Agriculture
November 9, 2023
Updated on November 9, 2023
·Created on November 17, 2019
Epilert is a wearable device for epilepsy detection supervised by doctors through artificial intelligence.
Epilert is a smart wearable device which uses advanced sensors along with Machine learning to detect epilepsy seizures, send alerts to caregivers, monitor sleep and physical activities. The device connects to a mobile application to sync data and send alerts. It detects seizures from the electrical activity of the body, the sensors transduce it into stress level. Currently the product is undergoing clinical trials.
Target Users (Target Impact Group)
Distributors / Implementing Organizations
Unknown
Manufacturing/Building Method
This product is currently in the prototyping phase and not yet manufactured at scale, it is currently in clinical trials in Tunisia.
Intellectural Property Type
Other
User Provision Model
The designers have not yet selected their user provision model.
Distributions to Date Status
None
Design Specifications
Epilert is a smart wearable device capable of transducing data in the form of electrical signals to stress level. The device functions with the help of a mobile application that can share the data with the healthcare professionals for the diagnosis.
Technical Support
Provided by manufacturer
Replacement Components
Replaceable components include the battery of the wearable device.
Lifecycle
Unknown
Manufacturer Specified Performance Parameters
Designer specified performance targets include detecting epilepsy seizures, sending alerts to caregivers, monitor sleep, and physical activities.
Vetted Performance Status
No testing has been completed
Safety
Users must take appropriate precautions when using the electrical wearable band.
Complementary Technical Systems
A reliable power source is required to charge this product.
Academic Research and References
Sasikala, R., Asuntha, A., & Indirani, S, 2016, Detection and prediction of seizures using a wrist-based wearable platform. Journal of Chemical and Pharmaceutical Sciences, 9(4), 3208-3215.
Ganesh Raam, K., & Sasikala, R., 2016 Detection and Prediction of Seizures using a Wrist-based Wearable Platform. International Journal of Circuit Theory and Applications, 9(37), 193-203.
Fisher, R. S, 2012, Therapeutic devices for epilepsy. Annals of neurology, 71(2), 157-168.
Jory, C., Shankar, R., Coker, D., McLean, B., Hanna, J., & Newman, C, 2016, Safe and sound? A systematic literature review of seizure detection methods for personal use. Seizure, 36, 4-15.
Compliance with regulations
Unknown
Other Information
None
Agriculture
November 9, 2023
Agriculture
November 9, 2023
Implemented by
Water and Environmental Engineering, University of Bristol
Agriculture
November 9, 2023
Agriculture
November 9, 2023
Agriculture
November 9, 2023
Agriculture
November 9, 2023
Agriculture
November 9, 2023
Agriculture
November 9, 2023
Agriculture
November 9, 2023
Agriculture
November 9, 2023
Implemented by
Glanris
Have thoughts on how we can improve?
Give Us Feedback