A monitoring system for epilepsy patients that allow the patient to manage his or her own life routine.
Epis was inspired through one of our team members (Shira Saar), who has a 10-year-old cousin who has epilepsy.
After a conversation with her aunt, she found out that the illness was preventing her cousin from being away from home without his mother. In addition, her aunt must go with him everywhere in case something happens, she will have to give the essential action. The disease hurt his independence, creating a certain dependence and constant concern. After realizing the situation of her aunt is in, she felt this problem must be solved.
Epilepsy is characterized by sudden involuntary seizures accompanied by tremors and seizures. The seizure is unmanageable and unpredictable and can occur at any given moment, even in time Sleep. Each seizure damages the patient’s mind and memory. If the seizure lasts more than two minutes, there is a need to evacuate the patient to the nearest hospital for treatment.
There are about 81,795 epilepsy patients in Israel alone,
1 from 1000 persons has Epilepsy 9 and 10 patients per 1,000,1 persons in the population
The patient’s lack of time control The seizure causes him to hang around and he needs a caretaker, which impedes his independence.
We want to restore the patient independence
The device will detect by the muscle sensor the intensity of muscle contraction and send them to the
microcontroller. The microcontroller will detect when there is an epileptic attack by recognizing the frequency of muscle contractions. Once an epileptic seizure is detected, the device will alert a computerized system to send the information to the predefined contacts and the location of the patient, in addition, the system will be alerted on the spot by LED and hum so that people in the patient’s
Development of an accurate epilepsy detection algorithm.
To determine if seizure Occurs our product is base on two main parameters, the frequency of muscle contractions and the intensity of the contractions. To find the right algorithm, you need to correlate these 2 parameters with an epileptic attack. There is currently no research that provides enough data to make an accurate algorithm. Importantly, these parameters may differ from person to person, so the algorithm must have the option to change the parameters.
The contrast between product comfort and the size of electronic components. The product must be wearable due to the fact that it needs to be connected to the patient’s body and to know his place during the day. The device must be of a high standard. At the moment, the size of the components allows us to give a certain design.
at the same time we developed an ideal size design as a smart bracelet size
We find a solution for thousands of epilepsy patients who fear their health when experiencing a seizure. The product allows them to manage their daily lives without the fear of being left alone without help when they experience a seizure. They can be sure that their relatives will know when they are having a seizure and thus cab call for help in their location.
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– Source code
– Brand & Product design
– Working prototype
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We made a prototype that includes the muscle sensor, CPU, wifi transmitter, and GPS transmitter. Integration tests were performed on the device successfully and we were able to transfer the information to the server. The system manages to get reliable location by connecting to the GPS component, but there are reception problems in confined spaces such as rooms and corridors, due to the antenna size and the limited capabilities of the component.
In terms of design, we have developed 2 design models – one relating to existing electronic components and the other relating to design aspiration and maximum comfort
Correlation information between muscle contraction and epileptic seizures to write an effective algorithm. Minimize existing components to fit the product size to the design requirement for maximum comfort.