WO2022128083A1 - Method for determining the hearing effort of a hearing aid wearer and corresponding adjustment of hearing aid parameters - Google Patents

Abstract

The invention relates to a method (40) for operating a hearing system (2) which comprises a hearing aid (4) having at least one input converter (12) and having an output converter (20) and having a motion sensor (24), wherein: an acoustic environmental situation of the hearing aid (4) is sensed as acoustic data (14) of the input converter (12), a characterization of the acoustic environmental situation is made on the basis of the sensed acoustic data (14), a measure of a hearing effort of the hearing system user (2) is determined on the basis of the sensed motion data (26) and the characterization, and a hearing aid parameter and/or a hearing aid power of the hearing aid (4) is adjusted according to the determined hearing effort.

Description

description

METHOD OF DETERMINING THE HEARING EFFORT OF A HEARING AID WEARER AND ADJUSTING HEARING AID PARAMETERS APPROPRIATELY

The invention relates to a method for operating a hearing system, which has a hearing aid with at least one microphone and with an earphone and with a motion sensor. The invention also relates to a hearing system, in particular a hearing aid device, for carrying out the method.

Hearing aid devices are portable hearing aids that are used to care for people who are hard of hearing or hard of hearing. In order to meet the numerous individual needs, different designs of hearing aid devices such as behind-the-ear hearing aids (BTE) and hearing aids with an external receiver (RIC: receiver in the canal) and in-the-ear hearing aids (ITE), for For example, concha hearing aids or canal hearing aids (ITE: In-The-Ear, CIC: Completely-In-Channel, HC: Invisible-In-The-Channel) are also provided. The hearing aids listed by way of example are worn on the outer ear or in the auditory canal of a hearing aid device user. Bone conduction hearing aids, implantable or vibrotactile hearing aids are also available on the market. The damaged hearing is stimulated either mechanically or electrically.

In principle, such hearing aids have an input converter, an amplifier and an output converter as essential components. The input transducer is typically an acousto-electric transducer such as a microphone and/or an electromagnetic receiver such as an induction coil or (radio frequency, RF) antenna. The output transducer is usually in the form of an electro-acoustic transducer, such as a miniature speaker (earphone), or an electromechanical transducer, such as a bone conduction transducer. listeners, realized. The amplifier is usually integrated into a signal processing device. The energy is usually supplied by a battery or a chargeable accumulator.

In a so-called binaural hearing aid device, two such hearing aids are worn by a user, with a communication connection existing between the hearing aids. During operation, for example, data, possibly also large amounts of data, are exchanged wirelessly between the hearing device on the right and left ear. The exchanged data and information enable the hearing aids to be adapted particularly effectively to a particular acoustic environment. In particular, this enables a particularly authentic spatial sound for the user and improves speech understanding, even in noisy environments.

During operation, the hearing device settings, i.e. one or more hearing device parameters and/or a hearing device performance, are automatically set using various parameters or variables, so that the most suitable possible hearing signal is generated for the user in every (acoustic) environmental or hearing situation.

A possible parameter here is, for example, a so-called listening effort as a stress parameter of the user in an environmental or hearing situation. In this context, the listening effort essentially describes the cognitive effort or the cognitive effort that the user has to make in a particular hearing situation in order to be able to perceive and recognize sound signals. Increased listening effort can affect the user's ability to perform and concentrate.

The invention is based on the object of specifying a particularly suitable method for operating a hearing system. In particular, in a hearing situation, the least possible listening effort should be realized for the hearing system user. The invention is also based on the object of specifying a particularly suitable hearing system for carrying out the method. With regard to the method, the object is achieved with the features of claim 1 and with regard to the hearing system with the features of claim 9. Advantageous refinements and developments are the subject of the dependent claims.

The advantages and configurations given with regard to the method can also be transferred to the hearing system and vice versa. Insofar as method steps are described below, advantageous configurations for the hearing system result in particular from the fact that it is designed to carry out one or more of these method steps.

The method according to the invention is intended for operating a hearing system, in particular a hearing aid device, and is suitable and designed for this. The hearing system has a hearing aid.

The hearing device is used in particular to care for a hearing-impaired user (hearing system user). In this case, the hearing aid is designed to pick up sound signals from the environment and output them to a user of the hearing aid. For this purpose, the hearing device has at least one acousto-electrical input converter, in particular a microphone, and at least one electro-acoustic output converter, for example a receiver. When the hearing aid is in operation, the input converter picks up sound signals (noises, tones, speech, etc.) from the environment and converts them into an electrical input signal (acoustic data). An electrical output signal is generated from the electrical input signal by modifying the input signal in signal processing. Signal processing is part of the hearing aid, for example. The input converter and the output converter and possibly also the signal processing are housed in particular in a housing of the hearing aid. The housing is designed in such a way that it can be worn by the user on the head and near the ear, eg in the ear, on the ear or behind the ear. The hearing device is preferably designed as a BTE hearing device, ITO hearing device or RIC hearing device. The hearing device also has a motion sensor for detecting movements of the hearing system user. The movement sensor is provided and set up to detect three-dimensional movements, in particular translational and/or rotational movements. The movement sensor is designed here, for example, as an accelerometer and/or as a gyroscope, ie as a gyroscopic (position) sensor. Alternatively, the movement sensor can also be a light sensor for detecting light signals in the vicinity of the hearing aid, or a pulse or blood pressure sensor for detecting changes in the heart rate or blood pressure of the hearing system user. A movement sensor is also possible, which has a combination of an accelerometer and/or gyroscope and/or pulse sensor and/or blood pressure sensor and/or light sensor. In this case, the movement sensor is preferably integrated in the hearing aid, in particular in its housing. The movements are recorded as movement data or gait data.

The conjunction “and/or” is to be understood here and in the following in such a way that the features linked by means of this conjunction can be designed both together and as alternatives to one another.

In the application, the hearing device is worn on the head and in the vicinity of the ear of the hearing system user, so that head movements of the hearing system user in particular can be detected by means of the movement sensor. In particular, walking or gait movements, ie body movements due to walking or running, can also be detected at least indirectly via the movement sensor of the hearing device.

According to the method, a movement of the hearing system user is detected as movement data from the movement sensor during operation of the hearing system. Movement data is to be understood here as meaning in particular direction-dependent accelerations or rotations, in particular a movement pattern derived therefrom. The movement data are thus a measure of the body movements performed by the hearing system user, in particular for walking movements. Furthermore, according to the method, an environmental situation of the hearing system user is determined on the basis of recorded acoustic data of the input transducer (input signal). An environmental situation is to be understood here in particular as an acoustic environmental situation or a hearing situation. In this case, the environmental situation is identified and described, for example, by means of a situation detection and/or at least one level measurement and/or at least one algorithm of the hearing device or the signal processing. For example, the environmental situation is classified according to specific criteria, with each of these classes being assigned a specific setting of the hearing device parameters and/or hearing device power. This determination of the (acoustic) environmental situation is also referred to below as characterization. In order to characterize the surrounding situation, a level is preferably determined from the acoustic data. The level is, for example, a signal-to-noise ratio (SNR) or a noise level and/or a (signal) level of the acoustic data, ie for example a volume of the detected ambient signals/noises.

