LONG-TERM HEARTRATE TRENDS

1 . A method to display patient data collected by a wearable cardioverter defibrillator (WCD), the method comprising:

receiving raw heart rate data from one or more electrocardiogram (ECG) sensors;

classifying the heart rate data into one of a ventricular (VT) and supra-ventricular (SVT) segment;

recording the classification and time stamp of each VT and SVT segment; and

generating one or more interactive displays of each VT and SVT segments.

2 . The method of claim 1 , wherein classifying the heart rate data further comprises:

generating a template for a normal QRS heart rate complex for a user of the WCD; and

comparing the template to the QRS width of the raw heart rate data.

3 . The method of claim 2 , further comprising:

generating one or more graphs of VT and SVT segments displaying a QRS width of each VT and SVT heartbeat.

4 . The method of claim 1 , further comprising:

determining at least one of a maximum, a minimum, an average, and some combination thereof of the VT and SVT segments once every predetermined time period.

5 . The method of claim 1 , further comprising:

determining a percentage of segments that are VT segments and a percentage of segments that are SVT segments for a predetermined time period; and

generating a visual representation to visibly display the percentage of VT segments and SVT segments for the predetermined time period.

6 . The method of claim 5 , wherein the predetermined time period is adjustable.

7 . The method of claim 1 , further comprising:

generating a graph of VT segments for a predetermined time period;

generating a graph of SVT segments for the predetermined time period; and

combining the graphs into a display.

8 . The method of claim 1 , further comprising:

receiving movement data from a motion sensor coupled to the WCD;

analyzing movement data to determine patient mobility data;

generating a graph of the patient mobility data; and

displaying the graph of patient mobility data with the VT and SVT segment data.

9 . The method of claim 1 , further comprising:

generating a maximum, minimum, and average segment reading for a specific time stamp; and

displaying the maximum, minimum, and average segment for the specific time stamp when prompted.

10 . The method of claim 1 , further including:

analyzing a QRS width of the raw heart rate data.

11 . A wearable cardiac defibrillator (WCD) system for monitoring health of a patient wearing the WCD system, the system comprising:

at least one sensor positioned to gather data about the patient;

one or more memories, the one or more memories configured to analyze patient data; and

one or more processors configured to cause the system to:

receive raw heart rate data from one or more electrocardiogram (ECG) sensors;

classify the heart rate data into one of a ventricular (VT) and supra-ventricular (SVT) segment based at least in part on the QRS width;

record the classification and time stamp of each VT and SVT segment; and

generate one or more interactive displays of each of the VT and SVT segment.

12 . The WCD system of claim 11 , wherein when classifying the heart rate data, the processor is further configured to:

generate a template for a normal QRS heart rate complex for a user of the WCD; and

compare the template to the QRS width of the raw heart rate data.

13 . The WCD system of claim 12 , wherein the processor is further configured to:

generate a graph of VT and SVT segments displaying a QRS width of each VT and SVT segment.

14 . The WCD system of claim 11 , wherein the processor is further configured to:

determine at least one of a maximum, a minimum, an average, and some combination thereof of the VT and SVT segment once every predetermined time period.

15 . The WCD system of claim 11 , wherein the processor is further configured to:

determine a percentage of segments that are VT segments and a percentage of segments that are SVT segments for a predetermined time period; and

generate a visual representation to visibly display the percentage of VT segments and SVT segments for the predetermined time period.

16 . The WCD system of claim 15 , wherein the predetermined time period is adjustable.

17 . The WCD system of claim 11 , wherein the processor is further configured to:

generate a graph of VT segments for a predetermined time period;

generate a graph of SVT segments for the predetermined time period; and

combine the graphs into a display.

18 . The WCD system of claim 11 , wherein the processor is further configured to:

receive movement data from a motion sensor coupled to the WCD;

analyze movement data to determine patient mobility data;

generate a graph of the patient mobility data; and

display the graph of patient mobility data with the VT and SVT segment data.

19 . The WCD system of claim 11 , wherein the processor is further configured to:

generate a maximum, minimum, and average heart rate reading for a specific time stamp; and

display the maximum, minimum, and average heart rate for the specific time stamp when prompted.

20 . A method to display data collected by a wearable cardioverter defibrillator (WCD), the method comprising:

positioning at least one electrocardiogram (ECG) sensing electrodes to measure electrical activity of a heart of a person;

receiving at least one ECG signal from the at least one ECG electrodes;

analyzing the signal into usable data including a QRS width of each segment;

classifying the heart rate data into one of a ventricular (VT) and supra-ventricular (SVT) segment based at least in part on the QRS width;

recording the classification and time stamp of each VT and SVT segment; and

generating one or more interactive displays of the VT and SVT segments.