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Hey {name|there}! 👋

The average window for HRV, HR, … gets quite big with having a lot variations. I would propose to have moving average to show long term trends and outliers better.<img data-featurebase-content-key="6a300184846b41c005226e3d/post/6a39522a81e6f1067fbb0525/019eefe8-f5e0-7650-9b06-41e0c629b951/b64u-MDE5ZWVmZTgtZjRkNi03NTkzLWE4NTMtNTQxYzg0MTk4NjEx.png" src="https://6a300184846b41c005226e3d.featurebase-attachments.com/c/post/6a39522a81e6f1067fbb0525/019eefe8-f5e0-7650-9b06-41e0c629b951/b64u-MDE5ZWVmZTgtZjRkNi03NTkzLWE4NTMtNTQxYzg0MTk4NjEx.png?X-Amz-Expires=3600&amp;X-Amz-Date=20260808T020000Z&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Credential=DO801TYC4FCVNNEKURKM%2F20260808%2Ffra1%2Fs3%2Faws4_request&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Signature=24d4592e37f8a3ca1dc5ac4c78a81837b25550952a95f2232743b0c021693ab3" data-featurebase-content-filename="019eefe8-f4d6-7593-a853-541c84198611">

Das durchschnittliche Zeitfenster für HRV, HR, … wird bei starken Schwankungen recht groß. Ich würde vorschlagen, einen gleitenden Durchschnitt zu verwenden, um langfristige Trends und Ausreißer besser darzustellen.<img data-featurebase-content-key="6a300184846b41c005226e3d/post/6a39522a81e6f1067fbb0525/019eefe8-f5e0-7650-9b06-41e0c629b951/b64u-MDE5ZWVmZTgtZjRkNi03NTkzLWE4NTMtNTQxYzg0MTk4NjEx.png" src="https://6a300184846b41c005226e3d.featurebase-attachments.com/c/post/6a39522a81e6f1067fbb0525/019eefe8-f5e0-7650-9b06-41e0c629b951/b64u-MDE5ZWVmZTgtZjRkNi03NTkzLWE4NTMtNTQxYzg0MTk4NjEx.png?X-Amz-Expires=3600&amp;X-Amz-Date=20260808T020000Z&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Credential=DO801TYC4FCVNNEKURKM%2F20260808%2Ffra1%2Fs3%2Faws4_request&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Signature=24d4592e37f8a3ca1dc5ac4c78a81837b25550952a95f2232743b0c021693ab3" data-featurebase-content-filename="019eefe8-f4d6-7593-a853-541c84198611">

Gleitender Durchschnitt

La fenêtre moyenne pour la VRS, la FC, etc. devient assez large et présente de nombreuses variations. Je proposerais d'utiliser une moyenne mobile afin de mieux mettre en évidence les tendances à long terme et les valeurs aberrantes.<img data-featurebase-content-key="6a300184846b41c005226e3d/post/6a39522a81e6f1067fbb0525/019eefe8-f5e0-7650-9b06-41e0c629b951/b64u-MDE5ZWVmZTgtZjRkNi03NTkzLWE4NTMtNTQxYzg0MTk4NjEx.png" src="https://6a300184846b41c005226e3d.featurebase-attachments.com/c/post/6a39522a81e6f1067fbb0525/019eefe8-f5e0-7650-9b06-41e0c629b951/b64u-MDE5ZWVmZTgtZjRkNi03NTkzLWE4NTMtNTQxYzg0MTk4NjEx.png?X-Amz-Expires=3600&amp;X-Amz-Date=20260808T020000Z&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Credential=DO801TYC4FCVNNEKURKM%2F20260808%2Ffra1%2Fs3%2Faws4_request&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Signature=24d4592e37f8a3ca1dc5ac4c78a81837b25550952a95f2232743b0c021693ab3" data-featurebase-content-filename="019eefe8-f4d6-7593-a853-541c84198611">

Moyenne mobile

Moving Average

Stefan Riegler

Sonar

Moving Average

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