Real-Time Brain Blood Flow Monitoring to Prevent Dizziness and Falls
This patent describes methods and devices for constantly checking blood flow to the brain to help stop people from getting dizzy, fainting, or falling.
Patent Number
US 12733882
Status
Active
Filing Date
September 10, 2021
Grant Date
September 15, 2026
Expiration
~September 2041 (estimated)
Claims
0
Assignee
—
Inventors
—
Citations
0 forward · 0 backward
What it covers
The patent provides ways to continuously monitor how much blood is flowing to a person's brain. The goal is to detect when this blood flow becomes poor, or 'insufficient,' in real-time. By catching these changes as they happen, the system aims to give an early warning or trigger an intervention. This proactive approach is designed to prevent adverse events like dizziness, fainting, and falls before they occur. For example, a wearable device could measure brain blood flow and alert a user if it drops too low, allowing them to sit down before feeling dizzy.
What it doesn't cover
- —Does not cover monitoring blood flow in other parts of the body, such as the heart or limbs.
- —Does not cover systems that only detect dizziness or falls *after* they have already started or occurred.
- —Does not cover general health monitoring devices that do not specifically track cerebral blood flow.
- —Does not cover methods for treating poor cerebral blood flow, only for detecting and preventing related symptoms.
- —Does not cover systems that predict falls based on gait analysis or balance issues without monitoring brain blood flow.
The clever bit
The innovation lies in the real-time, continuous monitoring of *cerebral* blood flow specifically for *preventing* dizziness, fainting, and falls. Most existing solutions react to symptoms or falls, but this patent focuses on predicting and averting them by tracking a critical physiological precursor.
Why it matters
Dizziness, fainting, and falls are significant health concerns, especially for older adults, often leading to serious injuries and reduced quality of life. This technology aims to provide a proactive solution by identifying physiological changes before symptoms manifest. By enabling real-time detection, it could help individuals and caregivers intervene, potentially reducing hospitalizations and improving personal safety.
Real-world examples
- 1.Wearable sensors for elderly care
- 2.Smart patches for continuous health monitoring
- 3.Integrated systems in medical alert devices
- 4.Devices for athletes to monitor physiological stress
- 5.Personal health monitoring apps connected to sensors
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US 12733882 · 2026