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US 2025/0375147 A1Published application
Seizure detection
AssigneeSamsung Electronics Co., Ltd.
InventorsQuan Dong, Chaoyi Kang, Yu Hao Chang, Matthew Wiggins
Life of this patent
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Abstract
In one embodiment, a method includes detecting, by each of multiple sensors of a wearable device worn by a user, a physiological signal of the user; determining, by the wearable device, whether at least one of the detected physiological signals indicates that the user is suffering a seizure; and in response to a determination that the user is suffering a seizure, then determining, by a trained neural network and based on multiple detected physiological signals, a seizure condition of the user.
Claims20
A method comprising:
- detecting, by each of a plurality of sensors of a wearable device worn by a user, a physiological signal of the user;
- determining, by the wearable device, whether at least one of the detected physiological signals indicates that the user is suffering a seizure;
- and
- in response to a determination that the user is suffering a seizure, then determining, by a trained neural network and based on a plurality of the detected physiological signals, a seizure condition of the user.
1 more element
A wearable device comprising:
- a plurality of sensors, each sensor configured to detect a physiological signal of a user wearing the wearable device;
- one or more non-transitory computer readable storage media storing instructions;
- and one or more processors coupled to the one or more non-transitory computer readable storage media and operable to execute the instructions to:
- access, from each of the plurality of sensors, a respective detected physiological signal of the user;
- determine whether at least one of the detected physiological signals indicates that the user is suffering a seizure;
- and
- in response to a determination that the user is suffering a seizure, then determine, by a trained neural network and based on a plurality of the detected physiological signals, a seizure condition of the user.
4 more elements
An apparatus comprising:
- a wearable device comprising:
- a plurality of sensors, each sensor configured to detect a physiological signal of a user wearing the wearable device;
- one or more first non-transitory computer readable storage media storing instructions;
- and one or more first processors coupled to the one or more first non-transitory computer readable storage media and operable to execute the instructions to:
- access, from each of the plurality of sensors, a respective detected physiological signal of the user;
- determine whether at least one of the detected physiological signals indicates that the user is suffering a seizure;
- and
- in response to a determination that the user is suffering a seizure, then provide, to a computing device, one or more of the detected physiological signals;
- and
- the computing device, comprising one or more second non-transitory computer readable storage media storing instructions;
- and one or more second processors coupled to the one or more second non-transitory computer readable storage media and operable to execute the instructions to:
- access the one or more detected physiological signals provided by the wearable device;
- and
- determine, by a trained neural network on the computing device and based on a plurality of the accessed physiological signals, a seizure condition of the user.
11 more elements
Dependencies are inferred from the claim text.