Detection and response to arousal activations
Arousal events can be determined for a user associated with a wearable device, such as a user wearing a wearable computing device including one or more sensors. The one or more sensors may obtain EDA information that may determine a sympathetic nervous system response of the user, which may be responsive to an arousal event or an activation. Detection of events that increase the EDA response may provide information to the user regarding arousal events and provide recommendations to the user to address the arousal events to decrease their response.
1. A method for utilizing a wrist-worn wearable computing device to detect an arousal event associated with a sympathetic nervous system of a user, the method comprising:
receiving, from a plurality of sensors on the wrist-worn wearable computing device, data indicative of the arousal event associated with the sympathetic nervous system, the plurality of sensors comprising at least one first electrode on a bottom face of the wrist-worn wearable computing device and contacting a wrist of the user and at least one second electrode on a top surface of the wrist-worn wearable computing device, the at least one first and second electrodes being electrically isolated within the wrist-worn wearable computing device, wherein the data indicative of the arousal event associated with the sympathetic nervous system comprises, at least, electrodermal activity (EDA) data captured when the user places one or more fingers on the at least one second electrode on the top surface of the wrist-worn wearable computing device, the at least one second electrode comprising at least one EDA sensor that measures, at least, a skin conductance response to sweat or moisture on the skin of the user;
classifying the data indicative of the arousal event associated with the sympathetic nervous system into a plurality of bins, the plurality of bins corresponding to periods of time;
determining at least one bin of the plurality of bins exceeds a threshold; and
in response to the at least one bin exceeding the threshold, providing, via a display screen of the wrist-worn wearable computing device, a notification to the user identifying the arousal event associated with the sympathetic nervous system.
2. The method of claim 1 , wherein the notification comprises a recommendation for the user as to how to lower a response of the sympathetic nervous system.
3. The method of claim 1 , wherein the data indicative of the arousal event comprises electrocardiography (ECG) data captured using the at least one first and second electrodes, the at least one first and second electrodes comprising at least one ECG sensor.
4. The method of claim 1 , further comprising transforming the data indicative of the arousal event.
5. The method of claim 4 , wherein transforming the data indicative of the arousal event comprises at least one of computing a derivative of the data, averaging the data over the plurality of bins, normalizing the data, or filtering the data.
6. The method of claim 1 , further comprising:
activating, upon receiving an input from the user, an arousal monitoring service;
providing, to the user, instructions to data acquisition; and
determining user contact with the wrist-worn wearable computing device for the data acquisition is sufficient.
7. The method of claim 1 , wherein the threshold comprises at least one of an activity value, a percentage over a baseline, or a number of arousal events over a period of time.
8. A wrist-worn wearable computing device, comprising:
a display screen;
a plurality of sensors, the plurality of sensors comprising at least one first electrode on a bottom face of the wrist-worn wearable computing device and contacting a wrist of the user and at least one second electrode on a top surface of the wrist-worn wearable computing device, the at least one first and second electrodes being electrically isolated within the wrist-worn wearable computing device;
at least one processor; and
memory including instructions that, when executed by the at least one processor, cause the at least one processor to:
receive, from the plurality of sensors on the wrist-worn wearable computing device, data indicative of an arousal event associated with a sympathetic nervous system, wherein the data indicative of the arousal event associated with the sympathetic nervous system comprises, at least, electrodermal activity (EDA) data captured when the user places one or more fingers on the at least one second electrode on the top surface of the wrist-worn wearable computing device, the at least one second electrode comprising at least one EDA sensor that measures, at least, a skin conductance response to sweat or moisture on the skin of the user;
classify the data indicative of the arousal event associated with the sympathetic nervous system into a plurality of bins, the plurality of bins corresponding to periods of time;
determine at least one bin of the plurality of bins exceeds a threshold; and
in response to the at least one bin exceeding the threshold, provide, via the display screen, a notification to a user identifying the arousal event associated with the sympathetic nervous system.
9. The wrist-worn wearable computing device of claim 8 , wherein the notification comprises a recommendation for the user as to how to lower a response of the sympathetic nervous system.
10. The wrist-worn wearable computing device of claim 8 , wherein the at least one first and second electrodes further comprise one or more electrocardiography (ECG) sensors, wherein the data indicative of the arousal event further comprises ECG data.
11. The wrist-worn wearable computing device of claim 8 , wherein the instructions, when executed by the least one processor, further cause the at least one processor to:
transform the data indicative of the arousal event.
12. The wrist-worn wearable computing device of claim 11 , wherein transforming the data indicative of the arousal event comprises at least one of computing a derivative of the data, averaging the data over the plurality of bins, normalizing the data, or filtering the data.
13. The wrist-worn wearable computing device of claim 8 , wherein the instructions, when executed by the least one processor, further cause the at least one processor to:
activate, upon receiving an input from the user, an arousal monitoring service;
provide, to the user, instructions to data acquisition; and
determine user contact with the wrist-worn wearable computing device for the data acquisition is sufficient.
14. The wrist-worn wearable computing device of claim 8 , wherein the threshold comprises at least one of an activity value, a percentage over a baseline, or a number of arousal events over a period of time.
15. A non-transitory computer-readable storage medium comprising instructions that, when executed by at least one processor, cause the at least one processor to:
receive, from a plurality of sensors on a wrist-worn wearable computing device, data indicative of an arousal event associated with a sympathetic nervous system, the plurality of sensors comprising at least one first electrode on a bottom face of the wrist-worn wearable computing device and contacting a wrist of the user and at least one second electrode on a top surface of the wrist-worn wearable computing device, the at least one first and second electrodes being electrically isolated within the wrist-worn wearable computing device, wherein the data indicative of the arousal event associated with the sympathetic nervous system comprises, at least, electrodermal activity (EDA) data captured when the user places one or more fingers on the at least one second electrode on the top surface of the wrist-worn wearable computing device, the at least one second electrode comprising at least one EDA sensor that measures, at least, a skin conductance response to sweat or moisture on the skin of the user;
classify the data indicative of the arousal event associated with the sympathetic nervous system into a plurality of bins, the plurality of bins corresponding to periods of time;
determine at least one bin of the plurality of bins exceeds a threshold; and
in response to the at least one bin exceeding the threshold, provide, via the display screen, a notification to a user identifying the arousal event associated with the sympathetic nervous system.
16. The non-transitory computer-readable storage medium of claim 15 , wherein the at least one first and second electrodes further comprise one or more electrocardiography (ECG) sensors, wherein the data indicative of the arousal event further comprises ECG data.
17. The non-transitory computer-readable storage medium of claim 15 , wherein the instructions, when executed by at least one processor, further cause the at least one processor to:
activate, upon receiving an input from the user, an arousal monitoring service;
provide, to the user, instructions to data acquisition; and
determine user contact with the wrist-worn wearable computing device for the data acquisition is sufficient.
18. The non-transitory computer-readable storage medium of claim 15 , wherein the threshold comprises at least one of an activity value, a percentage over a baseline, or a number of arousal events over a period of time.