New Blood Pressure App and Hardware Rivals Arm Cuff Accuracy

Cuff devices for blood pressure measurement are inconvenient, and mobile device apps for blood pressure measurement that are now being introduced may lack accuracy. To solve this problem, a team of Michigan State University scientists has created a new app and hardware for smartphones to measure blood pressure with accuracy that may rival arm-cuff devices. The technology, published in the current issue of Science Translational Medicine along with a video, also includes a discovery of a more convenient measurement point.

"We targeted a different artery, the transverse palmer arch artery at the fingertip, to give us better control of the measurement," said Anand Chandrasekhar, MSU electrical and computer engineering doctoral student and the lead author. "We were excited when we validated this location. Being able to use your fingertip makes our approach much easier and more accessible."

The approach uses two sensors: an optical sensor on top of a force sensor. The sensor unit and other circuitry are housed in a 1 centimeter-thick case attached to the back of the phone. Users turn on the app and press their fingertip against the sensor unit. With their finger on the unit, they hold their phone at heart level and watch their smartphone screen to ensure they're applying the correct amount of finger pressure.

"A key point was to see if users could properly apply the finger pressure over time, which lasts as long as an arm-cuff measurement," Ramakrishna Mukkamala, MSU electrical and computer engineering professor and senior author said. "We were pleased to see that 90 percent of the people trying it were able to do it easily after just one or two practice tries."

Internationally, this device could be a game-changer. While high blood pressure is treatable with lifestyle changes and medication, only around 20 percent of people with hypertension have their condition under control. This invention gives patients a convenient option, and keeping a log of daily measurements would produce an accurate average, discounting an occasional measurement anomaly, Mukkamala added.

The research team will continue to improve accuracy and hopes to pursue more comprehensive testing based on the standard protocol of the Association for the Advancement of Medical Instrumentation. The scientists are already making inroads to build improved hardware. Future iterations could be as thin as 1 millimeter and be part of a standard protective phone case.

Anand Chandrasekhar, Chang-Sei Kim, Mohammed Naji, Keerthana Natarajan, Jin-Oh Hahn, Ramakrishna Mukkamala.
Smartphone-based blood pressure monitoring via the oscillometric finger-pressing method.
Science Translational Medicine, Vol. 10, Issue 431, eaap8674. doi: 10.1126/scitranslmed.aap8674.

Most Popular Now

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

New AI Transforms Radiology with Speed, …

A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

Start-ups in the Spotlight at MEDICA 202…

17 - 20 November 2025, Düsseldorf, Germany. MEDICA, the leading international trade fair and platform for healthcare innovations, will once again confirm its position as the world's number one hotspot for...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

Using Data and AI to Create Better Healt…

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego. In...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...