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\section{Diskussion}\label{sec:diskussion} -\input{discussion_fredy} +%\input{discussion_fredy} +\input{discussion_group} \input{discussion_oli} \input{discussion_gra} %\end{multicols} diff --git a/term-paper/data_gra.tex b/term-paper/data_gra.tex index 6e5075c..e4c1706 100644 --- a/term-paper/data_gra.tex +++ b/term-paper/data_gra.tex @@ -2,22 +2,22 @@ %! Date = 24.10.24 % Preamble -\subsection{Datenbeschaffung Michael}\label{subsec:datenbeschaffung-michael-graber} -\subsubsection{Datenquelle} -Quelle waren Daten aus dem Garmin Connect Portal.\\ -Die Daten selber stammen zu einem kleinen Teil von einer Garmin f\=enix 3 Saphir HR, einer Garmin Instinct Solar 2 und einer Garmin Instinct Solar 2X.\\ +\subsection{Daten Michael}\label{subsec:datenbeschaffung-michael-graber} +\subsubsection{Datenquelle / Datenbeschaffung} +%Quelle waren Daten aus dem Garmin Connect Portal.\\ +%zu einem kleinen Teil % +Datenquelle war Garmin Connect, die Daten selber stammen von einer Garmin f\=enix 3 Saphir HR sowie einer Garmin Instinct Solar 2/ 2X.\\% und einer Garmin Instinct Solar 2X. Da die Garmin f\=enix 3 Saphir noch keine REM-Daten zur verfügung stellte, konnte nur die Schlafdauer betrachtet werden.\\ %Eine Mischung aus den f\=enix 3 Saphir HR Schlafdaten mit Wach-, Leicht- und Tiefschlafphasen und den Instinct Solar 2 / 2X Schlafdaten mit REM-, Wach-, Leicht- und Tiefschlafphasen würde zu einem verfälschten Resultat führen.\\\\ %Zwischen der f\=enix 3 Saphir HR und der Instinct Solar 2 / 2X liegt zudem ein Altersunterschied von mehr als sieben Jahren. %Da alle drei Sportuhren keine Medizinalprodukte sind und daher keiner genormten Eichung unterliegen, besteht eine gewisse Vergleichsunschärfe. %Mit der Konzentatrion auf die Schlafdauer beschränkt sich diese Unschärfe nur auf die HR-Daten. -Für HR-Daten stellt Garmin keinen csv-Export zur Verfügung.\\ -Entsprechend musste die Daten manuell aus dem Web GUI von Garmin Connect kopiert werden.\\\\ +Für HR-Daten stellt Garmin keinen csv-Export zur Verfügung, entsprechend musste die Daten manuell aus dem Web GUI von Garmin Connect kopiert werden.\\ Garmin Connect bietet nur Schlaf- und HR-Daten, die als Wochendurchschnitt gespeichert sind. %Um Daten pro Tag zu erhalten, müsste auf eine kostenpflichtige API zurückgegriffen werden. \subsubsection{Datenqualität} Die Daten der Wochen der Schlaf- und HR-Daten korrelieren nicht miteinander.\\ -Hinzu kommt, dass Garmin Daten aus dem Vorjahr mit dem Jahr angibt, die aus dem aktuellen nicht.%: +%Hinzu kommt, dass Garmin Daten aus dem Vorjahr mit dem Jahr angibt, die aus dem aktuellen nicht.%: %\begin{figure}[H] % \centering % \subfloat{{\includegraphics[width=0.43\linewidth]{../media/gra/gramic_hr_data_dates} }}% @@ -28,7 +28,7 @@ Hinzu kommt, dass Garmin Daten aus dem Vorjahr mit dem Jahr angibt, die aus dem %\end{figure} Des Weiteren ist das csv mit den Schlafdaten Kommasepariert, das Jahr 2023 wird ebenfalls mit einem Komma getrennt. -Als resultat haben alle Datensätze ab 2023 eine weitere Spalte. +Als Resultat haben alle Datensätze ab 2023 eine weitere Spalte. %\begin{figure}[H] % \centering % \includegraphics[width=0.4\linewidth]{../media/gra/gramic_sleep_data_data_encoding} @@ -36,12 +36,12 @@ Als resultat haben alle Datensätze ab 2023 eine weitere Spalte. % \label{fig:gra-sleep-data-csv-encoding} %\end{figure} \subsubsection{Datenbereinigung} -Mit einem Python Skript wurden die Daten bereinigt.\\ -Dazu wurde anhand des Datumsbereichs und dem Jahr (dort wo kein Jahr angegeben wurde, galt das aktuelle Jahr) die Kalenderwoche ermittelt. -So können beide Datensätze miteinander kombiniert werden.\\ -Der nächste Schritt bestand darin, bei den HR-Daten, dass \guillemotleft bpm\guillemotright zu entfernen, um die Werte Dezimalzahl umzuwandeln.\\ -In einem nächsten Schritt müssen die Ruhe- und Aktivdaten zu einem Durchschnitt gerechnet werden. -Die so bereinigten Daten werden als csv-Datei zwischengespeichert.