How to Accurately measure Arterial Stiffness and Endothelial Dysfunction Accurately with Proven Smartphone Technology Under 3 Minutes.
Problem with Questionnaire-Based Existing Mental Health Instruments Mental Health assessments have been performed so far by various mental health instruments(as you can find in our validated free instrument for self-assessment). Questionnaire-based instruments have the following problems:- It is impossible to validate the authority of the answers. We need to rely on the words of the…
Learn how Lyfas detects the cardiac risk in Genetic Duchene Muscular Dystrophy disorder
Read the detailed methodology of validating Lyfas Mobile Application(LMA) against the gold-standard HRV polar-10 belt.
Lyfarn about about machine learning tool for grading the X-ray images to detect COVID-19 Pneumonia
Learn how fatality can be measured using simple techniques with our Dengue paper
Learn how Lyfas Clinical head developed a simple Heuristic based system to classify Dengue severity and then predict the fatality in the dengue cases.
Learn how Lyfas detects vitals by detecting the change in the color around the face with 91% accuracy from camera.
Learn how Lyfas Mobile Application(LMA) detects COVID 19 in Asymptomatic patients with its patent pending technology
The Heart Rate Variability and Pulse Arrival Time are combined using a single lead ECG and simultaneous capture of the arterial pulse. The test procedure is carried out on 75 subjects consisting of a male(80%) and female(20%) with 39 existing MI cases, 24 long-term diabetics with high MI probability, and other normal subjects. This system…
Learn how Lyfas Consumer grade handheld ECG can help you detect risks of MI from our hand-held Lyfas ECG device.
Lyfas monitors cardiac risks in the COPD patients using non invasive smartphone application and gives timely alert for hospitalization. A Research publication with title “Statistical Validation of Cardiovascular Digital Biomarkers Towards Monitoring the Cardiac Risk in COPD: A Lyfas Case Study”
The study found that 77% of the subjects (84% females and 72% males) showed traces of Subclinical
depression, further validated by a senior psychiatrist through a series of consultations. ‘Insomnia’ (males 36% and females 71%) and ‘Negative thoughts’ (males 36% and females 46%) were the two correlated high-rank effects of the Subclinical depression in the sample.