According to the invention, a measure of the hearing effort (listening effort) of the hearing system user is determined on the basis of the recorded movement data and the characterization of the environmental situation. In other words, it is determined on the basis of the movement data and the characterization how much effort a hearing system user makes in a current hearing situation in order to perceive a useful signal. This means that a measure or a characterizing variable for a mental exertion or a stress or a cognitive performance (cognitive capacity) of the hearing system user is determined in the respective current situation. A hearing device parameter and/or a hearing device performance of the hearing device is then set on the basis of the hearing effort determined. The combined analysis of movement data and acoustic data enables the hearing effort to be determined reliably, as a result of which a particularly suitable and situation-adapted setting of the hearing aid is made possible.

Here and in the following, the specific "measure of the listening effort" is also abbreviated as "listening effort", whereby the explanations and descriptions Exercises relating to the determined listening effort relate in particular to the determined level of listening effort.

Appropriately, the determination or characterization of the acoustic environment situation essentially takes place parallel to the recording of the movement data.

The hearing device settings (hearing device parameters, hearing device performance) are preferably set on the basis of the hearing effort or the measure determined for this purpose in such a way that the hearing effort in the hearing situation is reduced, in particular minimized.

In an advantageous embodiment, the listening effort is compared with a stored threshold value, for example, with the hearing device settings being changed if the threshold value is reached or exceeded. This defines a certain de minimis limit, so that switching over or adjusting the hearing device too frequently is avoided. Equally conceivable is, for example, a gradual change or adaptation of the hearing device settings to an increasing or lasting hearing effort.

It is possible, for example, for preset hearing device parameters and/or hearing device performance to be stored as different (operating) programs or working modes in a memory of the hearing device, with switching between these working modes or programs depending on the listening effort.

Additionally or alternatively, however, a listening effort-dependent adjustment or change of individual hearing device parameters and/or the hearing device performance for such a working mode or such a program is also conceivable.

A determination of a listening effort based on movement data is, for example, in the publications Helper et al., Postural Control While Listening in Younger and Middle-Aged Adults, March 2020, Ear and Hearing 41 (5): 1, and in Carr et al., Effectos of age on listening and postural control during realistic multitasking conditions, October 2020, Human Movement Science 73:102664, be- wrote. According to the invention, such a movement analysis is supplemented with the information from the characterization. The invention is based on the knowledge that a change in body movements in everyday life is not only influenced by listening effort, but can also be influenced by other parameters. However, if the observed change occurs specifically in a difficult listening situation (eg poor signal-to-noise ratio, noisy environment or high volume), the influence can be limited to a listening effort. This means that the characterization of the environmental situation is essentially used as a plausibility check for the movement analysis in order to determine a particularly reliable measure of a listening effort.

In a conceivable embodiment, the setting is made, for example, in the form of a feedback or control loop, in which the hearing device parameters and/or the hearing device performance are set in such a way that the listening effort is minimized.

An embodiment is also conceivable, for example, in which the movement data is analyzed over a defined or predetermined period of time with a certain characterization, i.e. with a specific signal-to-noise ratio and/or with a specific signal level of the acoustic data, and in which the hearing aid is adjusted when the listening effort exceeds the specified threshold value over a longer period of time, for example. This means that the settings of the hearing aid are only changed when a (permanently) increased mental effort (effort) is inferred from the listening effort determined.

In a conceivable application, a probability of a future fall event of the hearing system user is determined on the basis of the listening effort. In other words, the listening effort is evaluated with regard to a fall risk, in particular the fall risk is thus a fall or fall probability or a measure for this is predicted or (estimated). Under a fall or fall event of the hearing aid user is here to understand a fall or a fall, ie a fall or falling over or falls, of the person wearing the hearing aid.

Here and in the following, "forecast" or "forecast" is to be understood in particular as a forward-looking assessment, i.e. a prediction, in which a future or expected fall risk is determined on the basis of current and/or past movement data - if necessary with the addition of mathematical or physical models is calculated or predicted, which occurs with a sufficient probability. Which probability is considered sufficient and how large the probability actually is is initially irrelevant. This can be determined, for example, from past movement data or from corresponding experiments or trials. For different people, there may be different predicted fall risks due to different ages, health conditions or body dimensions.

Here and in the following, "estimate" or "estimate" means an approximate determination of the probability of falling by evaluating the movement data, for example by pattern recognition, pre-characterized measurements, stored tables or characteristic curves, or by means of statistical-mathematical methods.

Here, for example, a perceptible signal is generated as a fall or fall warning (warning signal) when the probability or the risk of falling reaches or exceeds a stored threshold value. In other words, a warning is generated for the hearing system user if there is a sufficiently high risk of falling. Which probability or risk of falling is considered sufficient and how large the probability actually is is initially irrelevant. This can be determined, for example, from past movement data or listening efforts or from corresponding experiments or trials. There may be different threshold values for different people due to their different age, state of health or body dimensions. This application is based on the knowledge that the specific listening effort is a measure of mental exertion or stress or cognitive performance (cognitive capacity) of the hearing system user. A risk of falling can change as a result of increased listening effort. However, a change in the risk of falling can also have an effect on listening effort, since, for example, more (mental) resources are directed towards an unconscious correction of the gait, which is therefore missing when hearing.

The probability is preferably determined by analyzing the movement data, for example taking the characterization into account. The probability of falling can be determined, for example, in parallel with the determination of the listening effort, or it can be downstream of it, so that the results of the listening effort can be taken into account when determining the probability.

The movement sensor in the hearing aid, which is worn to compensate for a hearing impairment, is thus used according to the invention to monitor the movement pattern of the hearing aid wearer, and from this a hearing effort is determined. A core idea of the invention is therefore in particular to detect the movements of the hearing system user (e.g. walking, turning, etc.) using the hearing aid, and to analyze the detected movements and evaluate them with regard to a hearing effort.

The hearing aid has a memory, for example, and is designed to store the movement data recorded by the movement sensor within a time window in the memory and to evaluate the hearing effort at a later point in time (monitoring). The hearing device is thus designed, for example, to store time-limited excerpts of the movement sensor signal in the memory and in particular to output them for determining the hearing effort. The hearing aid thus has a recording function for the movement data (recording). Appropriately, the recorded movement data from the memory can also be sent to an external Internal data source transferrable. The time window has, for example, a length of at least 1 min (minute) up to 1 d (day), a length in the range of 1 h (hour) to 12 h being particularly preferred. However, other lengths are also suitable. In particular, a time window is used which corresponds to the wearing time of the hearing device. This means that the recording starts when the hearing aid is put on and stops when the hearing aid is removed.

Equally conceivable is event-based recording and evaluation, for example, in which an (operating) algorithm records, for example, whether and when the hearing system user is running. If no running is detected, a simple and power-saving mode preferably takes place, with the sampling rate being increased in the event of running and further calculations, analysis and storage based on the raw sensor data taking place. This means that the time window can be set/triggered dynamically based on detected body movements. This enables a longer observation Z evaluation window, for example over a day.