%: +%Mit einem Python Skript wurden die Daten bereinigt. +%Dazu wurde anhand des Datumsbereichs und dem Jahr (dort wo kein Jahr angegeben wurde, galt das aktuelle Jahr) die Kalenderwoche ermittelt. +%So können beide Datensätze miteinander kombiniert werden.\\ +%Der nächste Schritt bestand darin, bei den HR-Daten, dass \guillemotleft bpm\guillemotright zu entfernen, um die Werte Dezimalzahl umzuwandeln. +%In einem nächsten Schritt müssen die Ruhe- und Aktivdaten zu einem Durchschnitt gerechnet werden. +%Die so bereinigten Daten werden als csv-Datei zwischengespeichert.%: %\begin{figure}[H] % \centering % \subfloat{{\includegraphics[width=0.3\linewidth]{../media/gra/gramic_hr_data_cleaned} }}% @@ -50,10 +50,11 @@ Die so bereinigten Daten werden als csv-Datei zwischengespeichert.%: % \caption{ Bereinigte HR- und Schlafdaten} % \label{fig:gra-cleaned-datas} %\end{figure} -In einem letzten Schritt wurden die beiden Datensätze kombiniert und ebenfalls als csv-Datei zwischengespeichert.%: +%In einem letzten Schritt wurden die beiden Datensätze kombiniert.% und ebenfalls als csv-Datei zwischengespeichert.%: %\begin{figure}[H] % \centering % \includegraphics[width=0.4\linewidth]{../media/gra/gramic_combined_data} % \caption{Michael Graber - Kombinierte Daten als csv} % \label{fig:gra-combined-data} -%\end{figure} \ No newline at end of file +%\end{figure} +Die Datenbereiche wurden umgewandelt, die Einheiten aus den Werten entfernt, die HR-Durchschnittswerte berechnet werden und die Daten zuletzt kombiniert. \ No newline at end of file diff --git a/term-paper/discussion_fredy.tex b/term-paper/discussion_fredy.tex index 92ab019..80c44b8 100644 --- a/term-paper/discussion_fredy.tex +++ b/term-paper/discussion_fredy.tex @@ -2,3 +2,4 @@ %! Date = 24.10.24 % Preamble +\subsection{Frederic}\label{subsec:frederic2} \ No newline at end of file diff --git a/term-paper/discussion_gra.tex b/term-paper/discussion_gra.tex index eb377ce..3c9862c 100644 --- a/term-paper/discussion_gra.tex +++ b/term-paper/discussion_gra.tex @@ -3,6 +3,6 @@ % Preamble \subsection{Michael}\label{subsec:michael-graber2} -Die Qualität der Datenqualität könnte gesteigert werden, indem die Daten Tageweise gespeichert und verglichen würden.\\ +Die Qualität der Daten könnte gesteigert werden, indem die Daten Tageweise gespeichert und verglichen würden.\\ Dazu müsste nicht zwangsweise auf die kostenpflichtige API zurückgegriffen werden,\\ mithilfe eines Webcrawlers kännten die Daten pro Tag ausgelesen werden. \ No newline at end of file diff --git a/term-paper/discussion_group.tex b/term-paper/discussion_group.tex new file mode 100644 index 0000000..a65ca20 --- /dev/null +++ b/term-paper/discussion_group.tex @@ -0,0 +1,9 @@ +%! Author = gra +%! Date = 27.10.24 + +% Preamble +\subsection{Gruppe}\label{subsec:gruppe} +Ähnlich zu den Forschungspapern zeigt sich, dass die Schlafdauer selber nur eine geringe Auswirkung auf die Herzfrequenz hat.\\ +Die Schlafqualität hingegen scheint einen höheren Einfluss zu haben.\\\\ +Es fehlen aber geeichte und standardisierte Datensätze, sie liessen sich so schlecht miteinander verbinden und vergleichen.\\ +Für eine Teamarbeit mit geteilten Datensätzen wären Information zu Methoden, Toleranzen, Unschärfen und andere Parameter notwendig gewesen. \ No newline at end of file diff --git a/term-paper/title.tex b/term-paper/title.tex index c144d81..6855be0 100644 --- a/term-paper/title.tex +++ b/term-paper/title.tex @@ -13,6 +13,8 @@ \maketitle \selectlanguage{english} \begin{abstract} -Machen wir wirklich wirklich erst am Schluss +Es sollte mit eigenen Fitnessdaten (oder einem Beispieldatensatz) die Frage beantwortet werden, wie beeinflusst die Schlafqualität die Herzfrequenz?\\ + +Die Daten wurden von den Herstellerseiten der jeweiligen Sportuhren bzw. des Beispieldatensatzes runtergeladen. \end{abstract} \selectlanguage{ngerman} \ No newline at end of file