![\"Portrait](\"https:\/\/www.newsbeep.com\/us-tx\/wp-content\/uploads\/2025\/12\/jacob-gordon.jpg\")
<\/p>\n The team is developing a wearable, real-time heart monitoring sensor that utilizes
\n nanoparticles, artificial intelligence and quantum phenomena.<\/p>\n
\t\tCREATORS<\/p>\n
<\/p>\n
As wearable devices such as smartwatches, smart rings and artificial intelligence
\n (AI) glasses have become more commonplace, the interest in accurately gathering and
\n tracking health data has continued to grow. Alongside that growth has been a desire
\n for wearable devices to be more subtle and less intrusive to people\u2019s daily lives.<\/p>\n
A team from Texas Tech University<\/a>\u2019s Edward E. Whitacre Jr. College of Engineering<\/a> hopes to continue this trend after receiving a National Institute of General Medical The project is led by Kai Wu<\/a>, assistant professor in the Department of Electrical & Computer Engineering<\/a>, and Minxiang “Glenn” Zeng<\/a>, assistant professor in the Department of Chemical Engineering<\/a>.<\/p>\n This novel sensor combines nanoparticles and materials and polymers to create a lightweight \u201cThe bio sensor would be like a temporary tattoo that can stick on a person\u2019s chest,\u201d The sensor would monitor cardiac activity and better predict and distinguish more Traditional heart monitoring devices record electrocardiograms (ECG) that measure The project aims to address this conundrum and bring advanced cardiac monitoring directly The sensors would rely on two quantum phenomena occurring between the nanoparticles \u201cBased on the magnetic field produced by the human heart, we can convert the field AI, specifically machine learning models, will be vital in analyzing such a large \u201cTake a smartwatch, like the one I\u2019m wearing,\u201d Wu said, raising his arm to show the Wu said a motivating factor behind this project is the end-user\u2019s experience, and To create the sensors, the team will use 3D printing, a first for Wu. Over the last Wu said he sees this new sensor as helping address an imbalance of resources in health \u201c3D printing is not only cheaper, but it can print the sensor very fast,\u201d he said. As excited as Wu is for future cardiovascular patients who may one day wear this device, \u201cWe are converting some theoretical work from the books into real-life application
\n Sciences grant of over $580,000 to fund a four-year project: developing a wearable
\n magnetic sensor that utilizes machine learning models for accurate and predictive
\n monitoring.\u00a0<\/p>\n![\"Kai](\"https:\/\/www.newsbeep.com\/us-tx\/wp-content\/uploads\/2026\/02\/Kai-Wu.JPG\")
![\"Minxiang](\"https:\/\/www.newsbeep.com\/us-tx\/wp-content\/uploads\/2026\/02\/Zeng-Glenn.jpg\")
Kai Wu and Minxiang “Glenn” Zeng<\/p>\n
\n sensor that easily adheres and adjusts to wherever it is placed.<\/p>\n
\n Wu said. \u201cIt\u2019s non-invasive, wearable and won\u2019t cause any abnormal or uncomfortable
\n feelings for a user.\u201d<\/p>\n
\n than 10 types of abnormal heartbeats. This, Wu said, would be especially important
\n for patients after cardiovascular surgery who would want 24-hour monitoring of their
\n heart activity.<\/p>\n
\n electrical activity in a person\u2019s heart. More advanced tools like magnetocardiography
\n (MCG) detect the tiny magnetic fields generated by the heart. While ECGs are more
\n readily accessible, they may not show the full picture of a person\u2019s cardiac health;
\n meanwhile, MCGs provide more accurate readings but are limited in terms of commercial
\n use because they rely on large and expensive equipment.<\/p>\n
\n to people through the development of granular magnetoresistive sensors.<\/p>\n
\n and polymers of the sensor: tunneling and hopping. Tunneling occurs when a particle
\n passes through a potential energy barrier that it should not be able to cross. Hopping
\n occurs when a particle transitions between quantum states with the assistance of thermal
\n energy.<\/p>\n
\n into the voltage signal from the sensor itself, and we can do 24-hour recordings of
\n the signals from the sensor,\u201d Wu said.<\/p>\n
\n amount of data and giving users real-time monitoring of their heart\u2019s condition.<\/p>\n
\n square shape of the popular device. \u201cIt can monitor a person\u2019s heartbeat, but it does
\n not involve AI to say what condition a person is going through, right? These devices
\n can only tell you what your heart rate is. But the AI algorithm, combined with the
\n wearable sensor, could provide more information if a person is going to suffer from
\n some specific abnormal heartbeat.\u201d<\/p>\n
\n this extends to the cost of the eventual sensor, too.\u00a0<\/p>\n
\n 10 years, Wu has developed sensors using advanced nanofabrication facilities. 3D printing
\n will not only help keep the development costs down but also could play a big factor
\n in future commercialization and accessibility.<\/p>\n
\n care, especially for rural patients who often must drive hours for specialized medical
\n care.<\/p>\n
\n \u201cWe can mass produce the sensor in large volumes, which would also cut down on costs.
\n This would be a big benefit for people in rural or resource-limited areas.\u201d<\/p>\n
\n he is equally excited for the opportunity to take on this challenge that combines
\n 3D printed sensors, quantum phenomena and artificial intelligence.<\/p>\n
\n that can benefit the whole of humanity,\u201d he said. \u201cIf you had told me 10 years ago
\n that I could use quantum physics to benefit human beings in health care, I would have
\n said that\u2019s crazy. But now, I\u2019m trying to use quantum phenomena and 3D printing to
\n benefit health care.\u201d<\/p>\n