JP-2022533382-A5 -

Dates

Publication Date

20230530

Application Date

20200521

Description

While the above detailed description has shown, described, and pointed out novel features applicable to various embodiments, it will be understood that various omissions, substitutions, and modifications can be made to the form and details of the illustrated devices or algorithms without departing from the spirit of this disclosure. As recognized, certain embodiments described herein may be embodied in forms that do not provide all of the features and benefits described herein, since some features can be used or practiced separately from others. [Additional note 1] A system for collecting and processing sensor data to identify the risk of affecting or causing skin injury, wherein the system comprises computer-readable memory and one or more processors, Acquiring sensor feature data comprising a first set of feature data and a second set of feature data, wherein the first set of feature data represents the output of a user sensor configured to be worn on the user's limbs, and the second set of feature data represents the output of a load reduction device sensor coupled to a load reduction device configured to be worn on the limbs. Determining an activity classification using the first set of feature data and an activity classification model, The activity classification model is configured to determine the extent to which the first set of feature data corresponds to each of several different activity classifications. The method involves determining the load reduction usage classification using the first set of feature data, the second set of feature data, and the load reduction usage model, The load reduction usage model is configured to determine the extent to which the movement of the user sensor corresponds to the movement of the load reduction device sensor. To generate display data representing at least one of the activity classification or the load reduction usage classification, A system configured to transmit the display data to a computing device configured to present the display data. [Additional note 2] The system according to Appendix 1, wherein the skin injury includes diabetic foot ulcers or venous lower extremity ulcers. [Additional note 3] The system according to appendix 1 or 2, wherein the user sensor comprises a first accelerometer and a first magnetometer, and the load reduction device sensor comprises a second accelerometer and a second magnetometer, and the sensor feature data represents the outputs from the first accelerometer, the second accelerometer, the first magnetometer, and the second magnetometer. [Additional note 4] Determining a subsequent activity classification using a third set of feature data and the activity classification model, wherein the third set of feature data represents the output of the user sensor. The system according to any one of the appendices 1 to 3, further configured to determine that a change in the user's activity has occurred based on the activity classification and the subsequent activity classification. [Additional note 5] The process involves determining a subsequent load reduction usage classification using a third set of feature data, a fourth set of feature data, and a load reduction usage model. It is determined that the third set of feature data represents the output of the user sensor, and the fourth set of feature data represents the output of the load reduction device sensor. The system according to any one of the appendices 1 to 4, further configured to determine that a change in the usage status of the load reduction device by the user has occurred, based on the load reduction usage status classification and the subsequent load reduction usage status classification. [Additional note 6] Using the first set of feature data, activity model input data is generated. Using the aforementioned activity model input data and the aforementioned activity classification model, activity classification model output data is generated. The system according to any one of the appendices 1 to 5, further configured to determine the activity classification by identifying data elements having values that satisfy classification criteria from the activity classification model output data, wherein the activity classification is associated with the data elements. [Additional note 7] The system described in any one of the appendices 1 to 6, wherein the aforementioned multiple different activity classifications include motion classifications, motionless classifications with static weight, motionless classifications with force fluctuations, and lying-down classifications. [Additional Note 8] The system according to any one of the appendices 1 to 7, wherein the load reduction usage model is configured to determine the extent to which the movement and orientation of the user sensor corresponds to the movement and orientation of the load reduction device sensor. [Additional Note 9] The system described in any one of the appendices 1 to 8, wherein the activity classificati