epihunter Pro
Our service for the physician

Epihunter Pro makes the automatically built seizure diary available through a webportal for the physician. The epihunter home-care solution is based on a wearable EEG headband and a smartphone with a detection algorithm. When a seizure is detected, the people around are notified immediately. Next to this, an entry is automatically logged in the seizure diary. Also, a video can be automatically recorded with the smartphone, including the 30 seconds prior to the detection. Thus, epihunter ensures a high adherence and accurate, reliable seizure diary. Thanks to the epihunter Pro service, you as a physician will access your patients' epihunter data through a secure and intuitive web portal.

Epihunter is a CE class I medical device software.

Contact us now for more info or a demo!

Learn how epihunter can support a faster and more efficient follow-up
of your patients with (suspected) absence seizures.

Insights for the physician

Objective data supplements the patient-provided history during diagnosis and treatment changes
Potentially reduction of hospital visits and more efficient (tele)consultations thanks to data and better-prepared patients
Allows for a fast and personalised follow-up of patients using easy-to-implement technology
Possibility to facilitate home-based hyperventilation tests

"We found the neurologist reports from epihunter to be very helpful during conversations with our consultant. The graphical overviews made it easier for us to compare the data month to month and track changes in seizure frequency. This was of particular interest as our son's medication dose had been increased and - through epihunter - we observed a decrease in absence seizures.”
Jon & Laura, parents of Rafe (5), UK

Our secure and easy-to-use epihunter Pro web portal provides access to reports from your patients. These are in downloadable PDF format en includes three sections:

Info & calendar view: highly visible monthly overview of epihunter use to potentially identify seizure patterns
Diary: monthly records of seizure detections, including seizure duration, user-reported annotations and hyperlinks to automatically recorded seizure videos
EEG-traces: upon request, also raw EEG data can be provided

Aantekening 2020-06-28 142214

Seizure video screenshot-1

Automated seizure video, including pre-ictal period

When a seizure is detected or logged by hand, epihunter automatically records a video. The video will start 30 seconds prior to the detected onset or logging, as well as up to 30 seconds after the seizure. This requires only the smartphone's camera and EEG headset, no other equipment is needed.

We believe that this simple yet powerful feature holds great triage and diagnosis opportunities by creating many more qualitative seizure videos.

"Video is a cornerstone in diagnosis and therapy optimisation. And pre-ictal [the moments prior to a seizure] video is of utmost interest for the treating physician.”
Dr Alexander Rotenberg,
Neurologist at Boston Children’s Hospital and Associate Professor of Neurology at Harvard Medical School

How it works

The wearable EEG headset uses dry gold-plated copper electrodes that are in direct contact with the skin on the forehead. The measurement electrodes are located at Fp1 and F7. The EEG signal is digitized and forwarded to the smartphone over Bluetooth. On the phone, the AI program continuously analyzes the incoming data.

The detections, videos, user annotations and raw EEG data are all securely stored in the cloud. Users and their caregivers can use the epihunter Companion app to access and share this information manually with their doctor or others. With an epihunter Pro license, the data and videos automatically become available to the physician with single patient consent.

Prospective Validation Study

Epihunter has been validated in a multi-center prospective phase 3 validation study, funded by a New Therapy Grant of the Epilepsy Foundation (US). The study ran in Belgium, the US, Denmark and Georgia.

BCH-Aarhus-UZLeuven-Tbilisi-EpilepsyFoundation

Automatic absence detections by epihunter were compared to electrographic seizures (EGS) as indicated by experts on the simultaneously recorded clinical video EEG. The study included 102 subjects, 309 hours of joint clinical and wearable EEG, and 364 absence seizures.

Sensitivity	False-alarm rate
92.90% IQR: 66.7%-100%	0 FA/h IQR: 0-0.61 FA/h
Prospective validation study results epihunter versus video EEG. 102 subjects, 309 hours, 364 absence seizures. Median values.

As far as we know, this is the first phase 3 validation study of a wearable device for absence seizure detection. More results can be found in the study one-pager.

Publications

Japaridze G., Loeckx D., Buckinx T., Armand Larsen S., Proost R., Jansen K., MacMullin P., Paiva N., Kasradze S., Rotenberg A., Lagae L., Beniczky S. (February 17, 2022). Automated detection of absence seizures using a wearable electroencephalographic device: a phase 3 validation study and feasibility of automated behavioral testing. In Epilepsia.
Beniczky, S. et al. Epihunter Absence Phase 3, prospective, multicenter validation study. In 3rd International Congress on Mobile Devices And Seizure Detection in Epilepsy, October 28-30, 2021, Copenhagen. Watch video
Loeckx, D., Buckinx, T., Werckx, W., Van De Vel, A., & Ceulemans, B. (May 20-22, 2021). Hybrid epilepsy care: wearable, home EEG in the diagnosis and follow-up of absence seizures. In Epilepsy Colloquium 2021, virtual (00081)
Watson, AJ., & Buckinx, T. (August 28, 2020). Repurposing technology to create a new normal for non-motor epilepsies. In: 2020 Epilepsy Pipeline Conference, Virtual
Loeckx, D. Epihunter Clinical Validation: Interim Results. In: Boada, Christina M et al. “Proceedings of the 2020 Epilepsy Foundation Pipeline Conference: Emerging Drugs and Devices.” Epilepsy & behavior : E&B vol. 125 (2021): 108364. doi:10.1016/j.yebeh.2021.108364 .
Watson, AJ., & Buckinx, T. (May 15, 2020). Repurposing technology to create a new normal for hidden disabilities. In 10th European Conference on Rare Diseases & Orphan Products (ECRD 2020), Virtual (p. 25/26).
Loeckx, D., & Buckinx, T. (September 6, 2019). In-field validation of epihunter for the detection of absence seizures using wearable EEG. In 2nd International Congress on Mobile Devices and Seizure Detection in Epilepsy, Lausanne, 2019
Loeckx, D., Buckinx, T., & Lagae, L. (June 24, 2019). Validation of automatic absence seizures detection in single-lead frontal EEG. In 33rd International Epilepsy Congress (p. 1).
Loeckx, D., Buckinx, T., & Lagae, L. (November 9, 2018). Validation of a deep learning for the detection of absence seizures in single-lead EEG. In Belgian Society of Paediatric Neurology Autumn Meeting, Antwerp, Belgium
Loeckx, D., & Buckinx, T. (August 29, 2018). Feasibility study for using consumer-grade EEG headsets to improve the life of patients with absence epilepsy. In 13th European Congress on Epilepsy, Vienna, Austria (p. 582).

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