Automatic change in condition monitoring by passive sensor monitoring and machine learning

US11599830B1 · kind B1 · utility

Inventors

• Geoffrey Nudd · San Francisco, US
• David Cristman · Walnut Creek, US
• Jonathan J. Hull · Redwood City, US

Key dates

• Filing date: Apr 30, 2020
• Grant date: Mar 7, 2023
• Expiry date: Dec 19, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H40/63
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

A machine learning system passively monitors sensor data from the living space of a patient. The sensor data may include audio data. Audio features are generated. A trained machine learning model is used to detect a change in condition. In some implementations, the machine learning model is trained in a learning phase based on training data that includes questionnaires completed by caregivers and identified audio features.