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August 22, 2017 11:43
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import { map, max, mean, sortBy, values } from 'lodash' | |
import { TEST_FREQUENCIES } from 'src/constants.js' | |
const SPLtoHLMap = { | |
'125': 45, | |
'250': 27, | |
'500': 13.5, | |
'1000': 7.5, | |
'2000': 9, | |
'4000': 12, | |
'8000': 15.5, | |
} | |
/** | |
* Maps hearing loss code curve types to relative audiogram values | |
*/ | |
const CodeCurveTypeScales = { | |
A: [0, 0, 0, 0, 0, 1 / 2, 1], | |
B: [0, 0, 0, 0, 1 / 2, 1, 1], | |
C: [0, 0, 0, 1 / 2, 1, 1, 1], | |
D: [0, 0, 1 / 2, 1, 1, 1, 1], | |
E: [0, 1 / 2, 1, 1, 1, 1, 1], | |
F: [0, 1 / 6, 2 / 6, 3 / 6, 4 / 6, 5 / 6, 1], | |
G: [0, 0, 1 / 5, 2 / 5, 3 / 5, 4 / 5, 1], | |
H: [0, 0, 0, 1 / 4, 2 / 4, 3 / 4, 1], | |
I: [0, 0, 0, 0, 1 / 3, 2 / 3, 1], | |
} | |
/** | |
* Maps hearing loss code severity levels to a maximum dB HL value | |
*/ | |
const CodeSeverityValues = { | |
'0': 10, | |
'1': 21, | |
'2': 33, | |
'3': 48, | |
'4': 63, | |
'5': 81, | |
'6': 91, | |
} | |
function convertSPLtoHL(frequency, dbSPL) { | |
return dbSPL - SPLtoHLMap[frequency] | |
} | |
function getAverageDistance(arr1, arr2) { | |
return mean(arr1.map((x, i) => Math.abs(x - arr2[i]))) | |
} | |
export function calculateAudiogramFromHearingTestResult(earVolumes) { | |
return TEST_FREQUENCIES.map(frequency => earVolumes[frequency]) | |
.map(frequencyResults => mean(values(frequencyResults))) | |
.map((volume, i) => convertSPLtoHL(TEST_FREQUENCIES[i], volume)) | |
.reduce( | |
(aggr, dbHL) => (aggr.length === 0 ? [dbHL] : [...aggr, dbHL - aggr[0]]), | |
[] | |
) | |
.map((dbHL, i) => (i === 0 ? 0 : dbHL)) | |
} | |
export function calculateHearingLossCodeFromHearingTestResult(earVolumes) { | |
const audiogram = calculateAudiogramFromHearingTestResult(earVolumes) | |
const highestAudiogramValue = max(audiogram) | |
const normalizedAudiogram = audiogram.map(x => x / highestAudiogramValue) | |
const distances = map(CodeCurveTypeScales, (scaleValues, scaleName) => ({ | |
scaleName, | |
distance: getAverageDistance(normalizedAudiogram, scaleValues), | |
})) | |
const closestScale = distances.reduce( | |
(closest, comparison) => | |
comparison.distance < closest.distance ? comparison : closest, | |
distances[0] | |
) | |
const severities = map(CodeSeverityValues, (severityValue, severityKey) => ({ | |
severityKey, | |
closeness: Math.abs(severityValue - highestAudiogramValue), | |
})) | |
const closestSeverity = sortBy(severities, x => x.closeness)[0] | |
return `${closestScale.scaleName}${closestSeverity.severityKey}` | |
} |
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