Systems and methods for adjusting position and/or orientation of a height adjustable desk are disclosed. The system receives data from one or more sensors, comprising sit and stand periods associated with a user of the height adjustable desk. The system further calculates a physical condition profile for the user, based on a pre-configured set of rules obtained by a network-connected health application. The physical condition profile is based on the sit and stand periods associated with the user. Further, the system creates a sit and stand schedule for the user based on the calculated physical condition profile and transmits a signal to an electric motor connected with the height adjustable desk, to adjust the height of height adjustable desk according to the sit and stand schedule.

Systems and methods for proactive workspace management are disclosed. The system receives calendar information from external calendar services comprising scheduled events and event types and analyzes the scheduled events to determine optimal workspace configurations for different activity types. The system receives real-time physiological data from multiple health sensors including glucose meters, body mass indicators, power meters, and oxygen meters. A dynamic physical condition profile is computed based on the real-time physiological data and historical user metrics. The system automatically generates proactive workspace adjustment commands based on calendar information and the dynamic physical condition profile and transmits control signals to electric motors associated with height-adjustable desks to implement workspace adjustments prior to scheduled events. Additional features include continuous posture monitoring through weight distribution analysis, ultrasonic height detection, user profile management, IoT exercise equipment integration, and real-time posture coaching notifications.

A method includes, based on respective signals acquired by a plurality of electrodes on an anatomical surface of a heart, computing respective local activation times (LATs) at respective locations of the electrodes. The method further includes, based on the LATs, computing respective directions of electrical propagation at the locations. The method further includes selecting pairs of adjacent ones of the electrodes such that, for each of the pairs, a vector joining the pair is aligned, to within a predefined threshold degree of alignment, with the direction of electrical propagation at the location of one of the electrodes belonging to the pair. The method further includes associating respective bipolar voltages measured by the pairs of electrodes with a digital model of the anatomical surface. Other examples are also described.

A lift system is designed for raising and lowering a load. The lift system can include a movable portion in sliding engagement with a fixed portion. The lift system can be configured to translate the load coupled to the movable portion relative to the fixed portion. The lift system can also include a counterbalance mechanism having an arm rotatably coupled to the fixed portion, and one or more springs coupled to the arm and the fixed portion. The arm can be operably coupled to the movable portion through a cord. As the movable portion translates, the arm can rotate to deflect the one or more springs to provide a lift force to offset the weight of the load.

The present disclosure relates to a workstation and a technique to automatically configure the workstation. The workstation can be used to perform various tasks including but not limited to medication delivery, collection of medical records, patient care, manufacturing operations, and others. The workstation can be configured by the user depending on the tasks to be performed using the workstation. Various sensors (e.g., hall effect sensors, optical sensors, or the like) can be coupled to the workstation, and sensor operators (e.g., magnets, color coded strips, or the like) can be coupled to the modules. By aligning sensor operators with sensors when modules are coupled to the workstation, a configuration (e.g., size, shape, location, or the like) of modules can be automatically detected by the workstation controller. The controller of the workstation can then adapt to perform certain tasks (e.g., lock/unlock drawers, or the like) depending on the detected configuration of modules.