It is also possible, for example, to provide a periodic or regular time window for monitoring and evaluation, for example only a maximum of one period per day or week is recorded, with an algorithm recording a time window of, for example, 10 minutes only once a week.

For example, macro and micro events are used to analyze movements and determine the listening effort, which characterize the gait of the hearing system user and are also categorized into rotations and transitions between the movements.

Here and in the following, a “micro-event” is to be understood in particular as a characterization of (movement) features of a movement, ie a movement sequence or a movement pattern. Here and in the following, a "macro event" means in particular several movements or movement groups within a time interval, for example on a day, i.e. a movement sequence or sequence of movements.

A macro event is understood here, for example, as the number of steps per time interval, ie the number of steps per day or the number per action in the case of a predefined test to characterize the intensity (cadence, step frequency).

A macro-event is also to be understood as an absolute and relative time expenditure per classified activity, that is to say, for example, walking time spent per day, a percentage of walking and non-walking, an absolute duration of the longest walk or the like. This is based on the finding that total walking time is often reduced for hearing-strained individuals compared to non-hearing-strained individuals. Furthermore, a total time spent on so-called sedentary behavior is usually longer for hearing-strained individuals.

Macro events are still behaviors with little movement, such as standing, sitting or lying down. These can be, for example, in terms of a total time that is spent on each of these behaviors per day, for example. Likewise, a duration for adopting these behaviors, i.e. a duration for sitting down or standing up, can be used to characterize these behaviors. In this case, for example, a mean value or maximum or percentile, in particular a 90% percentile, can be determined from a number of standing up or sitting down movements for the purpose of qualification. Furthermore, a variability of the time per day and duration of the sedentary behavior can be taken into account.

Macro events are also to be understood, for example, as a variance in movements from day/action to day/action over a period of time in order to characterize the quality of the movements. For example, a longer-term increase in listening effort, e.g. due to progression of dementia, is characterized by an increase in day-to-day variability in gait patterns, from which listening effort can be derived. A micro-event is, for example, the speed of a movement, for example a step speed or "gait speed", or a step-swing time variability. Individuals with higher listening effort walk more slowly, so a change in listening effort can be characterized by a change in walking speed. The walking speed can be analyzed in predefined (time) intervals, for example less than 10 s (seconds), 10 s to 60 s, 60 s to 120 s, longer than 120 s accurate measurement or determination of speed in meters per second (m/s) is not required. To determine the tempo or speed, the movement data can be analyzed as raw values or in the form of effective values.

A step movement (pace), for example the step length, is also to be understood as a micro-event. The stride length can decrease with increased listening effort, so that a hearing effort can be predicted from a determination or estimation of the stride length. A stride length estimation for hip or chest worn motion sensors is described, for example, in the publication Analog Devices Application Note, AN-602 entitled "Using the ADXL202 in Pedometer and Personal Navigation Applications" by H. Weinberg.

A micro-event is also understood to mean, for example, a rhythm of the movement, for example step, swing and standing time, or an asymmetry of the movement, for example a step, swing and standing time variability. In the case of an asymmetry, for example, the step, swing and standing time variability as parameters can characterize a movement characteristic called "gait smoothness", i.e. a "step-to-step" symmetry, a walking stability, or a harmonious relationship (Engl.: harmonic ratio, HR).

If the procedure is used, for example, as part of a diagnosis or treatment of ANS disorders, a heart rate can be measured parallel to the procedure. frequency of the hearing system user can be analyzed separately, for example anteroposterior (AP), medio-lateral (ML) and superior-inferior (V) according to the walking direction. For example, the heart rate is reduced in the early stages of dementia, with changes in Parkinson's being significantly correlated with the patient's cognitive status, ie in particular the heart rate in the AP direction.

A posture check for monitoring a body posture of the hearing system user can also serve as a micro-event. For example, a stride or stride length asymmetry is used to check posture characteristics and/or (posture/movement) stability of the hearing system user.

A micro-event is, for example, a variability in step length and/or step speed within and between different movement patterns, for example when taking a walk.

Furthermore, a variability of a standing and/or step time is to be regarded as a micro-event, which can also take place between and within comparable actions or movements.

A micro-event can also be another variability in the gait pattern, characterized by spectro-temporal (power) distribution patterns in different frequency bands for each direction (i.e., antero-posterior (AP) corresponding to the running direction, medio-lateral (ML) and superior-inferior (V)) or are characterized by autocorrelations in dominant dimensions.

The temporary changes in user-typical variances of the above-mentioned "features" or movements (variability in step length and/or step speed, variability in standing and/or step time, variability in gait pattern) can characterize compensatory balance reactions of the hearing system user, which are necessary to prevent falls to avoid. Such compensatory equilibrium responses may be characterized, for example, as "misstep" stumbling, slipping, or stumbling, wherein for example, with an increase in the frequency of such compensatory equilibrium reactions, a higher listening effort results.

The movement analysis also evaluates the twisting or rotating behavior of the hearing system user. In the case of rotary movements, persons with increased listening effort usually show a longer rotation time, they also perform rotary movements less frequently and show inconsistent rotary angles with great variance for the same movements. Increased listening effort can also be reflected in a reduced consistency both in the angular size of the turning/rotating movement and in the timing of a large turn over days.

In order to analyze or evaluate the turning behavior, the following features are extracted and/or analyzed from the movement data, for example: the turning time, turning speed peak, a number of steps during turning, a turning angle in categories (quarter, half, full turn; or comparable categories of turning angles), a number of rotations per category above per day, a variance in the number, angle and/or speed of rotations over consecutive days. In the case of binaurally used hearing aids, the features of the individual devices extracted from the movement data can be combined with one another in order to better characterize the turning.

In the movement analysis, transitions between movements and/or combinations of movements are preferably also taken into account in order to determine the listening effort. For example, an overall distribution of different movement activities, i.e. a distribution of the macro events, is analyzed. An analysis of the variance of an activity pattern over time is also conceivable. Furthermore, for example, a duration of transitions, ie a longer sitting-to-sitting, or transitions from walking to sitting is recorded, with changes in the transitions or the duration of the transitions being able to indicate increased listening effort. Furthermore, an analysis of a time interval between two or more movement events, for example when climbing stairs, is also conceivable. The movement data can also be the alignment or orientation of the motion sensor can be evaluated before and after a motion event.

The movement data can be recorded and evaluated at discrete time intervals, for example. Preferably, however, during the operation of the hearing system, in particular while the hearing aid is being worn or during the time window, the movement data is recorded and analyzed in a substantially continuous or uninterrupted manner. In this context, essentially continuous or uninterrupted means in particular quasi-continuous, i.e. that, for example, in the case of digital detection and evaluation, the measuring frequency/speed of the motion sensor is higher, in particular at least twice as high as the frequency or speed of a body movement to be detected.

(Continuous) assessment using motion sensor information in hearing aids shows improved diagnostic accuracy of natural or disturbed behavior compared to other methods of assessing gait/turning patterns.

