Method for measuring flow features in an inhaler, inhaler and system
The present invention relates to a method for measuring at least one inhalation flow feature in an inhaler, wherein a capsule containing a formulation is located in the inhaler, the method comprising the steps of sensing an impact feature relating to impacts of the capsule on the inhaler and correlating the impact feature to at least one inhalation flow feature. The present invention also relates to an inhaler adapted to aerosolize a formulation contained in a capsule, wherein the inhaler comprises a sensor for sensing an impact feature relating to impacts of the capsule on the inhaler and a processor for correlating the impact feature to at least one inhalation flow feature. The present invention also relates to a system comprising an inhaler adapted to aerosolize a formulation contained in a capsule and a computing device external of the inhaler, wherein the inhaler comprises a sensor for sensing an impact feature relating to impacts of the capsule on the inhaler and a data-receiving-transmitting means to receive and transmit data from and to the external computing device, wherein the external computing device also comprises data-receiving-transmitting means to receive and transmit data from and to the inhaler, wherein the inhaler and/or the external computing device comprises processing means for correlating the impact feature to at least one inhalation flow feature.
1. A method for measuring at least one inhalation flow feature in an inhaler, wherein a capsule containing a formulation is located in the inhaler, the method comprising:
sensing an impact feature relating to impacts of the capsule on the inhaler during a single inhalation,
dividing the sensed impact feature into time intervals within the single inhalation,
determining a mean value of the sensed impact feature for the time intervals,
correlating the mean value of the sensed impact feature to an inhalation flow volume for each of the time intervals, determining a peak-to-mean ratio of the sensed impact feature for the time intervals, and correlating the peak-to-mean ratio of the sensed impact feature to an inhalation flow volume.
2. The method according to claim 1 , wherein the impact feature is a sound generated by the impacts of the capsule on the inhaler.
3. The method according to claim 1 , wherein the sensing the impact feature and the correlating the mean value of the sensed impact feature are performed for a plurality of inhalations.
4. The method according to claim 1 , further comprising combining the inhalation flow volumes for each of the time intervals to determine an overall inhalation flow volume.
5. The method according to claim 4 , wherein combining the inhalation flow volumes for each of the time intervals includes averaging the inhalation flow volumes for each of the time intervals.
6. The method according to claim 4 , wherein combining the inhalation flow volumes for each of the time intervals includes providing different weights to the inhalation flow volumes for each of the time intervals.
7. The method according to claim 1 , wherein each of the time intervals has a predetermined duration.
8. The method according to claim 1 , wherein correlating the mean value of the sensed impact feature to the inhalation flow volume for each of the time intervals is performed after confirming, via a processor, that the capsule is located in the inhaler.
9. The method according to claim 1 , wherein sensing the impact feature is performed continuously during multiple inhalations.
10. An inhaler adapted to aerosolize a formulation contained in a capsule, wherein the inhaler comprises:
a sensor adapted to sense an impact feature relating to impacts of the capsule on the inhaler during a single inhalation, and
a processor adapted to divide the sensed impact feature into time intervals within the single inhalation, wherein the processor is adapted to determine a mean value of the impact feature for the time intervals, wherein the processor is adapted to correlate the mean value of the impact feature to an inhalation flow volume for each of the time intervals, wherein the processor is adapted to determine a peak-to-mean ratio of the impact feature for the time intervals, and wherein the processor is adapted to correlate the peak-to-mean ratio of the impact feature to an inhalation flow volume.
11. The inhaler according to claim 10 , wherein the sensor is a microphone.
12. The inhaler according to claim 10 , wherein the inhaler comprises a data-receiving-transmitting means to receive and transmit data from and to an external device.
13. A system comprising an inhaler according to claim 10 and an external computing device external to the inhaler, wherein the inhaler comprises a data-receiving-transmitting means to receive and transmit data from and to the external computing device, wherein the external computing device also comprises data-receiving-transmitting means to receive and transmit data from and to the inhaler.
14. A method for measuring at least one inhalation flow feature in an inhaler, wherein a capsule containing a formulation is located in the inhaler, the method comprising:
sensing an impact feature relating to impacts of the capsule on the inhaler,
determining over an interval of time a mean value of the impact feature, and
correlating the mean value of the impact feature to an inhalation flow volume over the interval of time,
determining over the interval of time a peak-to-mean ratio of the impact feature, and
correlating the peak-to-mean value of the impact feature to an inhalation flow volume.
15. The method according to claim 14 , wherein the inhalation flow volume correlated from the mean value of the impact feature and the flow volume correlated from the peak-to-mean ratio are averaged.
16. An inhaler adapted to aerosolize a formulation contained in a capsule, wherein the inhaler comprises:
a sensor adapted to sense an impact feature relating to impacts of the capsule on the inhaler, and
a processor adapted to determine over an interval of time a mean value of the impact feature and wherein the processor is adapted to correlate the mean value of the impact feature to an inhalation flow volume over the interval of time, wherein the processor is further adapted to determine over the interval of time a peak-to-mean ratio of the impact feature and to correlate the peak-to-mean value of the impact feature to an inhalation flow volume.
17. The inhaler according to claim 16 , wherein the processor is adapted to average the inhalation flow volume correlated from the mean value of the impact feature and the flow volume correlated from the peak-to-mean ratio.