OBTAINING AN INDICATION ABOUT A FAT CONTENT OF MILK
20210247361 · 2021-08-12
Inventors
- Susanne Maaike Valster (Valkenswaard, NL)
- Kiran Hamilton, J. DELLIMORE (UTRECHT, NL)
- Russell GRIM (EINDHOVEN, NL)
Cpc classification
A61M2205/3375
HUMAN NECESSITIES
International classification
Abstract
A breast pump device (1) is equipped with or used in conjunction with an acoustic milk expression assessment system (6) for the purpose of obtaining an indication about a fat content of expressed milk. The acoustic milk expression assessment system (6) includes an acoustic sensor (61) and a processor (62) configured to process an acoustic signal received from the acoustic sensor (61) during operation of the breast pump device (1) when a milk receptacle (4) is used with the device (1). By recording sound during a pumping session, it is possible to determine a frequency shift in the sound of droplets falling down in the receptacle (4) and hitting a surface of the milk contained by the receptacle (4) with respect to a reference situation of a liquid having 0% fat content, which can be taken as a factor in estimating a value related to the fat content of the milk.
Claims
1. A method of obtaining an indication about a fat content of milk, wherein at least one liquid droplet is made to fall down on a quantity of the milk, wherein the sound of an event of the liquid droplet hitting a surface of the quantity of the milk is detected so as to obtain an acoustic signal of the event, wherein the method comprises: performing an analysis of the acoustic signal by executing a routine thereby to yield an estimation of a value related to the fat content of the milk from the acoustic signal; wherein the analysis of the acoustic signal involves a determination of a frequency spectrum of the acoustic signal.
2. (canceled)
3. The method according to claim 1, wherein the performing step comprises determining a value of the frequency of at least one peak of the frequency spectrum, and comparing the value to a reference value so as to determine a frequency shift, and using the frequency shift as a factor in estimating a value related to the fat content of the milk.
4. The method according to claim 1, wherein the at least one liquid droplet is a droplet of the milk.
5. (canceled)
6. A computer program comprising computer program code means which is adapted, when said program is run on a computer, to implement the steps of: receiving an acoustic signal of a sound of a liquid droplet hitting a surface of a quantity of milk; and performing an analysis of the acoustic signal by executing a routine thereby to yield an estimation of a value related to a fat content of the milk from the acoustic signal, wherein the analysis of the acoustic signal involves a determination of a frequency spectrum of the acoustic signal.
7. A processor which is programmed to run the computer program as claimed in claim 6.
8. An apparatus for obtaining an indication about a fat content of milk, wherein the apparatus comprises: a path for transmittal of an acoustic signal of a sound of a liquid droplet hitting a surface of a quantity of milk, and a processor arranged for performing an analysis of the acoustic signal by executing a routine thereby to yield an estimation of a value related to the fat content of the milk from the acoustic signal, wherein the analysis of the acoustic signal involves a determination of a frequency spectrum of the acoustic signal.
9. The apparatus according to claim 8, wherein said at least one liquid droplet is made to fall down on a quantity of the milk within a breast pump device, and wherein: the apparatus comprises a device external to the breast pump device; or the apparatus comprises an internal part of the breast pump device.
10. The apparatus according to claim 8, further comprising an acoustic sensor for obtaining said acoustic signal.
11. A breast pump device, comprising: an expression kit including a breast-receiving funnel and a milk outlet; a pump mechanism; an acoustic milk expression assessment system including an acoustic sensor for obtaining the acoustic signal, and the apparatus as claimed in claim 8; and wherein the processor of the apparatus is configured to perform said analysis of the acoustic signal received from the acoustic sensor during operation of the breast pump device.
12. The breast pump device according to claim 11, wherein the analysis involves determination of a frequency spectrum of the acoustic signal, for example determination of a value of the frequency of at least one peak of the frequency spectrum of the acoustic signal and comparison of said value to a reference value so as to determine a frequency shift to be taken as a factor in estimating a value related to the fat content of the milk.
13. The breast pump device according to claim 11, wherein: the analysis involves real-time comparison of an estimated value related to the fat content of the milk to a discrimination value, and wherein the processor is configured to issue a warning signal the moment that the estimated value related to the fat content of the milk is found to have increased from below to above the discrimination value; or the analysis involves comparison of estimated values related to the fat content of the milk in a period of predetermined length from the start of a pumping session to a threshold value, and wherein the processor is configured to issue a warning signal when the estimated values related to the fat content of the milk are found to be above the threshold value.