In addition, the method according to the invention is comparatively economical since only wearable sensors are used in a device that is worn anyway in order to compensate for the hearing loss. The method according to the invention thus implements an advantageous functional expansion of the hearing device in addition to supplying a hearing-impaired user.

Compared to environmental sensors installed in buildings, such as cameras, information or movement data from wearable hearing aid sensors have greater benefits beyond the living space, in particular it is not necessary for the user to be in a monitored environment, as he carrying the sensor system around with you.

Due to the method according to the invention, it is also not necessary for the hearing system user to carry an additional device with them in the event of an ANS disorder got to. In other words, there is no additional burden of using any device other than the hearing aid. This can thus also contribute to convincing people who are only slightly hearing-impaired to use a hearing aid to improve the quality of life and to prevent injuries and/or to monitor the risk of falling.

Hearing aid-assisted diagnostics using the method according to the invention could also benefit the assessment of disorders according to clinical protocols, in which time and patterns for dedicated actions (for diagnostic purposes) are analyzed. Such protocols include, for example, sitting down, standing up (chair-standing test), standing with eyes open and closed, or structured test procedures such as the so-called Tinetti test (see, for example, Tinetti ME, Performance-oriented assessment of mobility problems in elderly patients, J Am Geriatr Soc 1986;34:119-126).

In an advantageous embodiment of the method, personal health data of the hearing system user are stored in a memory of the hearing system, with the hearing effort being determined using the stored health data. This means that the stored health data is also taken into account when evaluating or analyzing the movement data to determine the hearing effort.

This embodiment of the method is based on the knowledge that, for example, age-related disorders or ANS disorders change several main features of the gait pattern. This enables a particularly reliable and reliable assessment or determination of the hearing effort, so that a suitable setting of the hearing device is always ensured.

In other words, the recorded movement data is analyzed together with other (available) information about the user (ie cognition, hearing, environment, cardiovascular status) to allow user-specific characterization. This characterization is used to predict changes in listening effort associated with specific disorders ments, but also used to monitor the progression of these disorders.

Health data includes personal information about the hearing system user, in particular physiological and medical/health data about the hearing system user, such as age, height, leg length/stride length, body weight, cardiovascular status, cognitive status, hearing ability, activity of your own voice, tinnitus, to understand. This enables a reliable determination of the micro and macro events in the course of the movement analysis of the movement data.

The health data preferably also includes information about a health-related movement impairment of the hearing system user. A "health-related movement impairment" is to be understood here in particular as a medical illness, a health handicap or a state of health of the hearing system user, which temporarily impairs or restricts his movements and thus (temporarily) causes an increase in listening effort. Such a condition may be, for example, an injury that requires the use of a walker or walker. In particular, this also means a disease in the form of a cognitive disorder, in particular a disorder of the autonomic nervous system (ANS), such as hearing loss, dementia, epilepsy or Parkinson's disease.

The stored health data makes it possible, for example, to carry out the movement pattern analysis with regard to dementia or dizziness, and thus to enable a more precise determination of the listening effort.

The stored health data provides a more comprehensive picture of the hearing system user for the movement analysis and hearing effort determination, since not all information about an impairment of the cognitive/mental effort is in their specific gait pattern. Furthermore, it is possible for a hearing aid user to suffer from more than one disorder. Around In other words, to find optimal solutions and avoid wrong attributions, it is necessary to consider as much available information as possible beyond gait patterns and their changes when determining the listening effort. Furthermore, this increases the stability and reliability of the predictions and avoids misclassifications in the case of noisy data.

If available, data from other sensors coupled to the hearing instrument, such as photoplethysmography (PPG), electroencephalography (EEG), or electromyography (EMG), can also be taken into account, which, for example, provide information about the cardiovascular status (i.e. frequency, heart rate variability) or provide load measurements.

In addition or as an alternative, it is possible, for example, to set or change a hearing device parameter and/or a hearing device performance of the hearing device as a function of the stored health data. In a suitable embodiment, for example, the “classification” for the automatic hearing device program is adjusted depending on the user profile (health data), which leads to an adjusted and suitable hearing device output.

For example, people with mild cognitive impairments or dementia also suffer from poor concentration, i.e. they have difficulty keeping focus or are easily distracted. If the gait analysis performed by the hearing aid detects a progression of mild cognitive impairment or dementia based on increased listening effort, the hearing aid performance can be adjusted for better orientation in complex acoustic environments.

For example, beamforming or a beamform pattern of the hearing device is set. “Beamforming” is understood to mean, in particular, a directional characteristic of the hearing aid, that is to say that directional hearing is implemented, so that sound sources from a specific direction are amplified relative to other directions. A beamformer is used for this, which transmits the input signals nals of several different input transducers (microphones), in particular of the same individual hearing aid (individual device), are suitably combined to form an output signal.

To compensate for lack of concentration or distractibility, it is possible, for example, for the rear hemisphere to adjust the compression during signal processing by lowering the first knee point and increasing the compression ratio. The compression system for the front hemisphere can remain unchanged. In addition, the noise reduction can be parameterized for a stronger effect. This exemplary setting of the hearing aid setting Z-parameter allows for easier focusing and less distraction from acoustic input from the rear.

In the field of hearing aids, for example, compression represents a way of adapting the hearing signal to the limited hearing ability of a hearing-impaired person. The hearing ability of a hearing-impaired person has a limited dynamic range, so that small input levels have to be amplified a lot. For high input levels, however, the amplification has to be lowered because the auditory signals amplified in this way are otherwise perceived as uncomfortably loud. The compression of the dynamics of the audio signal counteracts this through amplification with a level-dependent amplification factor. In most cases, the compression characteristic, represented by the characteristic curve, which indicates the ratio of input level to output level, shows a linear amplification by a constant factor up to a certain threshold value of the input level, while the amplification is reduced depending on the level for input levels beyond the threshold value . If the input level and output level are plotted against each other in decibels, this results in a partially linear progression as a compression characteristic, with the characteristic curve showing a lesser gradient from the threshold value for the input level (knee point).

For optimal treatment of hearing loss, the hearing system parameters that affect hearing aid performance are adjusted accordingly. the anal lyse can also be used to control interventions, which are controlled via an additional device that is signal-linked to the hearing aid, for example via a connected smartphone, in order to enable timely intervention and to facilitate the implementation of individual needs of the hearing system user as well as the hearing efforts to reduce.

Preferably, the hearing aid parameters that affect the hearing aid performance are adjusted based on the determined listening effort. The adjusted hearing aid output (output signal) could be seen as contributing to an intervention (e.g. in dementia or other disorders) as needed. The resulting changed output signal allows, for example, better orientation or a reduction in distractors/deflections or the like. For this purpose, a change in multi-source compression schemes (CK, CR, amplification, attack & release times, noise reduction algorithms) as well as monaural and/or binaural beamformer patterns is made as part of the signal processing.

In a suitable development, the current environmental situation or its characterization is assigned to the current movement data and stored in a memory. As a result, the movement data is linked to the current characterizations and stored, enabling longer-term monitoring and assessment of the listening effort.

