18332389. SENSOR ALIGNMENT FOR A NON-CONTACT PATIENT MONITORING SYSTEM simplified abstract (Covidien LP)
Contents
SENSOR ALIGNMENT FOR A NON-CONTACT PATIENT MONITORING SYSTEM
Organization Name
Inventor(s)
Dean Montgomery of Edinburgh (GB)
Paul S. Addison of Edinburgh (GB)
SENSOR ALIGNMENT FOR A NON-CONTACT PATIENT MONITORING SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18332389 titled 'SENSOR ALIGNMENT FOR A NON-CONTACT PATIENT MONITORING SYSTEM
The disclosed technology involves qualifying sensor alignment relative to a patient's respiratory region by analyzing sensor data and generating an aggregate alignment metric to detect misalignment conditions and provide notifications.
- Determines respiratory region of the patient
- Detects sensor data including distances between sensor position and respiratory region
- Generates aggregate alignment metric based on detected sensor data
- Identifies misalignment conditions
- Classifies characteristics of misalignment
- Generates instructions for misalignment notifications
- Potential Applications:**
- Medical devices for monitoring respiratory functions - Sleep apnea detection systems - Patient monitoring in healthcare settings
- Problems Solved:**
- Ensures accurate sensor alignment for precise data collection - Improves patient comfort and safety during monitoring - Enhances the effectiveness of respiratory monitoring devices
- Benefits:**
- Early detection of misalignment issues - Improved data accuracy for medical diagnosis - Enhanced patient care and monitoring experience
- Commercial Applications:**
Title: Advanced Respiratory Sensor Alignment Technology for Healthcare Monitoring This technology can be utilized in: - Hospitals and clinics for patient monitoring - Home healthcare devices for remote monitoring - Sleep clinics for sleep disorder diagnosis
- Questions about Respiratory Sensor Alignment Technology:**
1. How does this technology improve patient care in healthcare settings?
- This technology ensures accurate sensor alignment for precise data collection, leading to better monitoring and diagnosis of respiratory conditions.
2. What are the potential applications of this technology beyond healthcare?
- This technology can also be used in sports science for monitoring athletes' respiratory functions during training and performance evaluation.
Original Abstract Submitted
The disclosed technology qualifies sensor alignment relative to a patient environment by determining a respiratory region of the patient, detecting, by the sensor, sensor data including a plurality of distances between a position of the sensor and the respiratory region, generating, based at least in part on the detected sensor data, an aggregate alignment metric, determining that the aggregate alignment metric satisfies a misalignment condition, classifying a characteristic of misalignment of the sensor relative to the determined respiratory region at least partially based on the satisfaction of the misalignment condition, and generating an instruction to provide a misalignment notification based at least partially on the classified characteristic of misalignment.
