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
Sekisui Diagnostics UK Ltd.

Download Mobile App




mHealth Spectroscopy Measures Hemoglobin Optically

By HospiMedica International staff writers
Posted on 08 Jun 2020
Print article
Image: Professor Kim using the Hemoglobin smartphone app (Photo courtesy of Vincent Walter/ Purdue University)
Image: Professor Kim using the Hemoglobin smartphone app (Photo courtesy of Vincent Walter/ Purdue University)
A novel smartphone-based technique helps assess blood hemoglobin (Hgb) and blood disorders without drawing blood, claims a new study.

Developed at Purdue University (Lafayette, IN, USA), Vanderbilt University (Nashville, TN, USA), and Moi University (Nairobi, Kenya), the smartphone app is based on spectral super-resolution (SSR) spectroscopy, which transforms the built-in camera of a smartphone into a hyperspectral imager, without the need for hardware modifications or accessories. The Hgb measurements are based on statistical learning of SSR of the eyelids, and reconstruction of the detailed spectra from the camera’s three color RGB data. To perform an Hgb measurement, the patient pulls down the inner eyelid to expose the small blood vessels underneath.

A healthcare professional then uses the smartphone app to take pictures of the inner eyelids. The SSR then extracts the detailed spectral information from the camera's images and a computational algorithm quantifies Hgb content from the data. The mobile app also includes features designed to stabilize image quality and synchronize the smartphone flashlight so as to obtain consistent images. The inner eyelid was selected as the sensing site because microvasculature is easily visible there, and it is not affected by skin color, which eliminates the need for any personal calibrations.

With the aid of a randomly selected group of 138 patients who had conventional blood tests at the Moi University Teaching and Referral Hospital, the researchers first trained the algorithm, and then tested the mobile health app with the remaining 15 volunteers. The results showed that the prediction errors for the smartphone technique were within 5-10% of those measured with clinical laboratory blood tests. They now plan to use the mobile health tool to assess nutritional status, anemia, and sickle cell disease. The study was published in the June 2020 issue of Optica.

“This new technology could be very useful for detecting anemia, which is characterized by low levels of blood hemoglobin. This is a major public health problem in developing countries, but can also be caused by cancer and cancer treatments,” said senior author Professor Young Kim, PhD, of Purdue University. "The COVID-19 pandemic has greatly increased awareness of the need for expanded mobile health and telemedicine services.”

Related Links:
Purdue University
Vanderbilt University
Moi University


Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Eye-Level Digital Physician Scale
icon

Print article

Channels

Critical Care

view channel
Image: Researchers have made significant advances in ingestible microbiome sampling pill technology (Photo courtesy of Tufts University)

Ingestible Microbiome Sampling Pill to Help Diagnose Wide Range of Health Conditions

The healthy human gut is home to more than 1,000 species of bacteria, most of which play a beneficial role in digestion and protecting against disease. When the natural balance of these microbes is disrupted,... Read more

Surgical Techniques

view channel
Image: New studies suggest benefit of total robotic metabolic and bariatric surgery over conventional laparoscopy (Photo courtesy of 123RF)

Total Robotic Metabolic and Bariatric Surgery Proves More Beneficial than Conventional Laparoscopy

According to the U.S. Centers for Disease Control and Prevention (CDC), 42.4% of Americans are affected by obesity. Research indicates that obesity can compromise the immune system, trigger chronic inflammation,... 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: POCT offers cost-effective, accessible, and immediate diagnostic solutions (Photo courtesy of Flinders University)

POCT for Infectious Diseases Delivers Laboratory Equivalent Pathology Results

On-site pathology tests for infectious diseases in rural and remote locations can achieve the same level of reliability and accuracy as those conducted in hospital laboratories, a recent study suggests.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.