In an expedient embodiment, the movement data for a respective characterization are compared with stored movement data and characterizations to determine the listening effort. In other words, a comparison is made with previous analysis results and movement patterns in comparable and/or different hearing situations. As a result, for example, an increased listening effort in an earlier hearing situation can be taken into account for future hearing situations, so that in such hearing situations a particularly effective and rapid determination of the listening effort is made possible. Additionally or alternatively, a comparison with similar other user data, which is stored anonymously in a "cloud", a remote server, or a data storage facility, is possible.

In an advantageous embodiment, a user profile for the hearing system user is created using the stored movement data and characterizations. In other words, the hearing system user is “classified” into a profile using the stored data. This enables daily routine detection to compare a current result with previous results and thus be able to track and record changes. The user profile enables an improved and more robust determination of the listening effort.

An additional or further aspect of the invention provides that the hearing device is designed binaurally and for this purpose has two individual devices, which each have at least one input transducer and at least one output transducer and are thus designed to pick up sound signals from the environment and output them to a user of the hearing device. In addition, each of the individual devices has a motion sensor. Here, the movement data and/or characterizations of the individual devices are evaluated separately from one another and then combined to determine the listening effort.

For example, a wireless interface is provided for data exchange between the two individual devices. The wireless interface is, for example, a Bluetooth interface or a WLAN interface or an ML interface (ML-Link, ML: Magnetic Induction). The Bluetooth interface is, for example, a regular or a low-energy (so-called low-energy) Bluetooth interface.

However, as an alternative to a binaural hearing device, a monaural hearing device with only one individual device is also suitable. The explanations regarding a monaural hearing device can be transferred to a binaural hearing device and vice versa. For example, it is also conceivable that a listening effort is determined for the data of the individual devices. Preferably, however, the movement sensor information and/or characterizations of both individual devices are analyzed separately and then “combined”, whereby complex movement patterns that are associated with increased listening effort can also be identified or recorded. This further improves the determination of the listening effort.

With a binaural hearing device, the two individual devices are worn by the user on different sides of the head, so that each individual device is assigned to one ear. Thus, the left and right motion sensors (3D accelerometers) are spaced from the center of the body so that the information provided by both can be combined to characterize tangential and radial forces indicative of rotation. This makes it possible, for example, to save on a position sensor or a gyroscope. In addition, the two independent sensor outputs enable increased reliability of the movement data. For example, the information for the listening effort assessment is only used when both motion sensors indicate the same event or change.

In a suitable embodiment, the movement data and/or the hearing effort are transmitted to an additional device that is coupled to the hearing device in terms of signaling technology. This makes it possible, for example, to display analyzed symmetries or other key metrics of walking, as well as status and changes in an app, website or software.

The additional device is preferably a mobile operating and display device, for example a mobile phone, in particular a mobile phone with a computer function or a smartphone or a tablet computer. The additional device suitably has stored application software (operating software). The application software (application software) is preferably available as a so-called app or mobile app (mobile app). tion, smartphone app) can be installed or installed on the operating and display device.

This development is based on the consideration that modern operating and display devices, such as smartphones or tablet computers in particular, are widespread in today's society and are generally available and accessible to a user at all times. In particular, it is very likely that the user of the hearing system essentially has such an operating and display device in his household.

Today's smartphones are still equipped as standard with a large number of different near-field and far-field communication means, as a result of which a communication or signal connection to the hearing device can in principle be established in a simple manner. In this case, the application software is preferably also suitable and set up for setting operating parameters of the hearing aid, such as a volume. As a result, the user does not need an additional, separate operating system to monitor and adjust the hearing system, but it is possible to (subsequently) download and/or install the application software to use their existing smartphone to evaluate the movement data and determine the listening effort. In this way, user-side costs are advantageously reduced. It is conceivable here, for example, for the health data to be stored in a memory of the additional device or smartphone.

The surfaces of smartphones or tablet computers, which are typically designed as touchscreens (display, display), also allow particularly simple and intuitive operation of the application software of the additional device formed thereby. As a result, a smartphone or tablet computer can be retrofitted particularly inexpensively for monitoring the listening effort.

The operating and display device includes an internal controller, which is at least essentially a microcontroller with a processor and a data Memory is formed, in which the functionality for carrying out the method in the form of the application software is implemented programmatically, so that the method or the determination of the listening effort - if necessary in interaction with the user - is carried out automatically when the application software is executed in the microcontroller.

The additional device can be designed to transmit data from a digital assistant, which is provided by the external data source, to the hearing device. A digital assistant is understood to mean, in particular, a voice control which recognizes the user's voice commands and, depending on the voice command, can and also performs various functions or actions. In other words: the digital assistant is designed in particular for speech recognition, for speech analysis, for searching for information or for processing simple tasks or a combination thereof. In particular, the digital assistant forms an interface between the user and another device, in particular the external data source. In particular, the digital assistant outputs data intended for the user, in particular in the form of speech. This data, i.e. an output from the digital assistant and specifically a voice output from the digital assistant, is then transmitted via the additional device to the hearing aid for output to the user. In this way, feedback and information output from the digital assistant to the user are advantageously made possible. The external data source is specifically here, but also generally preferably the cloud.

It is thus possible via the additional device, for example, to request user feedback based on the analysis or listening effort result. The user feedback could on the one hand refine the action taken by the hearing system when the analysis result is uncertain and/or on the other hand enable an algorithmic improvement of the movement analysis by detecting a label for the recorded movement. Here, the hearing aid "learns" to recognize specific movement variations for the individual user or to improve the classification of movements for the general population based on user feedback. The feedback can by a App, through voice commands or other interactions with the hearing aid.

The analysis results can also be made available to the health care provider and/or a medical expert to support the one-off diagnosis and the continuous monitoring of age-related disorders, as well as to identify specific changes in the movement pattern at an early stage.

The analysis of the movement data and characterization can be carried out in the hearing device and/or remotely in the additional device or smartphone coupled to the hearing device. In the latter case, the raw or pre-processed movement data is preferably sent to the connected smartphone. If the analysis is performed on the smartphone, it is necessary to send the result of the listening effort back to the hearing aid.

In other words, one possibility for carrying out the method is that the necessary processing and evaluation of the movement data for determining the hearing effort takes place in the hearing device. Another possibility is that the hearing aid only collects the relevant movement/acoustic data and characterizations, optionally stores them in a buffer, and sends the raw data (or pre-processed data) for final analysis to the (hearing aid) external auxiliary device or smartphone of the hearing system transmits. Both the computing power of the smartphone and cloud services could be used.

This results in the particular advantage that the hearing device is relieved, so that the demands on the signal processing or electronics in the hearing device are advantageously reduced. The functionality of the movement analysis, in particular the hearing effort determination, can therefore be transferred in whole or in part to the additional device, so that the hearing device correspondingly saves energy. In a conceivable embodiment of the method, when a threshold value is reached or exceeded, measures to reduce the listening effort are displayed on the additional device. In other words, the hearing system user is shown information or suggestions on the additional device which are intended to reduce the listening effort. These measures are also referred to in particular as advice or counseling. A basic idea here is to provide the user with information and suggestions that contribute to a further reduction in the listening effort, but which are not within the sphere of influence of the hearing aid. In other words, an intervention is started on the smartphone to prevent a further increase in listening effort. The intervention can, for example, be issued in the form of a notice to the hearing system user, so that he/she can consult a doctor or hearing system technician.

