We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App

Novel App Screens for Anemia without Blood Test

By HospiMedica International staff writers
Posted on 27 Sep 2016
Print article
Image: The HemaApp measures hemoglobin levels by illuminating a finger with a smartphone’s camera flash (Photo courtesy of Dennis Wise / UW).
Image: The HemaApp measures hemoglobin levels by illuminating a finger with a smartphone’s camera flash (Photo courtesy of Dennis Wise / UW).
Hemoglobin levels and anemia can be construed non-invasively by illuminating a patient’s finger with a smartphone camera flash, according to a new study.

The HemaApp smartphone application, under development at the University of Washington (UW; Seattle, USA), shines light through a patient’s finger at different wavelengths, as well as infrared (IR) energy, to create a series of videos. By analyzing color absorption and reflectance across the different wavelengths, it detects concentrations of hemoglobin and other blood components, such as plasma. Processing algorithms also use pulse to distinguish between the properties of the patient’s blood and the physical characteristics of the finger.

The researchers tested the app under three different scenarios: using the smartphone camera’s flash alone, in combination with a common incandescent light bulb providing ambient light, and with a low-cost light emitting diode (LED) lighting attachment. The additional illumination sources are used to take advantage of properties found in other wavelengths of the electromagnetic spectrum that present useful absorption properties, but that are not currently found on all smartphone cameras.

In the initial trials, the correlation between HemaApp and the patient’s hemoglobin count on a complete blood count (CBC) test using the smartphone camera alone was 69%, with a common incandescent light bulb the correlation was 74%, and when used with the LED attachment, the correlation was 82%. For comparison, the Masimo (Irvine, CA, USA) Pronto showed a correlation of 81% to the CBC. The study was presented at the International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), held during September 2016 in Heidelberg (Germany).

“New phones are beginning to have more advanced infrared and multi-color LED capabilities; but what we found is that even if your phone doesn’t have all that, you can put your finger near an external light source like a common light bulb and boost the accuracy rates,” said senior author Professor Shwetak Patel, PhD, of the department of computer science & engineering and electrical engineering. “We’re just starting to scratch the surface here. There’s a lot that we want to tackle in using phones for non-invasively screening disease.”

Related Links:
University of Washington

Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Gold Member
12-Channel ECG
Silver Member
Compact 14-Day Uninterrupted Holter ECG
Ultrasound Software
UltraExtend NX

Print article


Surgical Techniques

view channel
Image: The MIRA surgical system has become the first miniaturized robotic-assisted surgery device to receive FDA authorization (Photo courtesy of Virtual Incision)

First Ever Miniaturized Robotic-Assisted Surgery Device Approved for Colectomy Procedures

Minimally invasive surgery (MIS), known for smaller incisions and enhanced patient recovery, has evolved significantly with the advent of robotic-assisted surgery (RAS), offering unparalleled precision... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The new eye-safe laser technology can diagnose traumatic brain injury (Photo courtesy of 123RF)

Novel Diagnostic Hand-Held Device Detects Known Biomarkers for Traumatic Brain Injury

The growing need for prompt and efficient diagnosis of traumatic brain injury (TBI), a major cause of mortality globally, has spurred the development of innovative diagnostic technologies.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.