing the robustness of the sensor in the face of challenges in ambulatory settings, as well as including some level of smartness in the sensor operation to improve its performance. In this dissertation, a couple of novel examples of the above ICs are presented that achieve state-of-the-art performance while delivering the target functionality. In the first chapter, a heart-rate and oxygen saturation monitoring IC is proposed that leverages a sparse sampling algorithm to significantly lower the sensor power consumption and increase battery life. Then in chapter 3 a sensor IC is discussed that utilizes body-sensor impedance information to help combat the impact of users’ motion artifact in biopotential recordings. Lastly, an ultra-low noise current sensor IC is covered in chapter 4 that enables multi-channel sensing of very small electrical currents in biomedical applications. The performance of the above sensor ICs are compared against prior arts and future directions of these projects are discussed at the end of each chapter.

Advisors: Rikky Muller

---

BibTeX citation:

@phdthesis{Faraji Alamouti:EECS-2025-15,
    Author= {Faraji Alamouti, Sina and Muller, Rikky},
    Title= {High-Performance Bio-sensing ICs},
    School= {EECS Department, University of California, Berkeley},
    Year= {2025},
    Month= {May},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2025/EECS-2025-15.html},
    Number= {UCB/EECS-2025-15},
    Abstract= {Recording of bio-signals from the human body has undergone significant improvements in terms of power, speed, and form factor in the past decade due to the help of low-cost compact IC-based solutions. Recent development of these devices focus on integrating multiple sensor inputs in a single IC, enhancing the robustness of the sensor in the face of challenges in ambulatory settings, as well as including some level of smartness in the sensor operation to improve its performance. In this dissertation, a couple of novel examples of the above ICs are presented that achieve state-of-the-art performance while delivering the target functionality. In the first chapter, a heart-rate and oxygen saturation monitoring IC is proposed that leverages a sparse sampling algorithm to significantly lower the sensor power consumption and increase battery life.  Then in chapter 3 a sensor IC is discussed that utilizes body-sensor impedance information to help combat the impact of users’ motion artifact in biopotential recordings. Lastly, an ultra-low noise current sensor IC is covered in chapter 4 that enables multi-channel sensing of very small electrical currents in biomedical applications. The performance of the above sensor ICs are compared against prior arts and future directions of these projects are discussed at the end of each chapter.},
}

EndNote citation:

%0 Thesis
%A Faraji Alamouti, Sina 
%A Muller, Rikky 
%T High-Performance Bio-sensing ICs
%I EECS Department, University of California, Berkeley
%D 2025
%8 May 1
%@ UCB/EECS-2025-15
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2025/EECS-2025-15.html
%F Faraji Alamouti:EECS-2025-15