Cambridge Heartwear

Tomorrow's health technology, today.

Wearable heart monitoring technology with real time data, cutting-edge artificial intelligence able to deliver immediate results.

Intelligent. Responsive. Life-saving.
Conceived & Developed BY doctors for you

Technology developed by the collaboration of clinical academics in cardiology and cardiovascular regeneration with world leaders in computer vision and real-world applications.

Designed to offload the burden of cardiology departments, sensitive and specific data is gathered and analysed in real-time without the need for specialist assessment.

Designed in partnership with the Royal college of ART.
Our innovative wearable tech gathers real-time sensitive and specific data of the hearts rhythm and streams it wirelessly to 'the cloud'. This data is instanty diagnosed by our own Artificial Intelligence using powerful algorithms and fed back to you via our app.

Real-time ECG direct to your device
Artificial Intelligence that can
saves lives

Our powerful algorithms and Artificial Intelligence are able to interpret data wirelessly, streamed in real time to 'the cloud'.

With an accuracy level in excess of 95% our A.I is able to identify aberrant rhythms just as a physicist would.

It saves time. It saves lives.
INTELLIGENT
WearAble

By having no leads and being ergonomically shaped to the body we've made the device more comfortable to wear than the normal Holter monitor.

All monitoring equipment is enclosed in a waterproof casing making it an extremely tough and robust peice of equipment. By utilising our knowledge of clinical anatomy and electrophysiology we've placed not one but, multiple independent sensors in key areas to measure heart rhythms that can triangulate readings to produce more specific and sensitive data.

The only real time, Multiple ECG, Pulse Oximetry,
Temperature And Wireless Charged Device
A very different kind of device.
About
cambridge HeartWear

We are a medical device and algorithm company using artificial intelligence and computer science for the prevention of heart disease and stroke. WE are based in Cambridge Science Park in Cambridge UK. Our founders all came from a university which is pretty old, 800 + years to be precise you may have heard of it...

We invest heavily on research and development to take real world clinical problems and solve them using the current technology, making it accessible for all.

Our extensive knowledge is in cardiovascular regeneration and cardiology specialising in electrophysiology and inherited cardiac disorders of the heart.

In collaboration with a world leader in real-world applications and academics in the Cambridge University Engineering Department, our passion is in developing new clinical pathways, therapies and understanding mechanisms to treat underlying biology behind not-so-rare disorders.
Our great team

Dr Rameen Shakur MD PhD FRSA
Cambridge, Edinburgh, Oxford, Harvard, London, MIT: Captain. Clinician, academic, scientific guru and visionary. Often heard saying, “If it's not helping the patient, forget it”
Professor Roberto Cipolla PhD FREng
Oxford, Cambridge : Chief Scientific advisor World leader in computer vision and machine learning. Often heard saying, “Show me the data."
Dr James Charles PhD
Oxford, Cambridge : AI specialist deep learning guru and computer vision expert.
Often heard saying, “Thats easy”
DR ROBERT LOWE PhD
Warwick, Cambridge, London: Chief Technical officer IT ninja. Makes it all come together. Often heard saying, “Rameen… give me a break!"
BE A PART OF OUR Success

If you are a science or engineering graduate and would like to be part of some cutting edge technology. Apply here.

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COMPUTER NINJA

Essential criteria:
2.1 degree or equivalent in Computer Science, Information Engineering, Software Engineering, Statistics, Math or relevant subject.

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COMPUTER NINJA

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Essential criteria:
- 2.1 degree or equivalent in Computer Science, Information Engineering, Software Engineering, Statistics, Math or relevant subject.
- A practical, organized and analytical approach to work.
- A strong analytical background.
- General IT skills in preferably Linux, but also comfortable using Windows and macOS operating systems.
- Prior experience with using Python and/or MATLAB.
- Efficient in gathering, cleansing and manipulating data.
- Prior understanding of existing machine learning algorithms and proficiency in statistics, sampling, hypothesis testing, regression, classification, clustering, etc.
- Enthusiasm for producing graphically appealing results.
Desirable:
- Masters degree or equivalent in a strong analytical subject such as Computer Science, Information Engineering, Software Engineering, Statistics or Math.
- Prior experience using a deep learning package such as Keras, Tensorflow, Caffe or MatConvNet.
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