The hearing system according to the invention is designed in particular as a hearing aid device and has a hearing aid. The hearing device has at least one input converter for receiving an acoustic environment signal and an output converter for outputting an acoustic signal, as well as a movement sensor for detecting a body movement of a hearing system user.

The hearing system also has a controller, ie a control unit. The controller is integrated into the hearing device, for example, and is part of a signal processing system, for example. In addition or as an alternative, it is also conceivable for the controller to be part of an additional device, in particular a smartphone, which is or can be coupled to the hearing aid in terms of signaling.

In this case, the controller is generally set up—in terms of program and/or circuitry—to carry out the method according to the invention described above. The controller is thus specifically set up to analyze or characterize a user movement or a movement event as well as an environmental or auditory situation in order to analyze a change in the auditory effort associated therewith. In a preferred embodiment, the controller is formed, at least in its core, by a microcontroller with a processor and a data memory, in which the functionality for carrying out the method according to the invention is implemented programmatically in the form of operating software (firmware), so that the method - optionally in interaction with a device user - is performed automatically upon execution of the operating software in the microcontroller. Alternatively, within the scope of the invention, the controller can also be formed by a non-programmable electronic component, such as an application-specific integrated circuit (ASIC), in which the functionality for carrying out the method according to the invention is implemented with circuitry means.

Exemplary embodiments of the invention are explained in more detail below with reference to a drawing. It shows in schematic and simplified representations:

1 shows a hearing system with a binaural hearing aid,

FIG. 2 shows the hearing system according to FIG. 1, in which the hearing device is coupled in terms of signaling to a mobile additional device, and FIG

3 shows a flowchart of a method for operating the hearing system, FIG. 4 shows two time-acceleration diagrams for a sit-stand test, FIG. 5 shows two time-acceleration diagrams for a rollover test, and FIG -Acceleration charts for a standstill test.

Corresponding parts and sizes are always provided with the same reference symbols in all figures.

1 shows the basic structure of a hearing system 2 according to the invention. In this exemplary embodiment, the hearing system 2 is designed as a hearing aid device with a binaural hearing device 4 with two hearing aid devices or individual devices 6a, 6b coupled in terms of signaling. The individual devices 6a, 6b are in this case configured as behind-the-ear hearing aid devices (BTE). The individual devices 6a, 6b are coupled or can be coupled to one another in terms of signal technology by means of a wireless communication link 8. The communication connection 8 is, for example, an inductive coupling between the individual devices 6a and 6b; alternatively, the communication connection 8 is designed, for example, as a radio connection, in particular as a Bluetooth or RFID connection, between the individual devices 6a and 6b.

The structure of the individual devices 6a, 6b is explained below using the example of the individual device 6a. As shown schematically in FIG. 1, the individual device 6a comprises a device housing 10 in which one or more microphones, also referred to as acousto-electric input converters 12, are installed. A sound or the acoustic signals in the surroundings of the hearing system 2 are recorded with the input converters 12 and converted into an electrical audio signal as acoustic data 14 .

The acoustic data 14 are processed by a signal processing device 16 which is also arranged in the device housing 10 . The signal processing device 16 uses the audio signal 14 to generate an output signal 18 which is routed to a loudspeaker or earpiece 20 . The earphone 20 is designed as an electro-acoustic output converter 20, which converts the electrical output signal 18 into an acoustic signal and outputs it. In the case of the BTE individual device 6a, the acoustic signal is transmitted to the eardrum of a hearing system user, optionally via a sound tube (not shown in detail) or an external receiver with an otoplastic seated in the auditory canal. However, it is also conceivable, for example, to use an electromechanical output converter as the receiver 20, such as in the case of a bone conduction receiver.

The individual device 6a and in particular the signal processing device 16 are supplied with energy by means of a battery 22 accommodated in the device housing 10.

The signal processing device 16 is equipped with a motion sensor 24 of the

Coupled individual device 6a. The motion sensor 24 detects acceleration during operation tilting and/or rotational movements of the individual device 6a and sends these during operation as movement data 26 to the signal processing device 16. The movement sensor 24 is designed, for example, as a 3D acceleration sensor. Additionally or alternatively, the motion sensor is designed as a position sensor, in particular as a gyroscopic sensor.

The signal processing device 16 is also routed in terms of signals to a first transceiver 28 and to a second transceiver 30 of the individual device 6a. The transceiver 28 is used to send and receive wireless signals via the communication link 8 and the transceiver 30 is used to send and receive wireless signals via a communication link 32 to an auxiliary device 34 external to the hearing aid (FIG. 2). For example, it is also conceivable that only one transceiver for both communication links 8, 32 is provided.

In the exemplary embodiment in FIG. 2 , the additional device 34 is designed as a separate, mobile, operating and display device, which is or can be coupled in terms of signals to the hearing aid 4 by means of the communication connection 32 . The additional device 34 shown schematically in FIG. 2 is in particular a smartphone. The additional device 34, also referred to below as a smartphone, has a touch-sensitive display unit (display) 36, which is also referred to below as a touch screen. In this case, the smartphone 34 is expediently brought into the transmission range of the communication link 32 . The signaling coupling between the smartphone 32 and the transceivers 30 of the individual devices 6a and 6b takes place here via a corresponding integrated transceiver (not specified), for example a radio or radio antenna, of the smartphone 32.

The smartphone 34 has an integrated controller, which is essentially formed by a microcontroller with an implemented application software 38 for programmatic evaluation of signals and data transmitted by means of the communication connection 32 . The application software 38 is preferably a mobile app or a smartphone App that is stored in a data memory of the controller. During operation, the controller displays the application software 38 on the display unit 36 embodied as a touchscreen, with the application software 38 being operable by a hearing system user 2 using the touch-sensitive surface of the display unit 36 .

A method 40 according to the invention for operating the hearing system 2 is explained in more detail below with reference to the flowchart shown in FIG. 3 .

The method 40 is particularly suitable and set up to automatically set particularly suitable hearing device settings in a particular hearing situation. During normal operation of the hearing aid device 2, the individual devices 6a and 6b of the hearing aid 4 are worn on the ears of the hearing system user. In this case, the individual devices 6a and 6b are coupled by means of the communication links 8 for mutual signal transmission. The individual devices 6a and 6b are still optionally coupled to the smartphone 34 in terms of signaling by means of the communication connection 32 .

According to the method, a movement of the hearing system user 2 or a movement event is analyzed and/or characterized. Furthermore, the current acoustic environment situation is characterized on the basis of the audio signals 14 . This characterization preferably takes place parallel to the evaluation of the movement data 26. A hearing effort or a measure for this is determined on the basis of the movement data and characterization. Based on the listening effort, the hearing device settings of the individual devices 6a, 6b are then adjusted in such a way that the hearing system user 2 has as little listening effort as possible.

