Cloud-based sensor operation adapted to patient behavior
Systems, devices, and methods for remote monitoring and managing of patients with chronic pain are discussed. A remote monitoring system comprises one or more sensors to sense physiological or functional information from the patient, a cloud-computing device communicatively coupled to the one or more sensors, and a remote device. The cloud-computing device receives patient data including physiological or functional information, and provides on-demand cloud-based services including storing the received patient data in a cloud storage, detecting a patient behavior, and generating a sensor operation recommendation based on the detected patient behavior. The remote device can access the cloud storage and the cloud-based services, and adjust operations of the one or more sensors in accordance with the sensor operation recommendation.
1 . A system for remote monitoring of a patient with an implantable device for pain management, the system comprising:
one or more sensors configured to sense physiological or functional information from the patient;
a cloud-computing device communicatively coupled to the one or more sensors, the cloud-computing device configured to receive patient data including the sensed physiological or function information, and to provide cloud-based services including:
storing the received patient data in a cloud storage;
detecting a patient behavior including a physical activity level or a physical activity schedule using the received patient data; and
generating a sensor operation recommendation based on the detected patient behavior; and
a remote device configured to:
access the cloud storage and the cloud-based services via a communication network, and generate a sensor-usage trend indicative of a temporal pattern of a user's interaction with at least one of the one or more sensors, the sensor-usage trend further including a user's battery charging pattern representing a duration of a battery-powered device being charged by the user during a given period;
display concurrently, on a user interface, a graphical representation of a temporal relationship between the sensor-usage trend over a time period and a trend of the physical activity level or the physical activity schedule over the same time period, and the sensor operation recommendation; and
automatically adjust operations of the one or more sensors, including transitioning the one or more sensors between different operational states with respect to data acquisition, in accordance with the sensor operation recommendation.
2 . The system of claim 1 , wherein the cloud-based services further include predicting a pain level using the received patient data, and the remote device is configured to generate a control signal to the implantable device to initiate or adjust a neuromodulation therapy for pain management in accordance with the predicted pain.
3 . The system of claim 1 , wherein the cloud-computing device is configured to:
detect the patient behavior including detecting a sleep state or receiving a sleep schedule from the patient; and
generate the sensor operation recommendation based on the sleep state or the sleep schedule.
4 . The system of claim 1 , wherein the one or more sensors are powered by a rechargeable battery in the implantable device or in a mobile device, and
wherein the cloud-computing device is configured to generate the sensor operation recommendation including a recommendation to charge the rechargeable battery based on the detected patient behavior.
5 . The system of claim 4 , wherein the cloud-computing device is configured to generate the recommendation to charge the rechargeable battery further based on a battery level of the rechargeable battery.
6 . The system of claim 4 , wherein the cloud-computing device is further configured to generate the recommendation to charge the rechargeable battery further based on the sensor-usage trend.
7 . The system of claim 1 , wherein the cloud-computing device is configured to generate the sensor operation recommendation including a recommendation to activate or deactivate the one or more sensors based on the detected patient behavior.
8 . The system of claim 1 , wherein the cloud-computing device is configured to generate the sensor operation recommendation including a recommendation to adjust a data acquisition schedule or a data sampling rate for the one or more sensors based on the detected patient behavior.
9 . The system of claim 1 , wherein the cloud-computing device is further configured to:
detect a sensor anomaly using the sensed physiological or function information, the sensor anomaly indicating a misplacement of the one or more sensors on the patient; and
provide an indication of the detected sensor anomaly to the patient or a user.
10 . The system of claim 1 , wherein the remote device includes a mobile device configured to communicate with the implantable device, the mobile device operable by the patient and configured to collect the patient data including one or more of neuromodulation therapy data for pain management; patient reported outcome (PRO) provided by the patient; or physiological or functional data from the patient.
11 . A method for remote monitoring of a patient with an implantable device for pain management via a cloud-based system comprising a cloud-computing device, the method comprising:
via the cloud-computing device, receiving patient data including physiological or function information sensed by one or more sensors included in the implantable device or in one or more external devices, and providing cloud-based services including:
storing the received patient data in a cloud storage;
detecting a patient behavior including a physical activity level or a physical activity schedule using the received patient data; and
generating a sensor operation recommendation based on the detected patient behavior; and
via a remote device communicatively coupled to the cloud-computing device:
accessing the cloud storage and the cloud-based services;
generating a sensor-usage trend indicative of a temporal pattern of a user's interaction with at least one of the one or more sensors, the sensor-usage trend further including a user's battery charging pattern representing a duration of a battery-powered device being charged by the user during a given period;
displaying concurrently, on a user interface, a graphical representation of a temporal relationship between the sensor-usage trend over a time period and a trend of the physical activity level or the physical activity schedule over the same time period, and the sensor operation recommendation; and
automatically adjusting operations of the one or more sensors, including transitioning the one or more sensors between different operational states with respect to data acquisition, in accordance with the sensor operation recommendation.
12 . The method of claim 11 , further comprising:
predicting a pain level using the received patient data; and
initiating or adjusting a neuromodulation therapy in accordance with the predicted pain level.
13 . The method of claim 11 , wherein the patient data include one or more of:
physiological or functional data collected by one or more sensors;
neuromodulation therapy data collected by the implantable device; or
patient reported outcome (PRO) collected by a mobile device.
14 . The method of claim 11 , wherein:
detecting the patient behavior includes detecting a sleep state or receiving a sleep schedule from the patient; and
generating the sensor operation recommendation is based on the sleep state or the sleep schedule.
15 . The method of claim 11 , wherein generating the sensor operation recommendation includes generating a recommendation to charge a rechargeable battery powering the one or more sensors based on one or more of the detected patient behavior, a battery level of the rechargeable battery, or the generated sensor-usage trend.
16 . The method of claim 11 , wherein generating the sensor operation recommendation includes one or more of recommendations of, based on the detected patient behavior:
activating or deactivating the one or more sensors;
adjusting a data acquisition schedule for the one or more sensors; or
adjusting a data sampling rate for the one or more sensors.
17 . The method of claim 11 , comprising:
detecting a sensor anomaly using the sensed physiological or function information, the sensor anomaly indicating a misplacement of the one or more sensors on the patient; and
providing an indication of the detected sensor anomaly to the patient or a user.
18 . The method of claim 17 , wherein:
detecting the sensor anomaly includes detecting an improper wearing of a wearable electronic device on the patient; and
generating the sensor operation recommendation includes a recommendation to adjust the wearing of the wearable electronic device.
19 . The system of claim 4 , wherein the sensor-usage trend concurrently displayed on the user interface includes at least one of a battery status trend or a battery charging pattern associated with the rechargeable battery powering the one or more sensors.
20 . The method of claim 15 , wherein the sensor-usage trend concurrently displayed on the user interface includes at least one of a battery status trend or a battery charging pattern associated with the rechargeable battery powering the one or more sensors.