US 12,127,851 B2
Systems and methods for augmented neurologic rehabilitation
Owen McCarthy, Gorham, ME (US); Brian Harris, Gray, ME (US); Alex Kalpaxis, Glendale, NY (US); Jeffrey Chu, Portland, ME (US); Brian Bousquet-Smith, Portland, ME (US); and Eric Richardson, Portland, ME (US)
Assigned to MEDRHYTHMS, INC., Portland, ME (US)
Filed by MedRhythms, Inc., Portland, ME (US)
Filed on Jul. 21, 2021, as Appl. No. 17/381,899.
Application 17/381,899 is a continuation in part of application No. 16/569,388, filed on Sep. 12, 2019, granted, now 11,779,274.
Application 16/569,388 is a continuation of application No. 15/488,201, filed on Apr. 14, 2017, granted, now 10,448,888, issued on Oct. 22, 2019.
Claims priority of provisional application 63/054,599, filed on Jul. 21, 2020.
Claims priority of provisional application 62/322,504, filed on Apr. 14, 2016.
Prior Publication US 2021/0345947 A1, Nov. 11, 2021
Int. Cl. A61B 5/11 (2006.01); A61B 5/00 (2006.01); G06T 7/50 (2017.01); G06T 15/20 (2011.01); G06T 19/20 (2011.01)
CPC A61B 5/486 (2013.01) [A61B 5/112 (2013.01); A61B 5/1124 (2013.01); A61B 5/4836 (2013.01); A61B 5/002 (2013.01); A61B 5/0077 (2013.01); A61B 5/1128 (2013.01); A61B 5/7264 (2013.01); A61B 5/7275 (2013.01); A61B 2562/0219 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A system for augmented neurologic rehabilitation of a patient, comprising:
a computing system having a processor configured by software modules comprising machine-readable instructions stored in a non-transitory storage medium,
wherein the software modules include:
an AA/AR modelling module that, when executed by the processor, configures the processor to generate an augmented-reality (AR) visual content and rhythmic auditory stimulus (RAS) for output to a patient during a therapy session, wherein the RAS comprises beat signals output at a beat tempo and wherein the AR visual content includes visual elements moving in a prescribed spatial and temporal sequence based on the beat tempo;
an input interface in communication with the processor for receiving real-time patient data including time-stamped biomechanical data of the patient relating to repetitive movements performed by the patient in time with the AR visual content and RAS, and wherein the biomechanical data is measured using a sensor associated with the patient; and
wherein the software modules further include:
a critical thinking algorithm (CTA) module that configures the processor to analyze the time-stamped biomechanical data to determine a temporal relationship of the patient's repetitive movements relative to the visual elements and beat signals output at the beat tempo to determine a level of entrainment; and
wherein the AA/AR modelling module further configures the processor to dynamically adjust the AR visual and RAS output to the patient in synchrony and based on the determined level of entrainment, wherein dynamically adjusting the AR visual content includes adjusting the prescribed spatial and temporal sequence of the visual elements based on the determined level of entrainment.