Central Apnea Detection
Existing apnea monitors fail to detect clinically important apnea events because they fail to distinguish cardiac artifacts from a chest impedance signal and therefore fail to detect cessation of breathing. A system and method are disclosed that provides improved apnea detection, particularly in a neonatal setting. The disclosed techniques filter out cardiac artifacts from the chest impedance signal, allowing determining a probability of an apnea event. Detection of an apnea event may then be used to trigger an alarm, initiate automatic physical stimulation of the patient, or both.
1 . A method of detecting apnea in a patient, comprising:
receiving chest impedance physiological data and cardiac physiological data from bedside monitoring equipment associated with the patient;
modeling cardiac phase using the cardiac physiological data;
calculating a frequency or time domain approximation of a cardiac artifact based on a representation of the cardiac phase and the chest impedance physiological data;
removing the cardiac artifact from the chest impedance physiological data, producing a filtered chest impedance data;
calculating a probability of an apnea event based on the filtered chest impedance data; and
generating an alarm indication responsive to a set of criteria being met based on the probability of the apnea event over a period of time.
2 . The method of claim 1 , further comprising:
triggering an automatic physical stimulation of the patient responsive to the apnea event.
3 . The method of claim 1 , further comprising:
calculating a length of the apnea event.
4 . The method of claim 1 , further comprising:
recording apnea events for the patient;
sending information about historical apnea events to a graphical user interface;
calculating aggregate information about the recorded apnea events for the patient; and
sending the aggregate information about the recorded apnea events to the graphical user interface.
5 . The method of claim 4 , wherein recording apnea events for the patient comprises recording oxygen saturation and heart rate data associated with the apnea events.
6 . The method of claim 1 , further comprising receiving heart rate and oxygen saturation measurements from the bedside monitoring equipment,
wherein the set of criteria includes heart rate and oxygen saturation criteria.
7 . The method of claim 1 , wherein the patient is a neonatal infant.
8 . A patient monitoring system for detecting apnea events in a patient, comprising:
bedside monitoring equipment associated with the patient that produces chest impedance physiological data and cardiac physiological data;
a computer system programmed to:
receive the chest impedance physiological data and the cardiac physiological data;
model cardiac phase using the cardiac physiological data;
calculate a frequency or time domain approximation of a cardiac artifact based on a representation of the cardiac phase and the chest impedance physiological data;
remove the cardiac artifact from the chest impedance physiological data, producing a filtered chest impedance data;
calculate a probability of an apnea event based on the filtered chest impedance data; and
generate an alarm indication responsive to a set of criteria being met based on the probability of the apnea event over a period of time.
9 . The patient monitoring system of claim 8 , wherein the computer system is further programmed to:
trigger an automatic physical stimulation of the patient.
10 . The patient monitoring system of claim 8 , wherein the computer system is further programmed to:
calculate a length of the apnea event.
11 . The patient monitoring system of claim 8 , wherein the computer system is further programmed to:
record apnea events for the patient;
send information about historical apnea events to a user interface;
calculate aggregate information about the recorded apnea events for the patient; and
send the aggregate information about the recorded apnea events to the user interface.
12 . The patient monitoring system of claim 11 , wherein the computer system is further programmed to record oxygen saturation and heart rate data associated with the apnea events.
13 . The patient monitoring system of claim 8 , wherein the computer system is further programmed to receive heart rate and oxygen saturation measurements from the bedside monitoring equipment,
wherein the set of criteria includes heart rate and oxygen saturation criteria.
14 . The patient monitoring system of claim 8 , wherein the patient is a neonatal infant.
15 . A non-transient medium on which is stored software for detecting apnea events in a patient, comprising software that when executed causes a computer system to:
receive chest impedance physiological data and cardiac physiological data from bedside monitoring equipment associated with the patient;
model cardiac phase using the cardiac physiological data;
calculate a frequency or time domain approximation of a cardiac artifact based on a representation of the cardiac phase and the chest impedance physiological data;
remove the cardiac artifact from the chest impedance physiological data, producing a filtered chest impedance data;
calculate a probability of an apnea event based on the filtered chest impedance data; and
generate an alarm indication responsive to a set of criteria being met based on the probability of the apnea event over a period of time.
16 . The non-transient medium of claim 15 , wherein the software when executed further causes the computer system to:
trigger an automatic physical stimulation of the patient.
17 . The non-transient medium of claim 15 , wherein the software when executed further causes the computer system to:
calculate a length of the apnea event.
18 . The non-transient medium of claim 15 , wherein the software when executed further causes the computer system to:
record apnea events for the patient;
send information about historical apnea events to a user interface;
calculate aggregate information about the recorded apnea events for the patient; and
send the aggregate information about the recorded apnea events to the user interface.
19 . The non-transient medium of claim 18 , wherein the software when executed further causes the computer system to record SpO 2 and heart rate data associated with the apnea events.
20 . The non-transient medium of claim 15 , wherein the software when executed further causes the computer system to:
receive heart rate and oxygen saturation measurements from the bedside monitoring equipment,
wherein the set of criteria includes heart rate and oxygen saturation criteria.