The method is preferably carried out at least partially by a controller, the method being carried out in the hearing aid 4 and/or in the smartphone 34, for example. In other words, the controller is part of the signal processing 16 or the smartphone 34, for example Smartphone 34 is running, so that both the hearing aid 4 and the smartphone 34 have such a controller. For this purpose, data are sent via the communication connection 32 from the hearing aid 4 to the smartphone 34 and back.

The analysis and evaluation of the movement can, for example, take place in several steps, so that a particularly safe and reliable determination of the listening effort is made possible. 3 shows a sequential order of a number of method steps, in which case the steps can be carried out, for example, at least partially in a different order and/or also at least partially in parallel.

For example, in a method step 42, the movement data 26 are first recorded and evaluated. This means that the movement of the hearing system user 2 in a current situation is analyzed using the movement sensor 24 . The analysis or evaluation is carried out separately for the two individual devices 6a, 6b, for example, or the movement data 26 from the two individual devices 6a, 6b are analyzed in combination.

In a method step 44, the current acoustic environment situation is characterized on the basis of the audio signals 14. The current characterization of the surrounding situation is suitably assigned to the current movement data 26 and stored in a memory that is not shown in detail.

In a method step 46, the current movement data 26 and characterization are compared, for example, with previous or stored movement data 26 in comparable and different environmental situations, in order to determine, for example, deviations or abnormalities in the movement pattern. Such deviations or abnormalities are an indication of increased listening effort.

In an optional step 48, for example, user feedback based on the result of step 44 is requested. This is done, for example, using the application software and/or using voice commands. This feedback is requested, for example, when an unknown movement pattern and/or an unknown acoustic environment is detected.

Personal health data of the hearing system user are preferably stored in a memory of the hearing system 2 . In a method step 50, this health data is taken into account in the movement pattern analysis and/or characterization. For example, a movement pattern analysis of the movement data 26 with regard to dementia or dizziness takes place here.

In the optional method step 52 - if available - an input or an input from other sensors coupled to the hearing system 2, such as photoplethysmography (PPG), electroencephalography (EEG), electromyography (EMG), is recorded, which, for example, provides information about the cardiovascular Provide hearing aid user 2 status (i.e. rate, heart rate variability) and/or stress measurements.

In a method step 54, which is also optional, the current movement data 26 is compared with other similar user data, which is stored anonymously, ie cannot be assigned to a user, in a cloud. In this case, method step 54 corresponds, for example, to method step 46, which does not involve stored data from the hearing system user 2 himself, but rather data from other users which can be called up in the cloud. As a result, comparable data from other users can also be taken into account for determining the listening effort, as a result of which a more robust and reliable determination of the listening effort is provided.

In a method step 56, a user profile for the hearing system user is created using the stored movement data and environmental situations. In other words, the hearing system user is “classified” into a profile using the stored data. This enables a daily routine detection to compare a current result with previous results and thus changes be able to track and record genes. The user profile enables an improved and more robust determination of the listening effort.

In a method step 58, the hearing device settings, ie hearing device parameters and/or hearing device power, are adjusted as a function of method steps 46 and/or 54. The adjusted hearing aid output can be used as a contribution to fall intervention or fall prevention (e.g. in the case of dementia or other disorders). Changing hearing aid settings can help improve orientation and/or reduce distractors, thereby reducing the risk of falls and listening effort.

In a conceivable embodiment of the method, when a threshold value is reached or exceeded, measures to reduce the listening effort are displayed on the additional device. In a method step 60 , the hearing system user 2 is offered treatments or tips depending on the movement data 26 and/or the listening effort, which are provided by the application software 38 of the smartphone 34 .

In a method step 62 , based on the evaluated movement data 26 , changes in the movement patterns and/or the listening effort and a current status are shown on the display unit 36 of the smartphone 34 . As a result, the hearing system user 2 can monitor his hearing effort himself. This is particularly advantageous if the method is used to monitor a further ANS disorder in the hearing system user 2, so that the hearing system user 2 can monitor his state of health or the course of his illness without having to visit a doctor.

In a method step 64, a "classification" for the hearing aid is adjusted depending on the user profile, providing an improved output for the hearing system user 2. This means that the stored default settings of the hearing aid 4 are adapted for different environmental situations based on the user profile created in step 56 , in order to minimize the listening effort in these situations method step 58, in which the current hearing device settings are adjusted, in method step 64 the hearing device settings, which are assigned to the different acoustic environmental situations, are modified. As a result, when the environment changes in the future, hearing device settings that have already been improved are used with regard to the listening efforts.

In an optional method step 66, the movement analysis and the listening effort are transmitted to a healthcare provider, for example a doctor or a medical specialist. This enables, for example, remote monitoring of ANS disorders in the hearing system user. This method step 66 is preferably only carried out if the hearing system user has given a corresponding consent or release.

Movement data 26 for different movement events are shown below with reference to FIGS. The movement data 26 are here recorded with a binaural hearing aid 4, which is equipped with a movement sensor 24, in particular a 3D acceleration sensor. The figures show the movement data 26 for "stationary exercises". The movement data 26 of FIG. 4 shows getting up from a chair, ie a movement transition from sitting to standing. FIG. 5 shows the signal or data profile for a rotation test, and FIG. 6 shows movement data 26 for a standstill test.

4 comprises two sections 68, 70 arranged vertically one above the other, each showing a time-acceleration diagram. In the sections 68, 70, the time t, for example in seconds, is plotted horizontally, ie along the abscissa axis (X-axis), and an acceleration B is plotted along the vertical ordinate axis (Y-axis). Positive acceleration values correspond to acceleration and negative acceleration values to deceleration. Sections 68, 70 show raw measurement data from a 3-axis accelerometer (3D acceleration sensor), normalized to the earth's gravity G (1 G=9.81 m/s ² ). In the sections 68, 70, the movement data 26 are represented by three curves 72, 74, 76, the curve 72 the acceleration B along an X direction, and the curve 74 the acceleration B along a Y direction, and the Trace 76 shows the acceleration B along a Z-direction.

The X, Y, and Z directions here relate, for example, to the three main sets of body planes, ie transverse planes (XY), frontal planes (YZ), and sagittal planes (XZ). The abscissa axis (X axis, X direction) is, for example, along the sagittal direction (front, back) and the ordinate axis (Y axis, Y direction) is along the transverse direction (left, right) and the applicate axis (Z -axis, Z-direction) oriented along the longitudinal direction (up, down).

The sections 68, 70 show the movement data 26 for two situations, with only the monaural movement data for one of the individual devices 6a, 6b being shown, for example the individual device worn on the left ear.

The curves 72, 74, 76 in section 68 show the movement data 26 for the case in which the hearing system user gets up from a chair twice in a row in the normal way and then sits down again.

Section 70 shows the same curves for standing up and sitting down twice, with the hearing system user supporting himself on an armrest in order to simulate a one-sided disability.

