Abstract: The controller includes a differentiating engine configured to receive an input signal value (ISV), wherein the ISV corresponds to state information for one selected from a group consisting of a controlled process and a user interface. The differentiating engine is further configured to determine an error between the ISV and an estimated input signal (EIS), estimate a frequency of the IS, select a plurality of pre-determined gains using the frequency, wherein at least one plurality of pre-determined gains is a suction control gain, determine a first estimated derivative of the input signal (EDIS) using the plurality of pre-determined gains and the error, and to output the first EDIS.

Abstract: The controller includes a differentiating engine configured to receive an input signal value (ISV), wherein the ISV corresponds to state information for one selected from a group consisting of a controlled process and a user interface. The differentiating engine is further configured to determine an error between the ISV and an estimated input signal (EIS), estimate a frequency of the IS, select a plurality of pre-determined gains using the frequency, wherein at least one plurality of pre-determined gains is a suction control gain, determine a first estimated derivative of the input signal (EDIS) using the plurality of pre-determined gains and the error, and to output the first EDIS.

Abstract: The present disclosure relates to a system for collecting gait analysis data for analysis. The system may utilize force plate or balance boards as well as strain gauge force measurements to improve physical therapy and gait analysis for patients that use physical supports to walk or stand. The device measures force applied to the floor and to handrails to provide data on the patient's use of aid, e.g., the handrail, while standing or walking For physical therapy implementations, the system may also be combined with a game or other visual interface that provides feedback to the patient and/or to the caregiver.

Abstract: An electronic pegboard setup is provided for assessing patient dexterity. In certain embodiments, the pegboard setup may be wireless and may employ pegs equipped with sensors that that allow tracking of the motion of the peg in three-dimensions and over time. In one such embodiment, a visual output of the motion path may be provided to the clinician. In such an embodiment, the device may provide quantitative data regarding motion path to assess patient dexterity.