Sleep apnea risk evaluation
In a technique for collecting and analyzing physiological signals to detect sleep apnea, a small light-weight physiological monitoring system, affixed to a patient's forehead, detects and records the pulse, oximetry, snoring sounds, and head position of a patient to detect a respiratory event, such as sleep apnea. The physiological monitoring system may contain several sensors including a pulse oximeter to detect oximetry and pulse rate, a microphone to detect snoring sounds, and a position sensor to detect head position. The physiological monitoring system also can contain a memory to store or record the signals monitored by the mentioned sensors and a power source. The physiological monitoring system may be held in place by a single elastic strap, thereby enabling a patient to use the system without the assistance of trained technicians.
1. In a system for evaluating a patient's risk of sleep apnea, the improvement comprising:
an expert computing system for comparing abnormal respiratory events of a patient with a sleep apnea risk database of sleep apnea risk data, comparing clinical information of the patient with said sleep apnea risk database, and generating a report of the patient's risk of sleep apnea, said abnormal respiratory events being based upon monitored physiological information from the patient, said monitored physiological information including pulse oximetry data from the patient, and said patient's clinical information being derived from a questionnaire identifying sleep apnea risk factors of the patient.
2. The system of claim 1 , further comprising a physiological monitoring system including a pulse oximetry sensor and circuitry that detects oxyhemoglobin saturation and pulse rate of the patient and produces corresponding pulse oximetry data signals.
3. The system of claim 2 , further comprising computing circuitry that receives said pulse oximetry data signals and identifies a respiratory event of the patient responsive to said pulse oximetry data signals.
4. The system of claim 2 , wherein said physiological monitoring system comprises means for removably affixing the physiological monitoring system to the patient's forehead.
5. The system of claim 2 , further comprising a patient head position and movement sensor that produces a head position and movement signal that indicates position and movement of the patient's head.
6. The system of claim 2 , further comprising means for producing a sound data signal that indicates detected sounds produced by said patient.
7. The system of claim 4 , wherein said means for removably affixing comprises an elastic strap and at least one foam pad mounted to said physiological monitoring system, said elastic strap and foam pad cooperating to apply a pressure of the pulse oximetry sensor against the patient's forehead.
8. The system of claim 1 , further comprising:
a continuous positive airway pressure device;
a physiological monitoring system including a pulse oximetry sensor integrated with said continuous positive airway pressure device, said pulse oximetry sensor generating pulse oximetry data signals; and
means for removably affixing the physiological monitoring system to the patient's forehead.
9. In a method for evaluating a patient's risk of sleep apnea, the improvement comprising:
providing an expert computing system;
said expert computing system comparing abnormal respiratory events of a patient with a sleep apnea risk database of sleep apnea risk data, said abnormal respiratory events being based upon monitored physiological information from the patient, said monitored physiological information including pulse oximetry data from the patient;
said expert computing system comparing clinical information of the patient with said sleep apnea risk database, said patient's clinical information being derived from a questionnaire identifying sleep apnea risk factors of the patient; and
said expert computing system generating a report of the patient's risk of sleep apnea.
10. The method of claim 9 , further comprising the step of detecting oxyhemoglobin saturation and pulse rate of the patient and producing corresponding pulse oximetry data signals.
11. The method of claim 10 , further comprising the steps of said expert computing system receiving said pulse oximetry data signals and said expert computing system identifying said respiratory events of the patient responsive to said pulse oximetry data.
12. The method of claim 9 , further comprising delivering a continuous positive airway pressure to the patient.
13. The method of claim 9 , further comprising sensing position and movement of the patient's head.
14. The method of claim 9 , further comprising detecting sounds produced by said patient.