14. The breast pump device according to claim 11, wherein the processor is configured to communicate with an external device or system which is separate from the expression kit and the pump mechanism, and which is configured to provide information to a user.
15. The breast pump device according to claim 11, wherein: the acoustic sensor is mounted at the expression kit and the processor is mounted at the pump mechanism; or the expression kit and the pump mechanism form parts of a breast pump and the breast pump device further comprises a user interface device external to the breast pump, and wherein: the acoustic sensor is part of the breast pump and the processor of the acoustic milk expression assessment system is part of the external user interface device; or both the acoustic sensor and the processor of the acoustic milk expression assessment system are part of the external user interface device.
16. A computer program as claimed in claim 6, wherein the performing step comprises determining a value of the frequency of at least one peak of the frequency spectrum, and comparing the value to a reference value so as to determine a frequency shift, and using the frequency shift as a factor in estimating a value related to the fat content of the milk.
17. The apparatus as claimed in claim 8, wherein the processor is arranged for determining a value of the frequency of at least one peak of the frequency spectrum, and comparing the value to a reference value so as to determine a frequency shift, and using the frequency shift as a factor in estimating a value related to the fat content of the milk.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0048] The invention will now be explained in greater detail with reference to the figures, in which equal or similar parts are indicated by the same reference signs, and in which:
[0049]
[0050]
[0051]
[0052]
[0053]
[0054]
DETAILED DESCRIPTION OF EMBODIMENTS
[0055] The invention is in the field of breast pump devices and is especially applicable to electric breast pump devices. With reference to
[0056] The breast pump device 1 comprises an expression kit 2 and a vacuum unit 3 for generating a pressure cycle during which vacuum (low pressure) is alternately generated and released. For the purpose of receiving expressed breast milk during operation of the breast pump device 1, a milk receptacle 4 is used which is connectable to the expression kit 2, e.g. by screwing, thereby closing a lower end of the expression kit 2. The vacuum unit 3 is an electric vacuum unit and comprises an electric pump 31 and an air valve for realizing an alternating vacuum during operation, i.e. during pumping sessions to be performed by means of the breast pump device 1. The pump 31, the air valve and a Central Processing Unit (CPU) 32 for realizing proper operation of the pump 31 and the air valve are designed to function in a manner which is well known in the field of breast pump devices. Therefore, further details of these components will not be explained in the present text, and the same is applicable to other practical aspects of the vacuum unit 3 known per se. The pump 31 is electrically connected to a source of electric power, which may be the mains or a battery, for example. The pump 31 and the CPU 32 are diagrammatically depicted in
[0057] The expression kit 2 comprises a breast-receiving funnel 21, an aperture acting as a milk outlet 22, and a milk path 23 from the breast-receiving funnel 21 to the milk outlet 22. The breast-receiving funnel 21 is thus in fluid communication with the milk outlet 22 through the milk path 23. The milk path 23 is closeable by means of a valve assembly 24 (diagrammatically shown in
[0058] In
[0059] Advantageously, as shown, the breast pump device 1 comprises a user interface 34 for allowing a user to control operation of the breast pump device 1. In the shown example, the user interface 34 is arranged on the vacuum unit 3 and enables a user to provide input to the CPU 32. The user interface 34 may be realized in any suitable manner such as through a number of buttons as shown, or through a touch screen, for example. By way of example, it is noted that the user interface 34 may comprise one button 35 for activating a stimulation mode and three buttons 36 for choosing one of three expression settings.
[0060] The invention provides a way of estimating the fat content in breast milk by means of the breast pump device 1, i.e. by means of a device which is suitable to be used in a domestic setting as well as in a setting where medical professionals are present, without requiring complex, cumbersome and expensive analytical equipment. To that end, the breast pump device 1 is equipped with an acoustic milk expression assessment system 6 including an acoustic sensor 61 and a processor 62 configured to process an acoustic signal received from the acoustic sensor 61 during operation of the breast pump device 1. In the shown example, the acoustic sensor 61 is a microphone which is integrated in the expression kit 2 at a position along the milk path 23, upstream of the valve assembly 24. That does not alter the fact that another type of acoustic sensor 61 such as a suitable pressure sensor or accelerometer may be used in the breast pump device 1 according to the invention. In the case of the acoustic sensor 61 being a microphone, it is preferred if the microphone is of the unidirectional or cardioid type to minimize external noise and to optimally pick up an acoustic signature of milk droplets falling down in the milk receptacle 4 and hitting a surface of a quantity of milk contained by the receptacle 4. Further, other positions of the acoustic sensor 61 are feasible within the framework of the invention. When it comes to minimizing background noise, adding suitable acoustic shielding is available within the framework of the invention.
