Method for monitoring excrement data

1. A method for monitoring excrement data for seeking a pattern for a monitoring period, wherein said excrement data is associated with at least one absorbent article and a person wearing said at least one absorbent article, the method comprising:

acquiring excrement data, from a sensor associated with an absorbent article, comprising excrement data for at least two different time periods, wherein each of the at least two different time periods corresponds to the monitoring period for which a pattern of events is sought, wherein said excrement data comprises information of excrement into an absorbent article in form of excrement events, and wherein each excrement event has an associated time mark or associated information from which an associated time mark may be derived;

smoothing the time mark of each excrement event;

superposing the excrement data of the at least two different time periods such that the number of excrement events for each of the at least two different time periods is distinguishable and hours of each of the at least two different time periods coincide with hours of the monitoring period;

identifying peaks of the superposed data and estimating a time mark corresponding to the identified peaks; and

initiating toileting by the person during a time interval prior to the estimated time marks corresponding to the identified peaks.

2. The method according to claim 1 , wherein said excrement data is in form of absorbent state data and an excrement event is indicated by a change of the absorbent state of the absorbent article.

3. The method according to claim 1 , wherein said excrement data is in form of electrical property data and an excrement event is indicated by a change of the electrical property of the absorbent article.

4. The method according to claim 1 , wherein the smoothing comprises smoothing by applying a Kernel smoothing method.

5. The method according to claim 4 , wherein the Kernel smoothing method comprises applying a Kernel function to the time mark of each excrement event.

6. The method according to claim 5 , wherein a bandwidth, h, of said Kernel function is 20-150 minutes.

7. The method according to claim 1 , wherein identifying peaks of the superposed data includes identification of each peak having a height ≥0.8 n*k, wherein n is number of different periods for which data is acquired corresponding to the monitoring period and k is the height of the smoothing function.

8. The method according to claim 7 , wherein the smoothing comprises smoothing by applying a Kernel function to the time mark of each excrement event, and wherein a bandwidth, h, of said Kernel function is 20-150 minutes.

9. The method according to claim 8 , wherein said time interval has a length corresponding to the bandwidth.

10. The method according to claim 1 , wherein the total number of periods of time for which data is acquired corresponding to the monitoring period is pre-determined.

11. The method according to claim 1 , further comprising plotting the resulting superposed data as a continuous curve over the monitoring period for visualising a pattern of excrement events based on the acquired data.

12. The method according to claim 1 , wherein the number of associated excrement events for each time interval is arranged in form of a circumferential diagram extending over the monitoring period, wherein each segment of the diagram corresponds to each of the time intervals.

13. The method according to claim 1 , wherein the number of associated excrement events for each time interval is associated with a graphical scheme which is applied to segments of a circumferential diagram.

14. The method according to claim 13 , wherein the graphical scheme is in form of a colour gradient.

15. A data processing unit for monitoring excrement data is adapted to:

acquire excrement data, from an absorbent article with a wetness or liquid discharge sensor, comprising excrement data for at least two different time periods, wherein each of the at least two different time periods corresponds to a monitoring period for which a pattern of events is sought, wherein said excrement data comprises information of excrement into an absorbent article in form of excrement events, and wherein each excrement event has associated information from which an associated time mark may be derived;

smooth the time mark of each excrement event;

superposing the excrement data of the at least two different time periods such that the number of excrement events for each of the at least two different time periods is distinguishable and hours of each of the at least two different time periods coincide with hours of the monitoring period;

identifying peaks of the superposed data and estimating a time mark corresponding to the identified peaks; and

providing instructions for initiating toileting by the person during a time interval prior to the estimated time marks corresponding to the identified peaks.

16. A data processing unit for monitoring excrement data adapted to perform the method according to claim 1 .

17. A system for monitoring excrement data, comprising:

an absorbent article comprising a wetness or liquid discharge sensor, which is arranged to generate an output signal representative of an excrement status of said absorbent article, and

a data processing unit adapted to process said output signal generated by the wetness or liquid discharge sensor, wherein said data processing unit is adapted to:

acquire excrement data, from said wetness or liquid discharge sensor, comprising excrement data for at least two different time periods, wherein each of the at least two different time periods corresponds to a monitoring period for which a pattern of events is sought, wherein said excrement data comprises information of excrement into an absorbent article in form of excrement events, and wherein each excrement event has associated information from which an associated time mark may be derived;

smooth the time mark of each excrement event;

superposing the excrement data of the at least two different time periods such that the number of excrement events for each of the at least two different time periods is distinguishable and hours of each of the at least two different time periods coincide with hours of the monitoring period;

identifying peaks of the superposed data and estimating a time mark corresponding to the identified peaks; and

providing instructions for initiating toileting by the person during a time interval prior to the estimated time marks corresponding to the identified peaks.

18. The system for monitoring excrement data according to claim 17 , further comprising output means for visually representing the superposed excrement data for visualising a pattern of excrement events for the person associated with the absorbent article, based on the acquired excrement data.