Zhi Qin Li, 541349 Centre Pkwy APT 2310, Lexington, KY 40517

8438604, May 7, 2013

May 8, 2007

11/800967

Jerald R. Howcroft - Beverly Hills MI, US
Zhi Li - San Ramon CA, US
Christine E. Bouamalay - Oakland CA, US
Jeffrey Multach - San Antonio TX, US

AT&T Intellectual Property I, LP - Atlanta GA

H04N 7/173

725107, 725 37, 725105, 725151

A method of indicating quality of service includes determining values of a plurality of video quality parameters at a set-top box device. The method also includes selecting a color from a plurality of colors based on at least one of the values. The method also includes activating a video quality indicator, wherein the video quality indicator includes the selected color.

2008028, Nov 20, 2008

May 18, 2007

11/804573

Jerald Robert Howcroft - Beverly Hills MI, US
Zhi Li - San Ramon CA, US
John McClenny - San Antonio TX, US

AT&T Knowledge Ventures, LP - Reno NV

H04N 7/173
G06F 3/00
H04N 5/445

725 37, 715716, 725105, 725131

A method of indicating video content quality is disclosed that includes receiving performance data at a video content quality server from a set-top box device. The performance data may include values of a plurality of video content quality parameters. The method also includes generating a graphical user interface indicating a quality of video content received at the set-top box device. The graphical user interface may include the values of each of the plurality of video content quality parameters. Further, the method includes sending data corresponding to the graphical user interface from the video content quality server to the set-top box device. The method may include the video content quality server receiving a request from the set-top box device to send the data corresponding to the graphical user interface.

2020034, Nov 5, 2020

Jul 22, 2020

16/936011

- PLANO TX, US
- Ann Arbor MI, US
ZHI LI - Ann Arbor MI, US
JONATHAN GRYAK - Ann Arbor MI, US
PUJITHA GUNARATNE - Ann Arbor MI, US

A61B 5/00
A61B 5/0456

Systems and methods for predicting and/or detecting cardiac events based on real-time biomedical signals are discussed herein. In various embodiments, a machine learning algorithm may be utilized to predict and/or detect one or more medical conditions based on obtained biomedical signals. For example, the systems and methods described herein may utilize ECG signals to predict and detect cardiac events. In various embodiments, patterns identified within a signal may be assigned letters (i.e., encoded as distributions of letters). Based on the known morphology of a signal, states within the signal may be identified based on the distribution of letters in the signal. When applied in the in-vehicle environment, drivers or passengers within the vehicle may be alerted when an individual within the vehicle is, or is about to, experience a cardiac event.

2020002, Jan 23, 2020

Sep 20, 2019

16/577380

- Plano TX, US
- Ann Arbor MI, US
Zhi Li - Ann Arbor MI, US
Jonathan Gryak - Ann Arbor MI, US
Pujitha Gunaratne - Ann Arbor MI, US

A61B 5/00
A61B 5/0456

Systems and methods for predicting and/or detecting cardiac events based on real-time biomedical signals are discussed herein. In various embodiments, a machine learning algorithm may be utilized to predict and/or detect one or more medical conditions based on obtained biomedical signals. For example, the systems and methods described herein may utilize ECG signals to predict and detect cardiac events. In various embodiments, patterns identified within a signal may be assigned letters (i.e., encoded as distributions of letters). Based on the known morphology of a signal, states within the signal may be identified based on the distribution of letters in the signal. When applied in the in-vehicle environment, drivers or passengers within the vehicle may be alerted when an individual within the vehicle is, or is about to, experience a cardiac event.