Relative Health Limited

CAPE is a Machine Learning Project using Artificial Intelligence to probe the world of ECG signals. We use the power of Google's Deepmind to probe, analyse and pattern match almost 100,000 publicly accessible ECG signals. The aims of CAPE are to establish if there are hidden bio-markers within the ECG signals that can help us understand the cardiovascular...

It is well recognized that ambulatory blood pressure (BP) monitoring by means of wearable sensors has the potential to enable new levels of health-related vigilance and medical care in a number of novel settings, including, for example, controlling chronic hypertension and monitoring in-patients during convalescence. However, a significant challenge to re...

"It is well recognized that ambulatory blood pressure (BP) monitoring by means of wearable sensors has the potential to enable new levels of health-related vigilance and medical care in a number of novel settings, including, for example, controlling chronic hypertension and monitoring in-patients during convalescence. However, a significant challenge to r...

ACE-WP is an industrial research project aiming to use a new approach of multi-stage Machine Learning Algorithms to extrapolate biomarker information from combined ECG and Photoplethysmographic sensor. The primary aim of this research is to build on approach to the estimation of Blood Pressure when measured from the hands with the secondary aim of being a...

As the aging population increases, the financial strain on services will only increase. RHIP aims to provide a solution to the problem of developing a private healthcare model for families where the main current wage earner is supporting their children, whilst also looking after their parents simultaneously. We know these people as the “sandwich generatio...