Wearable biosensor devices with adaptive power consumption
Inventors
Nicholson, Charles • He, David • Schiffer, Brian
Assignees
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Abstract
One disclosed example method includes receiving sensor data from a biosensor; determining an event using a first analysis based on the sensor data, the first analysis having a first power cost; determining to perform a second analysis based on the event; in response to determining to perform the second analysis, performing the second analysis based on the sensor data, the second analysis having a second power cost greater than the first power cost; and wirelessly transmitting results of the second analysis to a remote device.
Core Innovation
Wearable hermetically sealed biosensor devices adaptively manage power consumption by running a low-cost, low-power first analysis continuously using sensor data from a biosensor to determine an event. Based on the event, the device determines whether to perform a higher-power, higher-complexity second analysis, and the second analysis is performed in response to that determination using second sensor data received from the biosensor.
The devices wirelessly transmit results of the second analysis to a remote device, with the document describing activation of the radio in relation to urgency and thresholds. The radio subsystem can be activated only when results are sufficiently urgent, and the radio can be deactivated after transmission.
System-level components described include a biosensor, a processor, memory, a radio subsystem, and an analysis control component that coordinates first analysis, event determination, conditional second analysis, and conditional wireless transmission. The disclosed examples include monitoring a pulse using optical photoplethysmography where sampling fidelity and/or biosensor operating mode can be escalated for the second analysis based on an event or threshold, such as arrhythmia detection.
Claims Coverage
The independent claims cover a conditional two-stage biosensor analysis workflow that escalates from a first analysis with lower computational complexity and lower power cost to a second analysis with higher computational complexity and higher power cost only in response to an event, and then wirelessly transmits second-analysis results to a remote device. Across the independent claim set, there are three claim types: a method, a device, and a non-transitory computer-readable medium.
Event-determined conditional second analysis escalation and wireless transmission
receiving sensor data from a biosensor; determining an event using a first analysis based on the sensor data, the first analysis having a first computational complexity and a first power cost; determining to perform a second analysis based on the event; in response to determining to perform the second analysis, performing the second analysis based on second sensor data received from the biosensor, the second analysis having a second computational complexity greater than the first computational complexity and having a second power cost greater than the first power cost; and wirelessly transmitting results of the second analysis to a remote device.
Device implementing event-determined conditional second analysis escalation and wireless transmission
a biosensor; a radio subsystem; a non-transitory computer-readable medium; and a processor communicatively coupled to the biosensor, the radio subsystem, and the non-transitory computer-readable medium, the processor configured to execute processor-executable instructions stored in the non-transitory computer-readable medium to receive first sensor data from a biosensor; determine an event using a first analysis based on the sensor data, the first analysis having a first computational complexity and a first power cost; determine to perform a second analysis based on the event; in response to a determination to perform the second analysis, perform the second analysis based on second sensor data received from the biosensor, the second analysis having a second computational complexity greater than the first computational complexity and having a second power cost greater than the first power cost; and wirelessly transmit, using the radio subsystem, results of the second analysis to a remote device.
Non-transitory medium to cause event-determined conditional second analysis escalation and wireless transmission
a non-transitory computer-readable medium comprising processor executable instructions configured to cause a processor to receive first sensor data from a biosensor; determine an event using a first analysis based on the first sensor data, the first analysis having a first computational complexity and a first power cost; determine to perform a second analysis based on the event; in response to a determination to perform the second analysis, perform the second analysis based on second sensor data received from the biosensor, the second analysis having a second computational complexity greater than the first computational complexity and having a second power cost greater than the first power cost; and wirelessly transmit results of the second analysis to a remote device.
Across the independent claims, the inventive core is conditional escalation from a lower-complexity, lower-power first analysis to a higher-complexity, higher-power second analysis only when an event is determined, followed by wireless transmission of the second-analysis results to a remote device. The device and computer-readable medium claims implement this same event-driven escalation and transmission using a biosensor, processor, memory, and a radio subsystem.
Stated Advantages
Conserves battery by activating higher-power, higher-complexity second analysis only when an event or condition is detected and by activating radio transmission only when results are sufficiently urgent.
Reduces power cost by using a first analysis with a first computational complexity and a first power cost, and a second analysis only when determined based on the event.
Deactivates the radio after transmission to conserve battery.
Documented Applications
Wearable hermetically sealed biosensor devices, including examples using pulse monitoring based on optical photoplethysmography for event-driven escalation such as arrhythmia detection.
Wireless result transmission from the wearable biosensor device to a remote device, including descriptions of remote processing options using a smartphone and/or server/data store.
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