[0061] Both the acoustic sensor 61 and the processor 62 are diagrammatically depicted in
[0062] The processor 62 may be part of the CPU 32, as indicated in
[0063] When it comes to holding a smartphone 7 or other external device or system to a milk receptacle 4, any suitable holder mechanism can be designed and applied. In general, such a suitable holder mechanism may comprise a holder which is designed to wrap around the receptacle 4 securely and which is also capable of securely holding the smartphone 7, wherein it is preferred if the holder can be adapted to use with receptacles 4 of various diameters, for example on the basis of flexible properties.
[0064] Additionally, any holder accessory could be devised for the support and positioning of any wireless earbuds/earphones near the desired sound detecting location on a breast pump device 1. The microphone of the earbuds/earphones could be used to collect information suitable for the purpose of estimating a value related to the fat content of the milk instead of the smartphone 7.
[0065] A process of detecting an acoustic signal for the purpose of obtaining an indication about the fat content of the milk can be very well performed in a context of a double electric breast pump device, i.e. a breast pump device which is designed to retrieve milk from two breasts simultaneously, and which comprises two expression kits 2. According to a first option, an acoustic sensor 61 could be integrated on each of the two expression kits 2, and the two acoustic signals obtained in that way could be analyzed for finding the information as required. According to a second option, it is possible to use only acoustic sensor 61 on only one of the two expression kits 2, provided that the acoustic sensor 61 is arranged at a position where it is possible to detect the sound of milk droplets falling in each of the receptacles 4 connected to the respective expression kits 2. The milk droplets falling in the one receptacle 4 can be distinguished from the milk droplets falling in the other receptacle 4 on the basis of the amplitude (or another suitable feature) of the detected peaks in the acoustic signal. The fact is that milk droplets falling in the receptacle 4 which is closest to the acoustic sensor 61 can be expected to generate sound at a larger amplitude than milk droplets falling in the receptacle 4 which is at a larger distance. In the context of a double electric breast pump device, it may be advantageous to use a bidirectional or an omnidirectional microphone as the acoustic sensor 61 rather than an unidirectional microphone.
[0066] In the following, the way in which the acoustic milk expression assessment system 6 works will be explained, wherein also details of a theoretical background of the functioning principle of the acoustic milk expression assessment system 6 will be given.
[0067] In general, the breast pump device 1 is used to realize milk expression from a woman's breast. To that end, an alternating vacuum (pressure cycle) is applied to the breast. During periods of low pressure, or vacuum, the actual process in which milk is expressed from the breast takes place. Every time that the vacuum is released, freshly expressed milk drops in the receptacle 4. The quantity of milk which falls down from the expression kit 2 is small and may be expected to appear from the expression kit 2 as a droplet. In
[0068] It is generally known that the fat content of expressed milk changes during a pumping session. In a first instance, so-called foremilk is expressed, whereas in a later instance, so-called hindmilk is expressed, wherein it is to be noted that the foremilk is thinner and has a lower fat content than the hindmilk, and also that there is no sharp distinction between the foremilk and the hindmilk, as the composition of the milk will change gradually. The foremilk mainly has a function in quenching a baby's or infant's thirst, while the hindmilk mainly has a function in providing a satisfied feeling and stopping hunger. In order to achieve a natural feeding scheme with expressed milk, it is desired to first give foremilk to a baby or infant and then provide the baby or infant with the hindmilk. To that end, the milk should be stored in at least two different receptacles during expression. The receptacle should be switched when the fat content of the milk increases above a certain threshold, indicating the transition from foremilk to hindmilk.
[0069] The breast pump device 1 is adapted to automatically estimate in real-time the fat content of human breast milk during expression with the acoustic milk expression assessment system 6, by analyzing the frequency spectrum of the splashes produced by the milk droplets as they fall down in the receptacle 4. An acoustic signal acquired by the acoustic sensor 61 is processed by the processor 62 in order to compute the frequency spectrum. A practical way of doing so involves isolating consecutive milk droplet splash events and performing a Fast Fourier Transformation on droplet signal segments. For example, five to ten events collected with a time frame of about 10 to 20 seconds may be isolated. The spectra for each droplet may be averaged, so that effects of noise and outliers may be reduced. As a result, a mean milk droplet frequency spectrum is obtained.
