SYSTEM AND METHOD FOR MENTAL HEALTH DISORDER DETECTION SYSTEM BASED ON WEARABLE SENSORS AND ARTIFICIAL NEURAL NETWORKS
Number of patents in Portfolio can not be more than 2000
United States of America
Stats
-
N/A
Issued Date -
Mar 6, 2025
app pub date -
Feb 1, 2022
filing date -
Feb 1, 2022
priority date (Note) -
Published
status (Latency Note)
Importance
Abstract
According to various embodiments, a machine-learning based system for mental health disorder identification and monitoring is disclosed. The system includes one or more processors configured to interact with a plurality of wearable medical sensors (WMSs). The processors are configured to receive physiological data from the WMSs. The processors are further configured to train at least one neural network based on raw physiological data augmented with synthetic data and subjected to a grow-and-prune paradigm to generate at least one mental health disorder inference model. The processors are also configured to output a mental health disorder-based decision by inputting the received physiological data into the generated mental health disorder inference model.
First Claim
Family
International Classification(s)
- No Non-US Classification to display
Cited Art Landscape
Patent Citation Ranking
- Citation Ranking not provided
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully