Rui X Wang

US Patent:

20200376183, Dec 3, 2020

Filed:

Jun 1, 2020

Appl. No.:

16/889457

Inventors:

- Danvers MA, US
- Boston MA, US
Elise Jortberg - Danvers MA, US
Rose Yu - Boston MA, US
Rui Wang - Boston MA, US

International Classification:

A61M 1/10
A61M 5/172
G16H 20/40
G06N 20/00

Abstract:

Aspects of the present disclosure describe systems and methods for predicting an intra-aortic pressure of a patient receiving hemodynamic support from a transvalvular micro-axial heart pump. In some implementations, an intra-aortic pressure time series is derived from measurements of a pressure sensor of the transvalvular micro-axial heart pump and a motor speed time series is derived from a measured back electromotive force of a motor of the transvalvular micro-axial heart pump. Furthermore, in some implementations, machine learning algorithms, such as deep learning, are applied to the intra-aortic pressure and motor speed time series to accurately predict an intra-aortic pressure of the patient. In some implementations, the prediction is short-term (e.g., approximately 5 minutes in advance).

US Patent:

20200222607, Jul 16, 2020

Filed:

Jan 15, 2020

Appl. No.:

16/743797

Inventors:

- Danvers MA, US
Qing Tan - Danvers MA, US
Erik Kroeker - Danvers MA, US
Rui Wang - Danvers MA, US

International Classification:

A61M 1/10
A61B 5/02
A61B 5/029
A61B 5/0215
A61B 5/00
G16H 50/50

Abstract:

Methods and systems are disclosed for creating and using a neural network model to estimate a cardiac parameter of a patient, and using the estimated parameter in providing blood pump support to improve patient cardiac performance and heart health. Particular adaptations include adjusting blood pump parameters and determining whether and how to increase or decrease support, or wean the patient from the blood pump altogether. The model is created based on neural network processing of data from a first patient set and includes measured hemodynamic and pump parameters compared to a cardiac parameter measured in situ, for example the left ventricular volume measured by millar (in animals) or inca (in human) catheter. After development of a model based on the first set of patients, the model is applied to a patient in a second set to estimate the cardiac parameter without use of an additional catheter or direct measurement.

US Patent:

20160259742, Sep 8, 2016

Filed:

Mar 4, 2015

Appl. No.:

14/638220

Inventors:

- Sunnyvale CA, US
Joseph Weihs - Arlington MA, US
Rui Wang - Newton MA, US

Assignee:

NETAPP, INC. - Sunnyvale CA

International Classification:

G06F 13/36
G06F 13/42

Abstract:

Methods and systems for monitoring quality of service (QOS) data for a plurality of storage volumes from a storage operating system of a storage system are provided. A performance manager collects QOS data for a storage volume from among the plurality of storage volumes and the QOS data includes a response time in which the storage volume responds to an input/output (I/O) request; determines that the collected QOS data is noisy by comparing an average number of I/O requests processed within a time duration for the storage volume with a first threshold value; uses comparable QOS data of another storage volume for generating an expected range for future QOS data; and monitors QOS data for the storage volume for determining whether a current QOS data for the storage volume is within the expected range.