Hearing aid and a method of managing a logging device
AssigneeWidex A/S
InventorJakob Nielsen
Life of this patent
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Abstract
A hearing aid (1) and a method of managing data stored in a logging device in a hearing aid is devised. The method involves obtaining sets of data representing parameters such as the sound environment at a predetermined data acquisition rate and storing the data according to one of a plurality of a set of possible parameter sets in a histogram (15) is having room for a limited number of instances of each particular set of parameters. If the limit for a particular histogram bin is reached when an instance is stored in the histogram, the data acquisition rate is adjusted according to a specified scheme and the number of instances of every parameter set is reduced by a fixed factor. Acquired data in the histogram thus reflects the most recent sound environments experienced by the hearing aid user.
Claims21
A hearing aid comprising:
- an input transducer for producing an input signal representing a sound event;
- a hearing aid processor for processing the input signal to produce an output signal;
- an output transducer responsive to said output signal;
- and
- a logging device having:
- a classification means processing the input signal and classifying the sound event among a predefined set of sound environments;
- a timer triggering the classification means to output the classification of the sound event;
- a memory having a set of histogram counters corresponding to said predefined set of sound environments, wherein in at least one of said counters is incremented in respect of the sound environment depending on the output from the classification means;
- an analyzer monitoring the counters, and upon detection of counter overflow:
- analyzing values of said counters in order to evaluate the sound environment homogenousity over time;
- rebasing all histogram counters by dividing the contents by a predetermined factor;
- and
- adjusting a triggering rate of the timer in dependence of the sound environment homogenousity evaluation.
A method for managing data logging in a hearing aid, the method incorporating the steps of acquiring parameter data about the sound environment at a selected rate, arranging and storing the acquired data by counts in histogram counters in an allocated memory in the hearing aid, testing if any count exceeds a predetermined maximum number limit, and, in that case, reducing the number of all the counts proportionally by a predetermined factor, analyzing the histogram data for determining the width of a histogram profile, determining a new data acquisition sample rate based on the determined histogram width and altering the determined data acquisition sample rate accordingly.
A method for managing data logging in a hearing aid, the method incorporating the steps of acquiring parameter data at a selected rate, arranging and storing the acquired data in a histogram in allocated memory in the hearing aid, testing if any occurrence of the stored data exceeds a predetermined maximum number limit, and, in that case, reducing the number of all the data occurrences proportionally by a predetermined factor, analyzing the histogram data, determining a new data acquisition sample rate based on the analysis and altering the selected sampling rate accordingly, wherein said step of analyzing the histogram comprises analyzing count values in order to evaluate the sound environment homogeneity over time.
A method for managing data logging in a hearing aid, the method incorporating the steps of acquiring parameter data at a selected rate, arranging and storing the acquired data in a histogram in allocated memory in the hearing aid, testing if any occurrence of the stored data exceeds a predetermined maximum number limit, and, in that case, reducing the number of all the data occurrences proportionally by a predetermined factor, analyzing the histogram data, determining a new data acquisition sample rate based on the analysis and altering the selected sampling rate accordingly, characterized in that the step of analyzing the histogram data incorporates the step of determining the width of a histogram profile.
Dependencies are inferred from the claim text.