Home2021-12-13T14:59:48+00:00

Ebers Health offers a cloud based service platform for real time multi-disease monitoring and diagnosis support

‘If the heart trembles, has little power and sinks, the disease is advancing.’ (The Papurus Ebers, c. 1534 BC)

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The Ebers Health service platform supports clinicians by providing medical diagnosis support and treatment efficacy monitoring. That support is based on real time analysis of Heart Rate signals from wearable devices. Our research team has developed deep learning algorithms to detect Atrial Fibrillation (AF), sleep apnea, and diabetes. Our pioneering AF monitoring and detection algorithm has been validated with both benchmark and clinical data. Our reliable cloud interface offers safety and accessibility anywhere anytime. Our modular platform design enables customization of specific disease monitoring and diagnostic support services based on your needs.

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Arrhythmia Detection

Arrhythmias are defined as an irregular rate or rhythm of the heart. The most common arrhythmia is atrial fibrillation, which affects about 2% of the general population. Having atrial fibrillation increases the stroke risk fivefold. Our arrhythmia module offers automated diagnostic support for a range of arrhythmia, including atrial fibrillation, atrial flutter, supraventricular tachycardia, sinus tachycardia, sinus bradycardia.

Sleep Apnea Detection

Sleep apnea is a potentially serious breathing disorder. It is characterised by breathing stopping and starting during sleep. Our sleep apnea module can detect sleep apnea induced changes in heart rate signals. This technology has the potential to establish an independent measure to assess the sleep quality of a patient in the home environment. Realising that potential would improve outcomes for patients by providing diagnosis support and long term treatment efficacy monitoring.

Diabetes Detection

Diabetes is a condition that causes elevated blood sugar levels. Our diabetes module can detect diabetes induced changes in heart rate signals. This technology has the potential to establish an independent measure to assess the heart health of a diabetes patient in an unobtrusive and cost-effective way. Realising that potential would improve outcomes for patients through continuous heart health and treatment efficacy monitoring.

All it takes is two bytes a second to monitor your health

Find Out More: HRV analysis extracts information from the beat-to-beat variation of the human heart. That information can be used to confirm the presence of disease.

Publications
Dr Oliver Faust
Dr Oliver Faust
Google Scholar

Oliver is an international expert for medical decision support systems, artificial intelligence, Internet of Medical Things, and signal processing. Oliver has a significant track record of delivering complex projects on time and on budget, supported by commercial and research council income totalling over £3 million.

Dr Ningrong Lei
Dr Ningrong Lei

Ningrong is an expert in diagnostic decision support systems, and service platform design. She is the entrepreneurial lead for real time atrial fibrillation detection for stroke prevention project. Ningrong is passionate to translate this big data enabled service innovation into a commercially successful service which benefits the society.

Aleksandra Love
Aleksandra Love

Aleksandra is an innovation expert and a mentor experienced in supporting entrepreneurs to build businesses and bring new technologies to market. She brings expertise in the development of business models, raising public and private funding and navigating the health and well-being sectors.

Madeline Baker
Madeline Baker

Madeline is a Funding Adviser at Sheffield Hallam University, supporting businesses and academics to develop applications and secure funding. Her role as Technology Transfer Officer is to represent the University within the Ebers Health team. She manages the University’s involvement in the project team, facilitating links and identifying opportunities.

Dr. Danielle Miles
Dr. Danielle Miles

Danielle provides innovation management expertise, having spent over 5 years working on medtech innovation programmes helping to de-risk and accelerate the development and commercialisation of over 350 medical technologies in the Yorkshire region.

Jame Walsh
Jame Walsh

Danielle provides innovation management expertise, having spent over 5 years working on medtech innovation programmes helping to de-risk and accelerate the development and commercialisation of over 350 medical technologies in the Yorkshire region.

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