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A device to monitor ultra long-term EEG signals is undergoing a clinical trial. It was developed by Epiminder, which has raised over $44 million since June 2018.
- A device to detect and eventually predict epileptic seizures is undergoing a Phase I clinical trial in Australia.
- As many as one-third of people with epilepsy cannot control their seizures with medication.
- Epiminder was co-founded by University of Melbourne researchers to develop and commercialise the device.
An implantable device to detect and eventually predict epileptic seizures is undergoing a Phase I clinical trial in Australia. The trial will test the safety of the device in a small number of people. It will also show whether the device can successfully record brain activity and transmit that data to a remote database.
The device is designed and manufactured by Epiminder, a company co-founded in 2018 by University of Melbourne researchers. Investors in Epiminder include medical device company Cochlear Ltd, the Bionics Institute, St Vincent’s Hospital Melbourne and the University of Melbourne.
Epileptic seizures can cause temporary loss of awareness and affect movement, sensation and mood. The unpredictability of seizures means that people with epilepsy may be unable to work or drive.
A means to reliably predict seizures would make it easier for people with epilepsy to carry out everyday activities. It would also benefit their safety, mental health and employability.
An estimated 50 million people worldwide live with epilepsy. As many as one-third of them cannot control their seizures with medication.
The technology is based on research in neuroscience and electrical engineering from a team led by Professor Mark Cook. He heads the University of Melbourne’s Graeme Clark Institute for Biomedical Engineering and is also a clinician at St Vincent’s Hospital Melbourne.
The research team found evidence of seizure cycles – an increased likelihood of experiencing a seizure at a particular time of day, week or month. In their study, 86 per cent of people with epilepsy had seizures that followed at least one significant cycle. For example, 83 per cent of people had a daily (circadian) cycle, while 23 per cent had a weekly cycle.
The team also found that seizure duration and frequency varied considerably between people with epilepsy but was highly predictable within individuals.
Technology development history
Professor Cook’s research team had been studying seizure prediction since 2005. In 2010, they partnered with Neurovista, a medical device company based in Seattle, USA. They designed a seizure advisory system that was trialled in 15 people. A device implanted under the skull recorded brain activity using electroencephalography (EEG). A second device, which was implanted in the chest, transmitted the EEG data to external equipment. An algorithm predicted seizures for each person based on their individual brain activity.
The trial showed that it was possible to record continuous EEG and transmit and analyse this data. However, a major limitation was the inability to analyse large amounts of data fast enough to provide reliable seizure forecasts.
To overcome this, Professor Cook’s research team adopted machine-learning algorithms they had developed for epilepsy diagnosis. These algorithms incorporate the team’s findings on seizure cycles and duration. The team also investigated the best method for long-term implantation of EEG electrodes under the scalp. This is a much less invasive way of collecting the EEG data than the Neurovista device.
To further develop and commercialise the seizure detection device, Professor Cook co-founded Epiminder in June 2018 with Associate Professor Chris Williams, who led the preclinical research and Minder device development at the Bionics Institute.
Epiminder raised around $A10 million in initial investment. Investors include Cochlear Ltd, the Bionics Institute, St Vincent’s Hospital Melbourne, the University of Melbourne and private investors. Cochlear invested $A2 million and at the initial stage contributed to the design and development of the device to the value of $A1.65 million.
Epiminder has an exclusive license to intellectual property owned by the Bionics Institute, St Vincent’s Hospital Melbourne and the University of Melbourne.
In 2019, Epiminder began a clinical trial with its implantable device. Data will be collected from each person involved in the trial, and transferred wirelessly from the device to their mobile phone. Data will then be transmitted to cloud storage managed by Epiminder.
The trial will test the safety of implanting the device and its ability to record brain activity over extended periods and transmit the data.
In late 2020, Epiminder raised $A18 million in Series A funding from private investors and existing shareholders and an additional $16 million in late 2021.
How the Epiminder device works
St Vincent’s Hospital Melbourne
ARC Linkage Project (LP0560684)
NMHRC Project Grant (APP1048360)
NHMRC Project Grant (APP1065638)
NHMRC Project Grant (APP1075347)
Karoly PJ et al (2017) The circadian profile of epilepsy improves seizure forecasting. Brain 140(8): 2169–2182. doi: 10.1093/brain/awx173
Benovitski YB et al (2017) Ring and peg electrodes for minimally invasive and long-term sub-scalp EEG recordings. Epilepsy Research 135: 29–37. doi: 10.1016/j.eplepsyres.2017.06.003
Cook MJ et al (2013) Prediction of seizure likelihood with a long-term, implanted seizure advisory system in patients with drug-resistant epilepsy: a first-in-man study. Lancet Neurology 12: 563–571. doi: 10.1016/S1474-4422(13)70075-9
RRR’s Einstein A Go-Go podcast
Listen to Professor Mark Cook and Dr Pip Karoly talk about predicting epileptic seizures.
‘Epilepsy seizures’ – The Lancet Neurology podcast
Listen to Professor Mark Cook talk about epilepsy seizure detection and prediction.
A device that could change the lives of people with epilepsy for good
Read a TED article on Professor Cook's work to develop a seizure prediction device.
Banner image: Epi-Minder’s implantable device monitors the brain’s electrical activity to detect epileptic seizures, paving the way for their eventual prediction.
First published on 28 April 2020.
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