[0070] Preferably, the acoustic signal is used first for the purpose of determining the volume of the milk in the receptacle 4. This can be done by collecting information about the time it takes for milk droplets to fall down from the valve assembly 24 to the surface of the milk as present in the receptacle 4. The acoustic milk expression assessment system 6 may be configured to perform a process of estimating a value related to the fat content of the milk once a certain volume has been reached.
[0071]
[0072] A practical way of analyzing the frequency spectrum and the routine (algorithm) followed in the process are explained in the following. It is to be noted that this is one out of a larger number of ways existing within the framework of the invention, particularly one which is aimed at determining the moment in a pumping session that a transition from foremilk to hindmilk takes place.
[0073] The routine uses a first order parametric transfer function, according to which two variables, namely volume of milk in the receptacle 4 (V, ml) and measured frequency of the fourth peak D from the milk splash (f.sub.m, Hz), are taken in and used to estimate the fat content (F, %), on the basis of the following empirically determined basic formula, wherein K.sub.1, K.sub.2 and c represent empirically derived constants:
F=K.sub.2(f.sub.m−(K.sub.1V+c))
[0074] This transfer function consists of two sub transfer functions, which describe the behavior of the fourth peak D as it reacts to i) volume at 0% fat content (i.e. water) and ii) changes in fat content, wherein f.sub.w represents the expected peak location for 0% fat content (Hz) and Δf represents the change in frequency (Hz):
f.sub.wK.sub.1V+c
F=K.sub.2Δf
[0075] In experiments performed in the context of the invention, K.sub.1 and c were found by collecting the location of the fourth peak D for eleven different volumes ranging from 50 ml to 150 ml. K.sub.2 was found by varying the fat content and observing the location of the same fourth peak D. In this way, in respect of K.sub.1 and c, a nonlinear model was found, which is represented by the following equations:
f.sub.w=−11.2 V+2,966
for volumes below 80 ml, and
f.sub.w=−6.2 V+2,306
for volumes above 80 ml. Thus, it appeared that for volumes below 80 ml, K.sub.1=−11.2 Hz ml.sup.−1 and c=2,966 Hz, and that for volumes above 80 ml, K.sub.1=−6.2 Hz ml.sup.−1 and c=2,306 Hz. Further, irrespective of the volume, a suitable value of K.sub.2 was found to be 0.075% Hz.sup.−1.
[0076] When the values of K.sub.1, K.sub.2 and c are used in the basic formula provided earlier, the following model is obtained:
V<80 ml F=0.075(f.sub.m+11.2 V−2,966)
V>80 ml F=0.075(f.sub.m+6.2 V−2,306)
[0077] First order models were used in this analysis to approximate the system's behavior. Higher order models, or even alternative nonlinear models such as look-up tables could be used to improve accuracy.
[0078] The use of the model is illustrated by means of an example in which the volume is 150 ml and the fourth peak D is found to be at 1,400 Hz when the frequency spectrum from the splash is analyzed. In the example, the estimated absolute value of the fat content turns out to be
F=0.075(1,400+6.2.Math.150−2,306)=1.8%
[0079] It is to be noted that other features could be considered, such as ratios of two or more peaks A, B, C, D in the frequency domain and damping coefficients of the envelops of the time domain signals. It may further be possible to establish a “fingerprint” for a given milk formation using a combination of such features.
[0080] A schematic overview of a system as described in the foregoing, for milk fat content estimation and also for milk volume estimation by acoustic detection of two droplets released during expression with a double electric breast pump is given in
[0081] A summary of the basic theory underpinning the invention is now provided to enhance understanding.
[0082] The observed peak frequency shift in the averaged droplet frequency spectrum is assumed to occur due to two coupled factors: i) changes in volume as the receptacle 4 is filled with milk, and ii) changes in surface tension/viscosity linked directly to the fact content of the milk. Changes in surface tension arising due to other factors such as mineral content, impurities or temperature are assumed to be negligible and therefore ignored. Temperature can greatly influence surface tension and viscosity, however, it is assumed here that the expressed milk will not undergo a large change in temperature during expression and thus will not vary greatly from about 37° C., i.e. the approximate temperature at which milk is expressed from the human body.
