Technology
CardioCatch
CardioCatch is a handheld, non-invasive heart-scanning prototype that uses radio-frequency sensing and machine-learning models to identify early cardiac irregularities, paired with a beta iOS app for real-time visualization.
Year :
2024 - Present
Industry :
Healthcare
Project Duration :
1 year
Problem :
Cardiovascular disease is one of the leading causes of death worldwide, yet many cases go undetected until serious complications arise. Traditional screening often requires hospital-grade equipment, specialist access, and costly diagnostic testing. This creates major barriers for rural populations and underserved communities, where preventative heart monitoring is not always accessible or affordable.
Solution :
I developed CardioCatch, a handheld cardiovascular screening prototype designed to collect heart-related signals in a simple, accessible way. I designed the device casing through CAD modeling and produced multiple iterations using 3D printing to improve comfort and portability. The system integrates basic physiological sensing modules, and I used Python to process and interpret the collected signal data. With NumPy and Matplotlib, I filtered noise, analyzed waveform patterns, and explored early screening logic that could flag irregularities before they become severe.
Challenge :
Heart signals are small and easily affected by motion and outside noise, so getting stable readings was difficult. I had to refine both the sensor setup and the data filtering process. Balancing medical responsibility with usability was also important, since the goal was screening support rather than full diagnosis.
Summary :
CardioCatch reflects my focus on preventative cardiology, medical device prototyping, and accessible healthcare engineering.The project deepened my interest in the mechanics of the human body and reinforced the importance of thoughtful, human-centered design in medical technology. The project resulted in a USPTO provisional patent that I filed myself, a functional app and prototype, and recognition as a Top 30 Global Finalist at the HOSA International Leadership Conference.
View CardioCatch Here: https://drive.google.com/drive/folders/1bSt16t-AkkfY2G-ACT3skqMzL49W0ilc
More Projects
Technology
CardioCatch
CardioCatch is a handheld, non-invasive heart-scanning prototype that uses radio-frequency sensing and machine-learning models to identify early cardiac irregularities, paired with a beta iOS app for real-time visualization.
Year :
2024 - Present
Industry :
Healthcare
Project Duration :
1 year
Problem :
Cardiovascular disease is one of the leading causes of death worldwide, yet many cases go undetected until serious complications arise. Traditional screening often requires hospital-grade equipment, specialist access, and costly diagnostic testing. This creates major barriers for rural populations and underserved communities, where preventative heart monitoring is not always accessible or affordable.
Solution :
I developed CardioCatch, a handheld cardiovascular screening prototype designed to collect heart-related signals in a simple, accessible way. I designed the device casing through CAD modeling and produced multiple iterations using 3D printing to improve comfort and portability. The system integrates basic physiological sensing modules, and I used Python to process and interpret the collected signal data. With NumPy and Matplotlib, I filtered noise, analyzed waveform patterns, and explored early screening logic that could flag irregularities before they become severe.
Challenge :
Heart signals are small and easily affected by motion and outside noise, so getting stable readings was difficult. I had to refine both the sensor setup and the data filtering process. Balancing medical responsibility with usability was also important, since the goal was screening support rather than full diagnosis.
Summary :
CardioCatch reflects my focus on preventative cardiology, medical device prototyping, and accessible healthcare engineering.The project deepened my interest in the mechanics of the human body and reinforced the importance of thoughtful, human-centered design in medical technology. The project resulted in a USPTO provisional patent that I filed myself, a functional app and prototype, and recognition as a Top 30 Global Finalist at the HOSA International Leadership Conference.
View CardioCatch Here: https://drive.google.com/drive/folders/1bSt16t-AkkfY2G-ACT3skqMzL49W0ilc
More Projects
Technology
CardioCatch
CardioCatch is a handheld, non-invasive heart-scanning prototype that uses radio-frequency sensing and machine-learning models to identify early cardiac irregularities, paired with a beta iOS app for real-time visualization.
Year :
2024 - Present
Industry :
Healthcare
Project Duration :
1 year
Problem :
Cardiovascular disease is one of the leading causes of death worldwide, yet many cases go undetected until serious complications arise. Traditional screening often requires hospital-grade equipment, specialist access, and costly diagnostic testing. This creates major barriers for rural populations and underserved communities, where preventative heart monitoring is not always accessible or affordable.
Solution :
I developed CardioCatch, a handheld cardiovascular screening prototype designed to collect heart-related signals in a simple, accessible way. I designed the device casing through CAD modeling and produced multiple iterations using 3D printing to improve comfort and portability. The system integrates basic physiological sensing modules, and I used Python to process and interpret the collected signal data. With NumPy and Matplotlib, I filtered noise, analyzed waveform patterns, and explored early screening logic that could flag irregularities before they become severe.
Challenge :
Heart signals are small and easily affected by motion and outside noise, so getting stable readings was difficult. I had to refine both the sensor setup and the data filtering process. Balancing medical responsibility with usability was also important, since the goal was screening support rather than full diagnosis.
Summary :
CardioCatch reflects my focus on preventative cardiology, medical device prototyping, and accessible healthcare engineering.The project deepened my interest in the mechanics of the human body and reinforced the importance of thoughtful, human-centered design in medical technology. The project resulted in a USPTO provisional patent that I filed myself, a functional app and prototype, and recognition as a Top 30 Global Finalist at the HOSA International Leadership Conference.
View CardioCatch Here: https://drive.google.com/drive/folders/1bSt16t-AkkfY2G-ACT3skqMzL49W0ilc