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 of a user, comprising:
receiving, from a plurality of sensors on the wrist-worn wearable computing device, data indicative of the arousal event, the plurality of sensors comprising a first electrode on a bottom face of the wrist-worn wearable computing device and contacting a wrist of the user and a second electrode on a top surface of the wrist-worn wearable computing device, the first and second electrodes being electrically isolated within the wrist-worn wearable computing device, wherein the data indicative of the arousal event comprises, at least, electrodermal activity (EDA) data captured when the user places one or more fingers on the second electrode on the top surface of the wrist-worn wearable computing device, the 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;
comparing the EDA data to a threshold; and
displaying, via a display screen of the wearable computing device, a notification to the user identifying the arousal event based on the comparison.
2. The method of claim 1 , wherein the arousal event is caused by a sympathetic nervous system response of the user.
3. The method of claim 2 , wherein the notification comprises a recommendation for the user as to how to lower the sympathetic nervous system response.
4. The method of claim 1 , wherein the data indicative of the arousal event comprises electrocardiography (ECG) data captured using the plurality of sensors, the plurality of sensors comprising at least one ECG sensor.
5. The method of claim 1 , further comprising transforming the data indicative of the arousal event.
6. The method of claim 5 , wherein transforming the data indicative of the arousal event comprises at least one of computing a derivative of the data, averaging the data over a plurality of bins, normalizing the data, or filtering the data.
7. 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.
8. A wrist-worn wearable computing device, comprising:
a housing;
a display screen on the housing;
a plurality of sensors, the plurality of sensors comprising a first electrode on a bottom face of the housing positioned to contact a wrist of a user and a second electrode on a top surface of the wrist-worn wearable computing device, the first and second electrodes being electrically isolated within the housing, the second electrode comprising at least one EDA sensor that measures a skin conductance response to sweat or moisture on skin of the user;
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, data indicative of an arousal event, wherein the data indicative of the arousal event comprises electrodermal activity (EDA) data captured from finger contact on the second electrode;
compare the EDA data to a threshold; and
display, via the display screen, a notification to the user identifying the arousal event based on the comparison.
9. The wrist-worn wearable computing device of claim 8 , wherein the arousal event is caused by a sympathetic nervous system response of the user, and wherein the notification comprises a recommendation for the user as to how to lower the sympathetic nervous system response.
10. The wrist-worn wearable computing device of claim 8 , wherein the plurality of sensors further comprise one or more electrocardiography (ECG) sensors, wherein the data indicative of the arousal event comprises the EDA data and ECG data from the one or more ECG sensors.
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. 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 wearable computing device, data indicative of an arousal event, the plurality of sensors comprising a first electrode on a bottom face of the wrist-worn wearable computing device and a second electrode on a top surface of the wrist-worn wearable computing device, the first and second electrodes being electrically isolated within the wrist-worn wearable computing device, wherein the data indicative of the arousal event comprises, at least, electrodermal activity (EDA) data captured by the second electrode on the top surface of the wrist-worn wearable computing device, the second electrode comprising at least one EDA sensor that measures, at least, a skin conductance response to sweat or moisture;
compare the EDA data to a threshold; and
display, via the display screen, a notification to a user identifying the arousal event based on the comparison.
15. The non-transitory computer-readable storage medium of claim 14 , wherein the plurality of sensors further comprise one or more electrocardiography (ECG) sensors, wherein the data indicative of the arousal event comprises the EDA data and ECG data from the one or more ECG sensors.
16. The non-transitory computer-readable storage medium of claim 14 , 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.