In the normal case of section 68, accelerations are visible along the Z and X directions. The X component is due to accelerations from the forward leaning of the body, while the Z component describes accelerations from lifting or moving the body. In the armrest supported case of section 70, the X component is similar to the first case. However, the Z component is much less pronounced. In addition, there is also a Y component, which shows that there is a significant movement aside. Overall, the time span for the sequence for the supported case also takes longer (1-2 seconds) compared to the normal case (<1 second).

By evaluating and analyzing the movement data 26 or the curves 72 , 74 , 76 , it is thus possible to quantify and differentiate between different types of standing up/sitting with hearing systems 2 that are equipped with an accelerometer 24 .

5 comprises two sections 78, 80 arranged vertically one above the other, each showing a time-acceleration diagram. In the sections 68, 70, the time t, for example in seconds, is plotted horizontally, ie along the abscissa axis (X-axis), and an acceleration difference AB is plotted along the vertical ordinate axis (Y-axis). The acceleration difference AB is the difference between the accelerations of the left and right individual devices 6a, 6b, i.e. the binaural difference, which means the acceleration of the left device minus the acceleration of the right device, with the acceleration difference AB being normalized to gravity G.

In sections 78, 80, the movement data 26 are represented by three curves 82, 84, 86, with curve 82 showing the acceleration difference AB along the X direction, and curve 84 showing the acceleration difference AB along the Y direction, and the Curve 86 shows the acceleration difference AB along the Z direction.

A person's rotational behavior is related to the listening effort. Sections 78, 80 here show the ability to measure approximately 90° body rotations with accelerometer data for a binaural setup. Sections 78, 80 show the movement data for the rotation sequence 90° left, 90° right, 90° left, 90° right. Traces 82, 84, 86 of section 78 show the motion data for normal speed rotations and traces 82, 84, 86 of section 80 show the motion data for slow speed rotations.

In the normal velocity case of section 78, clear acceleration peaks are visible in the X and Y components, representing the tangential and radial forces of body rotation. In the slow speed case of section 80, the peaks are less pronounced or imperceptible.

Figure 5 shows that normal speed body rotations can be distinguished from slow speed body rotations using only a binaural setup and accelerometer. When the body rotates at normal speed, the maneuver is recognized reliably and qualified (speed, duration, angle of rotation).

6 has three sections 88, 90, 92 arranged horizontally next to one another, each of which shows a two-dimensional acceleration diagram. In the sections 88, 90, 92 there is an acceleration Bx in the X direction horizontally, ie along the abscissa axis (X axis), and an acceleration By in the Y direction in units along the vertical ordinate axis (Y axis). plotted against gravity G.

Sections 88, 90, 92 show a standing test in which a hearing aid user balances their body while standing normally. Sections 88, 90, 92 show a time course 94 of the accelerations for a measurement duration of approximately one minute (1 min) for a healthy test person. Section 88 shows normal standing, while section 90 shows standing with the subject's eyes closed. The movement data of section 92 show one-legged standing, ie standing on one leg, with eyes open.

Sections 88, 90, 92 show the mean-free accelerometer data in the XY plane for a monaural accelerometer, respectively. By- Perfect balancing skills would result in a point at the origin (0, 0). Large swings in the curves indicate a greater need to regulate balance.

The motion data of section 88 shows a cluster centered at the origin, with a flat overall shape. The motion data shows greater variation in the X than in the Y component, which corresponds to a dominant left/right fluctuation and less pronounced forward/backward fluctuations.

The motion data of section 88 shows two clusters distributed around the origin. Due to the closed eyes, there is no visual reference point, and balance is maintained only through the balance system. This causes the subject to fall into semi-stable states until the fluctuations become too large and stabilize in another semi-stable state.

The motion data of section 90 shows a cluster close to the origin. The overall shape of the cluster is more circular compared to standing (section 88), with left/right and anterior/posterior fluctuations indicating more dynamic muscular regulation to maintain balance.

For example, it is conceivable within the scope of the method 40 to carry out at least the normal standing scenario every day, with deviations from the typical results indicating, for example, a bad day with increased listening effort.

The invention is not limited to the exemplary embodiments described above. On the contrary, other variants of the invention can also be derived from this by a person skilled in the art without departing from the subject matter of the invention. In particular, all in connection with the implementation games described individual features can also be combined with each other in other ways without departing from the subject matter of the invention.

Reference List

2 hearing system

4 hearing aid

6a, 6b single device

8 communication link

10 device housing

12 input converters

14 acoustic data/audio signal

16 signal processing signal

18 output signal

20 output converters

22 battery

24 motion sensor

26 movement data

28, 30 transceivers

32 communication link

34 Auxiliary Device/Smartphone

36 display unit

38 application software

40 procedures

42 ... 66 process step

68, 70 section

72, 74, 76 history

78, 80 section

82, 84, 86 history

88, 90, 92 section

94 course t time

B, Bx, By Acceleration

AB acceleration difference

Claims

Claims Method (40) for operating a hearing system (2) which is a hearing aid

(4) with at least one input converter (12) and with one output converter (20) and with a movement sensor (24),

- in which a movement of a hearing system user is detected as movement data (26) of the movement sensor (24),

- in which an acoustic situation surrounding the hearing device (4) is recorded as acoustic data (14) of the input transducer (12),

- in which a characterization of the acoustic environment situation takes place on the basis of the recorded acoustic data (14),

- in which a measure of a hearing effort of the hearing system user (2) is determined on the basis of the recorded movement data (26) and the characterization, and

- In which a hearing aid parameter and/or a hearing aid performance of the hearing aid (4) is set as a function of the hearing effort determined. Method (40) according to Claim 1, characterized in that personal health data of the hearing system user are stored in a memory of the hearing system (2), and that the hearing effort is determined on the basis of the stored health data. Method (40) according to claim 1 or 2, characterized in that

- that the movement data (26) are assigned to the characterization and stored in a memory. Method (40) according to Claim 3, characterized in that that the movement data (26) for a respective characterization are compared with the stored movement data and characterizations for the determination of the listening effort. Method (40) according to Claim 3 or 4, characterized in that a user profile for the hearing system user is created on the basis of the stored movement data and characterizations. Method (40) according to one of claims 1 to 5, wherein the hearing aid (4) is binaural and has two individual devices (6a, 6b) for this purpose, and wherein each of the individual devices (6a, 6b) has a motion sensor (24), characterized characterized in that the movement data (26) and characterizations of the individual devices (6a, 6b) are evaluated separately from one another and then combined to determine the listening effort. Method according to one of Claims 1 to 6, characterized in that the movement data (26) and/or the listening effort are/are transmitted to an additional device (34) which is coupled to the hearing device (4) in terms of signals. Method according to claim 7, wherein the additional device (34) is a mobile display and operating device, characterized in that measures to reduce the listening effort are displayed on the additional device (34) when a threshold value is reached or exceeded. Hearing system (2), in particular hearing aid device, having a hearing aid (4) with at least one input converter (12) for receiving an acoustic environment signal, and with an output converter (20) for outputting would give an acoustic signal, as well as with a movement sensor (24) for detecting a movement of a hearing system user and with a controller for carrying out a method according to one of Claims 1 to 8.