[0083] It is further assumed that the volume and fat content factors are additive and can be completely decoupled by separately considering the effect of volume and fat content. Since the volume change effect is two orders of magnitude larger than the fat content change effect, over the functional range of the breast pump device 1, first the magnitude of the volume effect is isolated by comparison with water at the same volume. Water is a useful comparison medium as water contains no fat. This implicitly assumes that if the milk at a given volume is compared with water at the same volume, the frequency of the fourth peak D would be identical if the milk had no fat content. Thus, any difference in the frequency of the fourth peak D for milk and the corresponding peak for water is assumed to only arise from the changes in surface tension/viscosity linked directly to the fat content of the milk. This assumption implies further that the effect of fat content on the surface tension and the viscosity is the same at all milk volumes, i.e. that the fat content will change the frequency spectrum in an identical magnitude and direction at all milk volumes.
[0084] In order to confirm the above approach, further details are given of the setting in which the experiments were performed. In the experiments, a pipette, a container, milk, a 50 ml measuring cylinder, a microphone, a clamp stand, and a personal computer with Matlab and Audacity installed were used. The pipette was held 300 mm from the rim of the container by the clamp stand at a slight angle. The pipette was used instead of a pump to allow for better control of droplet formation. The microphone was taped to the bottom of the container. The milk was diluted to a desired fat content and the container was filled to the desired volume by means of the measuring cylinder. Fifteen milk droplets of the same fat content as the milk in the container were pipetted into the container at a slow regular pace of about 0.5 to 1.0 Hz. This allowed the surface of the diluted milk to settle between each droplet. The acoustic signal from the microphone was then captured using Audacity on the personal computer, and the data were exported as .wav files and imported into Matlab.
[0085] By means of Matlab, the audio signals were passed through a series of post processing steps before arriving at f.sub.m, i.e. the frequency of the fourth peak D. First the acoustic signal was passed through a peak detector to extract the peaks A, B, C, D. The signal was then windowed to leave just the single splash. Some artefacts were captured here, but were filtered out with a later averaging process. The Fast Fourier Transformation of the splashes were calculated before the average was taken. Outliers were removed at this point and a peak detector was applied across the 0 to 4 kHz range. The fourth peak D, which was found to appear in a range of 1.2 to 3.0 kHz in the experimental setup, was extracted and f.sub.m was set as its frequency location.
[0086] The above-described procedure was run for a number of different volume-fat content combinations. Different fat contents were obtained by diluting full fat milk (3.5% fat). The ratio of milk to water was calculated by the following equation, in which V.sub.w represents the volume of water, V.sub.m represents the volume of milk, C.sub.1 represents the initial fat content, and C.sub.2 represents the final fat content:
V.sub.w/V.sub.m=(C.sub.1/C.sub.2)−1
The above equation was derived from the following basic equation:
Concentration=Mass/Volume
When diluting, the mass of fat was kept constant while the volume was changed, hence
C.sub.1V.sub.1=C.sub.2V.sub.2
[0087] As already suggested in the foregoing, the invention offers the option of determining milk fat content in real-time during breast milk expression. This allows for separation of expressed milk into foremilk and hindmilk in order to enable more natural feeding, i.e. feeding a baby or infant expressed milk in a similar way to which the milk is extracted by the baby or infant feeding directly at the breast. Several practical considerations are made to actually put this to practice. First, as it is known that expressed human breast milk gradually transitions from less fatty foremilk to more fatty hindmilk, a fat content threshold is used to distinguish between the two types of milk. Due to a lack of an established golden standard for this transition an arbitrary threshold is set at say 4% fat content. Nevertheless, it should be understood that this threshold can readily be changed to a higher or lower value which may be personalized to a lactating woman depending on, for instance, the range of fat content in her expressed milk. Therefore, a 4% fat content threshold is used here solely for purposes of illustration. Second, as it is known that the first milk expressed from a breast is waterier foremilk, the transition point to fattier hindmilk will come after a certain volume of milk has been expressed, prior to the end of the expression session.
[0088] With reference to
[0089] According to a practical possibility, the lactating woman is notified once the fat content appears to reach 4%, and prompted to switch receptacles so that the fattier hindmilk can be stored separately from the waterier foremilk. This may be done through an app or any other suitable communication means. In practice, the action of switching receptacles may take no more than about 1 minute and may be easily performed by temporarily stopping the pump 31 and then quickly decoupling a first receptacle from the breast pump device 1 and coupling another receptacle to the breast pump device 1 in place of the first one.
[0090] During the experiments, the color of the milk was observed changing at different dilutions. In view thereof, a step may be taken for validating the estimated fat content, using optical sensing. For example, a smartphone 7 may be used for acquiring an image of the milk as present in a receptacle 4, which image may then be processed for estimating the fat content of the milk, by correlating with an expected color of the milk.
