Home health and medical monitoring method and service
View Patent ↗A health monitoring method and system utilizes a bedside device to monitor breathing patterns and other health measuring signals and communicates these patterns and signals to a medical monitoring station. The medical monitoring service analyzes the signals for health conditions and determines when the signals indicate a medical response is required.
1. A method for providing a medical monitoring service, the method comprising:
receiving at a medical monitoring service location, first signals relayed out a communications port of a bedside home health monitoring unit, the first signals representing base pattern health indicating parameters of an existing diagnosed health condition;
receiving at a medical monitoring service location, real time signals representing real time health indicating parameters, the real time signals relayed out the communications port of the bedside home health monitoring unit; and
comparing the real time signals to the first signals to determine pattern changes in the signals and determining when the pattern changes in the signals indicate a worsening of the diagnosed health condition, the worsening requiring medical response.
2. The method of claim 1 , wherein the first signals and real time signals comprise health indicating parameters obtained from sounds received by a microphone of the bedside home health monitoring unit.
3. The method of claim 2 wherein the first signals and real time signals additionally comprise health indicating parameters obtained from measuring device signals received by the bedside home health monitoring unit.
4. The method of claim 2 further comprising providing a medical response when it is determined that the medical response is required.
5. The method of claim 2 wherein the first signals and real time signals received comprise breathing patterns selected from the group consisting of breathing rate, breathing sound frequency spectrum, snoring and coughing, and the diagnosed health condition is an asthmatic condition.
6. The method of claim 2 wherein the first signals and real time signals received comprise breathing patterns selected from the group consisting of breathing rate, breathing sound frequency spectrum, snoring and coughing, and the diagnosed health condition is a chronic obstructive pulmonary condition.
7. The method of claim 2 wherein the first signals and real time signals received comprise cardiovascular patterns selected from the group consisting of breathing rate, breathing sound frequency spectrum, snoring, coughing, beat-to-beat R-wave intervals, QRS duration, chest movement-respiratory effort, and activity, and the diagnosed health condition is a cardiovascular condition.
8. The method of claim 2 wherein the first signals and real time signals received comprise breathing patterns selected from the group consisting of breathing rate, breathing sound frequency spectrum, snoring and coughing, and the diagnosed health condition is an obstructive sleep apnea condition.
9. The method of claim 1 wherein the step of comparing the real time signals to the first signals includes utilizing a digital signature recognition technology comprising a technique selected from the group consisting of matched filtering, cross correlation, and neural networking.