公开(公告)号：US20240369582A1

公开(公告)日：2024-11-07

申请号：US18557905

申请日：2022-05-20

Applicant: University of Washington

Inventor： Justin Chan ,  Shyamnath Gollakota ,  Kelly Michaelsen

IPC: G01N33/86 ,  B01L3/00

Abstract: Example systems may include an electronic device (e.g., a smartphone) and an attachment member that may couple the electronic device to a cup. The cup may be positioned within a field of view (e.g., within a focal length) of a camera that is coupled to or integral to the electronic device. The cup may receive a sample of whole blood and/or plasma. The attachment member may convey vibration from the electronic device to the cup. The cup may include a particle positioned in the cup. The camera may capture images of the cup including the particle, and motion of the particle may be used by the electronic device to calculate a clotting time of the sample. For example, the particle may move freely responsive to vibration during a time the sample is in a non-clotted state, but may slow and/or stop motion when the sample has clotted.

公开(公告)号：US20210186426A1

公开(公告)日：2021-06-24

申请号：US17274137

申请日：2019-09-06

Applicant: University of Washington ,  Seattle Children's Hospital (DBA Seattle Children's Research Institute)

Inventor： Sharat Raju ,  Shyamnath Gollakota ,  Justin Chan ,  Randall Bly ,  Rajalakshmi Nandakumar

IPC: A61B5/00 ,  H04M1/215 ,  H04M1/03 ,  H04R1/34 ,  G10L25/51 ,  H04R1/02 ,  H04R1/08 ,  G06N20/00

Abstract: Examples of systems and methods described herein may estimate a state of the ear canal of a patient utilizing a smart phone by characterizing acoustic waveforms reflected off the patient's eardrum. Examples may include an acoustic focusing apparatus that may be connected to a smart phone to provide acoustic signals to and receive reflected signals from an ear canal.

公开(公告)号：US20220008030A1

公开(公告)日：2022-01-13

申请号：US17297382

申请日：2019-12-20

Applicant: University of Washington

Inventor： Jacob Sunshine ,  Justin Chan ,  Shyamnath Gollakota

IPC: A61B7/00 ,  G06N3/08 ,  G06N3/04 ,  A61B5/00 ,  A61B5/08

Abstract: Examples of systems and methods described herein may classify agonal breathing in audio signals produced by a user using a trained neural network. Examples may include a smart device that may request medical assistance if an agonal breathing event is classified.