A standardized clinical audiogram that displays hearing test results, plotting hearing threshold (dB HL) against test frequency for each ear. The y-axis is inverted so that 0 dB HL (best hearing) sits at the top and increasing hearing loss extends downward, while the x-axis is logarithmic spanning the standard audiometric frequencies (125 Hz to 8 kHz). Thresholds are marked with the conventional symbols — a circle (O) for the right ear in red and a cross (X) for the left ear in blue — and connected per ear, with shaded horizontal bands indicating severity of hearing loss (normal, mild, moderate, severe, profound).
# anyplot.ai
# audiogram-clinical: Clinical Audiogram
# Library: makie 0.22.10 | Julia 1.11.9
# Quality: 89/100 | Created: 2026-06-15
using CairoMakie
using Colors
using Random
Random.seed!(42)
# Theme tokens
const THEME = get(ENV, "ANYPLOT_THEME", "light")
const PAGE_BG = THEME == "light" ? colorant"#FAF8F1" : colorant"#1A1A17"
const ELEVATED_BG = THEME == "light" ? colorant"#FFFDF6" : colorant"#242420"
const INK = THEME == "light" ? colorant"#1A1A17" : colorant"#F0EFE8"
const INK_SOFT = THEME == "light" ? colorant"#4A4A44" : colorant"#B8B7B0"
const INK_MUTED = THEME == "light" ? colorant"#6B6A63" : colorant"#A8A79F"
# Audiogram follows standard audiological color conventions (semantic exception):
# right ear → red (Imprint position 5), left ear → blue (Imprint position 3)
const RIGHT_EAR_COLOR = colorant"#AE3030"
const LEFT_EAR_COLOR = colorant"#4467A3"
# Pure-tone audiometry data — noise-induced high-frequency sensorineural notch
const FREQUENCIES = Float64[125, 250, 500, 1000, 2000, 4000, 8000]
const THRESHOLD_RIGHT = Float64[10, 10, 15, 20, 35, 65, 50]
const THRESHOLD_LEFT = Float64[15, 15, 20, 25, 40, 70, 55]
# Severity band fill alpha — dark mode reduced to prevent over-saturation
band_alpha = THEME == "light" ? 0.12f0 : 0.14f0
# Severity bands: (y_low, y_high, label, fill_color)
# Colors derived from exact Imprint palette members:
# IP1 #009E73 (pos 1 — green), IP4 #BD8233 (pos 4 — ochre), IP5 #AE3030 (pos 5 — red)
bands = [
(-10.0, 25.0, "Normal", RGBAf(0.000f0, 0.620f0, 0.451f0, band_alpha)),
( 25.0, 40.0, "Mild", RGBAf(0.741f0, 0.510f0, 0.200f0, band_alpha)),
( 40.0, 55.0, "Moderate", RGBAf(0.741f0, 0.510f0, 0.200f0, band_alpha * 1.4f0)),
( 55.0, 70.0, "Mod. Severe", RGBAf(0.682f0, 0.188f0, 0.188f0, band_alpha)),
( 70.0, 90.0, "Severe", RGBAf(0.682f0, 0.188f0, 0.188f0, band_alpha * 1.5f0)),
( 90.0, 120.0, "Profound", RGBAf(0.682f0, 0.188f0, 0.188f0, band_alpha * 2.0f0)),
]
# Figure — square canvas (audiograms are conventionally square)
fig = Figure(
resolution = (1200, 1200),
fontsize = 14,
backgroundcolor = PAGE_BG,
)
ax = Axis(
fig[1, 1];
title = "audiogram-clinical · julia · makie · anyplot.ai",
titlesize = 20,
titlecolor = INK,
xlabel = "Frequency (Hz)",
ylabel = "Hearing Level (dB HL)",
xlabelsize = 14,
ylabelsize = 14,
xlabelcolor = INK,
ylabelcolor = INK,
xticklabelsize = 12,
yticklabelsize = 12,
xticklabelcolor = INK_SOFT,
yticklabelcolor = INK_SOFT,
xtickcolor = INK_SOFT,
ytickcolor = INK_SOFT,
backgroundcolor = PAGE_BG,
topspinevisible = false,
rightspinevisible = false,
leftspinecolor = INK_SOFT,
bottomspinecolor = INK_SOFT,
xscale = log10,
yreversed = true,
xticks = ([125, 250, 500, 1000, 2000, 4000, 8000],
["125", "250", "500", "1k", "2k", "4k", "8k"]),
yticks = collect(-10:10:120),
limits = (90, 10000, -10, 120),
xgridcolor = RGBAf(INK.r, INK.g, INK.b, 0.15f0),
ygridcolor = RGBAf(INK.r, INK.g, INK.b, 0.15f0),
xminorgridvisible = false,
yminorgridvisible = false,
)
# Severity bands drawn below data; labels centered in each band at 1 kHz
for (y1, y2, label, band_color) in bands
hspan!(ax, y1, y2; color = band_color)
text!(ax, 1000.0, (y1 + y2) / 2;
text = label,
color = INK_MUTED,
fontsize = 12,
align = (:center, :center))
end
# Focal-point emphasis on clinically significant 4 kHz sensorineural notch
text!(ax, 4700.0, 56.0;
text = "4 kHz notch",
color = INK_SOFT,
fontsize = 10,
align = (:left, :center))
# Connecting lines (drawn first so markers sit on top)
lines!(ax, FREQUENCIES, THRESHOLD_RIGHT;
color = RIGHT_EAR_COLOR,
linewidth = 2.5)
lines!(ax, FREQUENCIES, THRESHOLD_LEFT;
color = LEFT_EAR_COLOR,
linewidth = 2.5,
linestyle = :dash)
# Markers — right ear: filled circle (O), left ear: × cross (X)
scatter!(ax, FREQUENCIES, THRESHOLD_RIGHT;
color = RIGHT_EAR_COLOR,
marker = :circle,
markersize = 16,
strokewidth = 1.5,
strokecolor = PAGE_BG)
scatter!(ax, FREQUENCIES, THRESHOLD_LEFT;
color = LEFT_EAR_COLOR,
marker = :xcross,
markersize = 18,
strokewidth = 0)
# Inset legend
leg_entries = [
[MarkerElement(marker = :circle, color = RIGHT_EAR_COLOR, markersize = 14,
strokewidth = 1.5, strokecolor = PAGE_BG),
LineElement(color = RIGHT_EAR_COLOR, linewidth = 2.5)],
[MarkerElement(marker = :xcross, color = LEFT_EAR_COLOR, markersize = 14),
LineElement(color = LEFT_EAR_COLOR, linewidth = 2.5, linestyle = :dash)],
]
leg_labels = ["Right Ear (O)", "Left Ear (X)"]
Legend(fig[1, 1], leg_entries, leg_labels;
tellwidth = false,
tellheight = false,
halign = :right,
valign = :bottom,
margin = (20, 20, 20, 20),
framevisible = true,
framecolor = INK_SOFT,
backgroundcolor = ELEVATED_BG,
labelcolor = INK,
fontsize = 12,
patchsize = (22, 12),
)
# Save
save("plot-$(THEME).png", fig; px_per_unit = 2)
Part of Clinical Audiogram on anyplot.ai.