[0091] Data of volume and fat content of the milk could be used to provide coaching or guidance to lactating women. For example, the following may be achieved: i) lactating women may be prevented from ending expression too soon, i.e. before all fat, highly nutritious milk has been extracted, ii) lactating women worrying about the quality of their breast milk may be reassured that the produced volume is sufficient and the quality is alright, as a result of which lactating women may be prevented from quitting breast feeding at an early stage (a too early stage), and iii) expression sessions may be optimized to ensure that the expressed milk is optimized for volume and for fat content, taking into account the assumption that milk expressed relatively quickly or in a relatively short time may have suboptimal volume and fat content than milk expressed at a relatively slower pace.
[0092] As suggested earlier, it is known that abnormally large fat globule sizes in breast milk are produced when a lactating woman suffers from mastitis. Assuming that large globule fat size correlates to increased fat content, the fact content tracking technique according to the invention may be used to provide an early warning system for the diagnosis of mastitis. The invention could therefore be applied both for the purpose of mastitis screening as well as monitoring of treatment efficacy.
[0093] The acoustic milk expression assessment system 6 could be configured to output relative fat content, i.e. fat content as a percentage of a maximum fat content, rather than absolute fat content. This may be a useful metric to lactating women who want to track the current expression and compare it with previous expressions. This may also allow for simplification of the routine presented above as it would imply that it is not necessary to find the constant K.sub.2, which is typically needed for determining the absolute fat content.
[0094] As explained above, the milk expression assessment system may be incorporated into a breast pump or it may be part of an external device.
[0095]
[0096] In
[0097] In one aspect, the invention relates to the breast pump device with the integrated acoustic sensor and processor.
[0098]
[0099] In another aspect, the invention relates more generally to the program operated by the processor, and any device in which the suitably programmed processor is incorporated, such as the smartphone 7. Thus, in this aspect, the invention does not include generation of the acoustic signal, but rather relates to the processing of an acoustic signal which is received as an input.
[0100]
[0101]
[0102]
[0103] It will be clear to a person skilled in the art that the scope of the invention is not limited to the examples discussed in the foregoing, but that several amendments and modifications thereof are possible without deviating from the scope of the invention as defined in the attached claims. It is intended that the invention be construed as including all such amendments and modifications insofar they come within the scope of the claims or the equivalents thereof. While the invention has been illustrated and described in detail in the figures and the description, such illustration and description are to be considered illustrative or exemplary only, and not restrictive. The invention is not limited to the disclosed embodiments. The drawings are schematic, wherein details which are not required for understanding the invention may have been omitted, and not necessarily to scale.
[0104] Variations to the disclosed embodiments can be understood and effected by a person skilled in the art in practicing the claimed invention, from a study of the figures, the description and the attached claims. In the claims, the word “comprising” does not exclude other steps or elements, and the indefinite article “a” or “an” does not exclude a plurality. Any reference signs in the claims should not be construed as limiting the scope of the invention.
[0105] Elements and aspects discussed for or in relation with a particular embodiment may be suitably combined with elements and aspects of other embodiments, unless explicitly stated otherwise. Thus, the mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
[0106] The term “comprise” as used in this text will be understood by a person skilled in the art as covering the term “consist of”. Hence, the term “comprise” may in respect of an embodiment mean “consist of”, but may in another embodiment mean “contain/include at least the defined species and optionally one or more other species”.
[0107] Notable aspects of the invention can be summarized as follows. A breast pump device 1 comprises an expression kit 2 including a breast-receiving funnel 21, a milk outlet 22 and an air outlet 25, and also comprises a vacuum unit 3 configured to realize a pressure cycle in the expression kit 2. For the purpose of obtaining an indication about a fat content of expressed milk, the breast pump device 1 is equipped with an acoustic milk expression assessment system 6, including an acoustic sensor 61 and a processor 62 configured to process an acoustic signal received from the acoustic sensor 61 during operation of the breast pump device 1 when a receptacle 4 is used with the breast pump device 1 for receiving milk from the milk outlet 22 of the expression kit 2. By recording sound during a pumping session, it is possible to determine a frequency shift in the sound of droplets falling down in the receptacle 4 and hitting a surface of the milk contained by the receptacle 4 with respect to a reference situation of a liquid having 0% fat content, which can be taken as a factor in estimating a value related to the fat content of the milk.