Optum Technology, Inc.

Sree Harsha Ankem

V Kishore Ayyadevara

Gregory J Boss

Ninad D Sathaye

Aditya Madhuranthakam

Shyam Charan Mallena

Vineet Shukla

Raghav Bali

Rohan Khilnani

Ranraj Rana Singh

Saikumar Chintareddy

Apparatuses, systems, and methods for more accurate remote monitoring of a user's body to stabilize the user during fall events and to thereby prevent the user from falling. In some embodiments, a wearable device comprising a power source, one or more sensors configured to monitor a user's COG (COG), at least one plurality of electrodes, a communications interface and a control device is provided. The wearable device is configured to apply electrical pulses according to defined electrical pulse stimulation protocols via the electrodes to target muscle groups of the user's body, causing those target muscle groups to contract and thereby stabilize the user's body during a fall event.

Systems, apparatuses and methods for stabilizing a user's body during detected fall events

There is a need for more effective and efficient prediction data analysis. This need can be addressed by, for example, solutions for performing first-occurrence multi-disease prediction. In one example, a method includes determining a per-event-type loss value for each event type of a group of event types; determining a cross-event-type loss value based at least in part on each per-event-type loss value; training a multi-event-type prediction model based at least in part on the cross-event type loss value; generating a first-occurrence prediction based at least in part on the multi-event-type prediction model, wherein the first occurrence-prediction comprises a first-occurrence prediction item for each event type of the group of event types; and performing one or more prediction-based actions based at least in part on the first-occurrence prediction.

Weighted adaptive filtering based loss function to predict the first occurrence of multiple events in a single shot

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Hyderabad Telangana, India

Sree Harsha Ankem