US 12,402,809 B2
Detecting frailty and foot at risk using lower extremity motor performance screening
Bijan Najafi, Houston, TX (US); Hadi Rahemi, Houston, TX (US); Hyoki Lee, Houston, TX (US); and Hung Nguyen, Houston, TX (US)
Assigned to Baylor College of Medicine, Houston, TX (US)
Appl. No. 17/052,611
Filed by Baylor College of Medicine, Houston, TX (US)
PCT Filed May 2, 2019, PCT No. PCT/US2019/030405
§ 371(c)(1), (2) Date Nov. 3, 2020,
PCT Pub. No. WO2019/213399, PCT Pub. Date Nov. 7, 2019.
Claims priority of provisional application 62/670,715, filed on May 11, 2018.
Claims priority of provisional application 62/667,403, filed on May 4, 2018.
Prior Publication US 2021/0236021 A1, Aug. 5, 2021
Int. Cl. A61B 5/11 (2006.01); A61B 5/00 (2006.01); G06N 3/00 (2023.01); G06N 3/008 (2023.01); G06N 3/04 (2023.01); G16H 40/67 (2018.01); G16H 50/30 (2018.01)
CPC A61B 5/112 (2013.01) [A61B 5/0004 (2013.01); A61B 5/6807 (2013.01); A61B 5/7267 (2013.01); A61B 5/7275 (2013.01); G06N 3/008 (2013.01); G06N 3/04 (2013.01); G16H 40/67 (2018.01); G16H 50/30 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving, wirelessly over a network by a processor from one or more sensors of a first sensing device worn on a first lower extremity of a user and from one or more sensors of a second sensing device worn on a second lower extremity of the user, motion data regarding motion of the first lower extremity and the second lower extremity over a period of time, wherein:
the first sensing device is one of: (i) integrated into a first article of clothing worn on a first leg, ankle, or foot of the first lower extremity, (ii) attached directly to a skin of the first leg, ankle, or foot of the first lower extremity via adhesive or a strap, or (iii) implanted in the first leg, ankle, or foot of the first lower extremity;
quantifying, by the processor, a propulsion phase of a gait cycle of the lower extremity based, at least in part, on the received motion data to obtain propulsion phase characteristics of the lower extremity over the period of time;
calculating, by the processor, one or more gait characteristics based, at least in part on, the propulsion phase characteristics, the one or more gait characteristics including a propulsion efficiency of the user during the propulsion phase;
determining, by the processor, a risk level of the first or second lower extremity for one or more medical conditions based, at least in part, on:
a ratio of the propulsion efficiency to a maximum pressure of a forefoot of the first or second lower extremity during the propulsion phase, or
a ratio of the propulsion efficiency to a time integral of a pressure of the forefoot during the propulsion phase; and
providing, by the processor, one or more treatment options to reduce the risk level.