Audiogram classification system

A method for automatically classifying an audiogram with a processor programmed with a non-transitory software program to perform the method, the method comprising:

• selecting a configuration for the audiogram with the non-transitory software program, the configuration selected from the group consisting of a normal configuration, a flat configuration, a sloping configuration, a rising configuration, a trough configuration, a peaked configuration, and an other configuration;
• and
• selecting a severity for the audiogram with the non-transitory software program, the severity depending on the selected configuration, wherein no severity is selected for the normal configuration, wherein the severity for the flat configuration is selected from the group consisting of mild, moderate, severe, and profound, wherein the severity for the sloping configuration is selected from the group consisting of normal-mild, normal-moderate, normal-severe, mild-moderate, mild-severe, moderate-severe, and severe-profound, wherein the severity for the rising configuration is selected from the group consisting of mild-normal, moderate-normal, moderate-mild, severe-normal, severe-mild, severe-moderate, profound-severe, and profound, wherein the severity for the trough configuration is selected from the group consisting of mild, moderate and severe, wherein the severity for the peaked configuration is selected from the group consisting of mild, moderate and severe, wherein the severity for the other configuration is selected from the group consisting of mild, moderate and severe, wherein the configuration and the severity are selected using rules based on at least one variable selected from the group consisting of a threshold average, moving threshold averages, mean of moving threshold averages, a maximum threshold, a minimum threshold, a maximum moving threshold average, and a minimum moving threshold average.

A non-transitory computer-readable storage medium with an executable software program stored thereon, the software program being executable by a processor to perform a method for automatically classifying an audiogram, the method comprising

• selecting a configuration for the audiogram, the configuration selected from the group consisting of a normal configuration, a flat configuration, a sloping configuration, a rising configuration, a trough configuration, a peaked configuration, and an other configuration,
• selecting a severity for the audiogram, the severity depending on the selected configuration, wherein no severity is selected for the normal configuration, wherein the severity for the flat configuration is selected from the group consisting of mild, moderate, severe, and profound, wherein the severity for the sloping configuration is selected from the group consisting of normal-mild, normal-moderate, normal-severe, mild-moderate, mild-severe, moderate-severe, and severe-profound, wherein the severity for the rising configuration is selected from the group consisting of mild-normal, moderate-normal, moderate-mild, severe-normal, severe-mild, severe-moderate, profound-severe, and profound, wherein the severity for the trough configuration is selected from the group consisting of mild, moderate and severe, wherein the severity for the peaked configuration is selected from the group consisting of mild, moderate and severe, wherein the severity for the other configuration is selected from the group consisting of mild, moderate and severe,
• selecting a site of lesion for the audiogram, the site of lesion selected from the group consisting of a conductive site of lesion, a sensorineural site of lesion, a mixed site of lesion, and a mixed/sensorineural site of lesion, and
• selecting a symmetry for the audiogram, the symmetry selected from the group consisting of a symmetrical symmetry and an asymmetrical symmetry.

A non-transitory computer-readable storage medium with an executable software program stored thereon, the software program being executable by a processor to perform a method for automatically classifying an audiogram, the method comprising

• selecting a configuration for the audiogram, the configuration selected from the group consisting of a normal configuration, a flat configuration, a sloping configuration, a rising configuration, a trough configuration, a peaked configuration, and an other configuration and
• selecting a severity for the audiogram, the severity depending on the selected configuration, wherein no severity is selected for the normal configuration, wherein the severity for the flat configuration is selected from the group consisting of mild, moderate, severe, and profound, wherein the severity for the sloping configuration is selected from the group consisting of normal-mild, normal-moderate, normal-severe, mild-moderate, mild-severe, moderate-severe, and severe-profound, wherein the severity for the rising configuration is selected from the group consisting of mild-normal, moderate-normal, moderate-mild, severe-normal, severe-mild, severe-moderate, profound-severe, and profound, wherein the severity for the trough configuration is selected from the group consisting of mild, moderate and severe, wherein the severity for the peaked configuration is selected from the group consisting of mild, moderate and severe, wherein the severity for the other configuration is selected from the group consisting of mild, moderate and severe, wherein the configuration and the severity are selected using rules based on at least one variable selected from the group consisting of a threshold average, moving threshold averages, mean of moving threshold averages, a maximum threshold, a minimum threshold, a maximum moving threshold average, and a minimum moving threshold average.