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Projektbericht hinzugefügt und % Fortschritt Anzeige grober gemacht

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seyffejn 2020-09-28 21:00:25 +02:00
parent 7971322755
commit f05fa4faee
10 changed files with 113 additions and 87 deletions
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114
TinnitusAnalyse/.idea/workspace.xml generated
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@ -111,9 +84,11 @@
<find>Speichern</find>
<find>csv</find>
<find>order</find>
<find>feedback</find>
<find>musikTest</find>
<find>Daten er</find>
<find>samples</find>
<find>feedback</find>
<find>framerate</find>
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TinnitusAnalyse/SoundGenerator.py
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@ -6,7 +6,7 @@ import sys # für Fehlermeldungen
from scipy import signal
import csv
import time
#import matplotlib.pyplot as plt
import matplotlib.pyplot as plt
"""---------------------------------------------------------------------------------------------------------------------
In .wav-Dateien wird der Ton in absoluten Werte eingetragen. Die Standart-framerate ist 44100
@ -151,6 +151,25 @@ class Sound:
# sosfilt filtert das Signal mittels mehrerer 'second order sections' (= Filter 2. Ordnung) die über sos definiert sind
outdata[:, 0] = signal.sosfilt(sos, outdata[:, 0])
# Plotten des Filters für Filterentwicklung und Dokumentation nützlich---------
# w, h = signal.sosfreqz(sos, worN=1500)
# plt.subplot(2, 1, 1)
# db = 20 * np.log10(np.maximum(np.abs(h), 1e-5))
# plt.plot(w / np.pi, db)
# plt.ylim(-75, 5)
# plt.grid(True)
# plt.yticks([0, -20, -40, -60])
# plt.ylabel('Gain [dB]')
# plt.title('Frequency Response')
# plt.subplot(2, 1, 2)
# plt.plot(w / np.pi, np.angle(h))
# plt.grid(True)
# plt.yticks([-np.pi, -0.5 * np.pi, 0, 0.5 * np.pi, np.pi],
# [r'$-\pi$', r'$-\pi/2$', '0', r'$\pi/2$', r'$\pi$'])
# plt.ylabel('Phase [rad]')
# plt.xlabel('Normalized frequency (1.0 = Nyquist)')
# plt.show()
# -------------------------------------------------------------------------------
if self.tinnitus.rechtsRauschenLautstaerke:
# (-3dB Grenzen) bzw was der Bandpass durchlässt
fGrenz = [self.tinnitus.rechtsRauschenUntereGrenzfrequenz,
@ -238,11 +257,18 @@ class Sound:
# -------------------------------------
if ll != 0.0: # nur wenn die Lautstärke des linken Tinnitus ungleich 0 ist, wird auf diesem Ohr auch gefiltert
b, a = signal.iirfilter(order, cutoff_frequencies, rp=max_ripple_passband, btype='bandstop', ftype='butter',
fs=self.music_samplerate) # Diese Funktion erstellt den IIR-Bandpassfilter (links)
music_links = signal.lfilter(b, a, self.music_data[:, 0]) # diese Funktion filtert die Audiodaten
# FIR Filterversuch
# b = signal.firwin(order, cutoff_frequencies, pass_zero="bandstop", fs=self.music_samplerate, width=bandwidth,
# window="hamming")
#
# music_links = signal.lfilter(b, [1.0], self.music_data[:, 0])
else:
music_links = self.music_data[:, 0] # ungefiltert, wenn kein Tinnitus angegeben wurde
@ -255,6 +281,12 @@ class Sound:
fs=self.music_samplerate) # Diese Funktion erstellt den IIR-Bandpassfilter (rechts)
music_rechts = signal.lfilter(b, a, self.music_data[:, 1]) # rechts
# FIR Filterversuch
# b = signal.firwin(order, cutoff_frequencies, pass_zero="bandstop", fs=self.music_samplerate, width=bandwidth,
# window="hamming")
#
# music_rechts = signal.lfilter(b, [1.0], self.music_data[:, 1])
else:
music_rechts = self.music_data[:, 1] # diese Funktion filtert die Audiodaten(die Tinnitusfreq wird entfernt)
@ -267,13 +299,18 @@ class Sound:
#Maximum finden (Funktion max(...) ist minimal schneller, macht aber Probleme beim Feedback)
start_time = time.time()
max_ges = 0
fortschritt = 0
for i in range(nframes):
if max_ges < abs(music_links[i]):
max_ges = abs(music_links[i])
if max_ges < abs(music_rechts[i]):
max_ges = abs(music_rechts[i])
if i % 50000 == 0:
fortschritt = i / nframes * 100
if i % int(nframes/10) == 0: # glaub hier stand 10000 davor oder 50000
# fortschritt = i / nframes * 100
# self.filterfortschritt = 3, round(fortschritt, 1)
# print(" max: ", self.filterfortschritt[1], "%")
fortschritt += 10
self.filterfortschritt = 3, round(fortschritt, 1)
print(" max: ", self.filterfortschritt[1], "%")
end_time = time.time()
@ -310,6 +347,7 @@ class Sound:
# Die Audiosamples schreiben
print("Musikdatei wird erstellt...")
fortschritt = 0
for tinnitus_data in range(nframes): #geht jeden Sample-Wert der Musikdatei einzeln durch
# Die Audiodaten müssen von float in einen passenden int-Wert umgerechnet werden
packedMusic.append(struct.pack('h', int(music_links[tinnitus_data] * 32767.0)))
@ -317,8 +355,8 @@ class Sound:
# wav_obj.writeframes(struct.pack('h', int(music_links[x] * 32767.0))) # Werte für links und rechts werden bei
# wav_obj.writeframes(struct.pack('h', int(musicRechts[x] * 32767.0))) # wav abwechselnd eingetragen
if tinnitus_data % 50000 == 0:
fortschritt = tinnitus_data/nframes*100
if tinnitus_data % int(nframes/10) == 0:
fortschritt += 10
self.filterfortschritt = 4, round(fortschritt, 1)
print(" samples: ", self.filterfortschritt[1], "%")

