1st Prototype for CICaidA

Our first prototype for CICaidA

CICaidA Team

The first prototype in this exhibit is the product of the unique multi-disciplinary collaboration of Stony Brook undergraduate students in

  • Art

  • Biology

  • Biomedical Engineering

  • Computer Science

  • Electrical Engineering

  • Computer Engineering


They have come together to create a wearable health monitoring device that fulfills the needs for an effective monitoring and alert system for emergency rooms and nursing homes. A handful of students have previously taken art and theater classes which helped inspire the union between STEM and the Arts.


Undergraduate Students

Luigia Than – Electrical Engineering, Digital Arts

Ryan Chen – Biology

Peter DiPietro – Biomedical Engineering

Vivian Lin – Computer Science

Michael Ly – Biomedical Engineering, Filmmaking

Nate Jamison – Biomedical Engineering

Tony Lin – Biomedical Engineering

Pratik Gurung – Computer Science

Cynthia Wu – Electrical Engineering

Xuecen (Summer) Wang – Computer Engineering

Adrienne Gabit – Biomedical Engineering

Dennis Chan – Computer Science

Matthew Ho – Computer Science

Yuqiang Lin – Computer Science


Faculty Advisors

Professor Nobuho Nagasawa – Department of Art and Affiliate Faculty Department of Theater Arts

Professor M. Ete Chan – Department of Biomedical Engineering

Acknowledgements

Professional input of medical needs and guidance were provided by Dr. Ariel Wu (Yang) (Emergency Department Resident, MD), Dr. Lok Yung (Infectious Diseases, MD) and Bryan Fleischman (Emergency Medicine, Paramedic)


Achievements

EMedic Global 2021, Finalists – International biomedical engineering competition

WolfieTank 2021, Finalists – SBU business pitching competition

Stony Brook Entrepreneur Challenge 2021, NSF I-Corps 2nd Place – Business competition

URECA Celebration 2021, Poster and research presentation – Undergraduate research symposium

SUNY SURC 2021, Poster and research presentation – Annual undergraduate research conference

The CICaidA Project – a Union of Art and Technology

CICaidA Team and faculty advisors Professor Ete Chan (Biomedical Engineering) and Professor Nobuho Nagasawa (Art)


In the current environment, the COVID-19 pandemic has led to increased activity in emergency rooms which were already severely understaffed. In nursing homes, due to differences in state-to-state regulations, some facilities have overnight staff ratios of one registered nurse to over 60 patients. The lack of sufficient staffing begs for more efficient monitoring systems that ensure a standard of quality care for our most vulnerable populations.


Continuous Individual Crisis Aid Alert System (CICaidA) is a biomedical sensor bracelet aimed to monitor patient vitals in real-time, with telemetry capabilities to update/alert healthcare workers at a central monitoring station. Using collected heart rate and SpO2 (peripheral blood oxygen saturation) data, both vital measurements in healthcare, CICaidA is able to determine the general physiological stability of the wearer and send out alerts if vitals deviate from the accepted thresholds. Although there are other wrist-worn sensors on the market, their inaccuracies in SpO2 readings and cost deem them to be unsuitable for use in a healthcare setting with patients who have the potential to rapidly deteriorate in health. The CICaidA device tackles the issues of racial bias in pulse oximetry, where there is a disparity between the accuracies of the sensor when measuring dark vs light skin tones. It has been shown that pulse oximeters often were less accurate in measuring dark skin tones as opposed to lighter skin tones, which often leads to decreases in the quality/accessibility of healthcare received.


Displayed is an early prototype of the CICaidA (the current prototype is still under development). The device consists of an Arduino Bluno, MAX30102 pulse oximeter, coin batteries, speaker, and a LED light strip wristband. This prototype of the device is able to intake vital sign data, then interpret and send that data via Bluetooth. Upcoming prototypes will be more compact and accurate in health readings.