Enhanced Multi-Sensor Radio Frequency Detection for Physiology Motion Sensing

This inventive concept presents a system and method for enhanced radio frequency physiological motion sensing, particularly in multi-sensor locations, by introducing synchronization and interference reduction mechanisms to improve detection accuracy and reliability.

The original patent for multi-sensor radio frequency detection faces limitations in close proximity with similar sensors, leading to interference and reduced accuracy. This inventive concept addresses these limitations by introducing novel synchronization and interference reduction mechanisms, enabling more accurate and reliable detection of physiology motion characteristics.

The inventive concept comprises a system with multiple radio frequency physiological motion sensing apparatuses, each configured for operation in a multi-sensor location. A synchronization module ensures time-interleaved emission of radio frequency signals, reducing interference between apparatuses. The apparatuses can employ pulse width modulation (PWM) schemes to minimize interference. A central controller can synchronize signals and process received reflected signals to derive physiology motion characteristics. Additionally, a noise cancellation module can be integrated to reduce electromagnetic interference from other radio frequency sources.

The new claims introduce novel synchronization and interference reduction mechanisms, which are not present in the original patent. These innovations enable improved detection accuracy and reliability in multi-sensor locations, providing a non-obvious solution to the limitations of the original patent.

Alternative embodiments may include varying the synchronization mechanism, using different PWM schemes, or integrating additional noise reduction techniques. Variations may also include adapting the system for use in different environments or with different types of sensors.

This inventive concept has significant commercial potential in the healthcare industry, particularly in sleep disorder diagnosis and monitoring. The improved accuracy and reliability of the system can lead to more effective patient care and better health outcomes. Additionally, the technology can be applied to other industries, such as sports and fitness, where accurate motion sensing is essential.