14
TinnitusAnalyse/TinnitusAnalyse_GUI.py
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@ -209,24 +209,28 @@ def unten_button_filtere_tinnitus_aus_musik():
# Filtern in extra thread, damit sich die GUI nicht aufhängt: (daemon beendet den Thread, wenn das Hauptprogramm beendet wird)
filter_thread = threading.Thread(target=sound.musik_filtern, daemon=True)
filter_thread.start()
time.sleep(3) # Zeit, damit man das Feedback lesen kann, bevor es gelöscht wird (siehe übernächste Zeile)
time.sleep(1) # Zeit, damit man das Feedback lesen kann, bevor es gelöscht wird (siehe übernächste Zeile)
safe_percentage = 0
while filter_thread.is_alive():
feedback.lineCounter = 11 # "Workaround" um Zeilen überschreiben zu können
#feedback.lineCounter = 11 # "Workaround" um Zeilen überschreiben zu können
schritt = sound.filterfortschritt[0]
if schritt == 3 or schritt == 4: #Nur bei dem 3. und 4. Schritt wird der Fortschritt in Prozent angezeigt
if schritt == 3 or schritt == 4: # Nur bei dem 3. und 4. Schritt wird der Fortschritt in Prozent angezeigt
fb = "Schritt " + str(schritt) + " von 4 (" + str(sound.filterfortschritt[1]) + "%)"
feedback(fb)
if sound.filterfortschritt[1] > safe_percentage:
feedback(fb)
safe_percentage = sound.filterfortschritt[1]
elif schritt < 3:
fb = "Schritt " + str(schritt) + " von 4"
feedback(fb)
if sound.filterfortschritt[0] == 5: #ist 5, wenn erfolgreich gefiltert wurde
print("-- filtern beendet --")
feedback("Filtervorgang erfolgreich abgeschlossen. \n"
"Audiodatei unter dem Namen MyTinnitusFreeSong.wav erstellt", "white", "green")
else:
print("Fehler bei Filterfunktion. Siehe Compiler-Meldungen")
feedback("Fehlgeschlagener Filterversuch!", "red", "white")
feedback("Fehlgeschlagener Filterversuch. Ein SWAT-Team gut ausgebildeter Affen ist unterwegs!", "red", "white")
except:
feedback("Fehlgeschlagener Filterversuch. Drücke zuerst den Speichern Knopf"
"Stelle sicher, dass die Lautstärke mindestens einer Seite über 0"

22
TinnitusAnalyse/TinnitusDaten.csv
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@ -1,14 +1,16 @@
Vorname;asd
Nachname;asd
linke Frequenz;5040.0
linke Lautstärke;0.04
linkes Rauschen Lautstärke;0.0
linkes Rauschen untere Grenzfrequenz;10.0
linkes Rauschen obere Grenzfrequenz;20000.0
rechte Frequenz;5040.0
rechte Lautstärke;0.02
Vorname;Mustermann
Nachname;Max
linke Frequenz;8420.0
linke Lautstärke;0.5
linkes Rauschen Lautstärke;0.015
linkes Rauschen untere Grenzfrequenz;7440.0
linkes Rauschen obere Grenzfrequenz;11910.0
rechte Frequenz;0.0
rechte Lautstärke;0.0
rechtes Rauschen Lautstärke;0.0
rechtes Rauschen untere Grenzfrequenz;10.0
rechtes Rauschen obere Grenzfrequenz;20000.0
Kommentar;
Kommentar;Lediglich auf dem linken Ohr höre ich einen hohen Piepston
und ein leises Rauschen (vergleichbar mit einem laufenden
Kühlschrank)

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