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<span style="font-size: 11pt; font-family: calibri, sans-serif; color: rgb(32, 31, 30); background: rgb(255, 255, 255);">Dear colleagues, I am happy to invite you to contribute to the special Issue on "Biomedical Signal Processing and Data</span><span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgb(255, 255, 255);">
Analytics in Healthcare Systems" to be published in the journal Information (http://www.mdpi.com/journal/information/, ISSN 2078-2489), an EI, Scopus et al. indexed, open access journal. I would appreciate if you could share this invitation with your collaborators
who may be interested in the subject.</span><o:p style=""><span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgb(255, 255, 255);"> </span></o:p></p>
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<span style="font-size:11.0pt;font-family:"Segoe UI",sans-serif;color:#201F1E"><br>
</span><span style="font-size: 11pt; font-family: calibri, sans-serif; color: rgb(32, 31, 30); background: rgb(255, 255, 255);">The manuscript submission deadline is 31 January 2022. This Special</span><span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgb(255, 255, 255);">
Issue on “Biomedical Signal Processing and Data Analytics in Healthcare Systems”, aim to bring together original research and review articles researching the signal and pattern processing potential of extracting physiological parameters using traditional and
modern advances in principled signal processing. Topics of interest include signal processing methods, machine learning, and intelligent methods to analyse biomedical signals, pattern processing, new measuring trends and analysis, and decision making.</span><br>
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<span>• </span><span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">Analysis of biomedical signals and images</span><br>
<span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">• Real-time decision making, prognosis, and diagnosis</span><br>
<span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">• Statistical analysis, machine learning, and deep learning for</span><span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">
biomedical signals</span><br>
<span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">• Signal processing of data collected using noninvasive sensors</span><br>
<span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">• Frequency and time-domain analysis of biomedical signals</span><br>
<span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">• New classification, filtering, and visualization methods</span><br>
<span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">• New advancements and applications of advanced and intelligent</span><span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">
processing of biosignals for various applications</span><br>
<span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">•
</span><span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">New measuring trends and analysis</span><br>
<span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">• Current and future trends in analyzing the most popular biosignals</span><span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">
such as EEG, ECG, and EMG</span><br>
<span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">• Uncertainty characterization and incorporation for</span><span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">
more robust</span><span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);"> clinical decisions</span><br>
<span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">• Differences between adult, infant, and neonate biomedical signals and</span><span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">
image analysis.</span><br>
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<span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">For more details, please visit the special issue website:</span><br>
<span style="font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ascii-theme-font:minor-latin;mso-hansi-theme-font:minor-latin"><a href="https://www.mdpi.com/journal/information/special_issues/biomedical_signal_processing_data_analytics" target="_blank" data-auth="NotApplicable" data-linkindex="0"><span style="mso-bidi-font-family:"Segoe UI";border:none windowtext 1.0pt;mso-border-alt:none windowtext 0cm;padding:0cm;background:white">https://www.mdpi.com/journal/information/special_issues/biomedical_signal_processing_data_analytics</span></a><o:p> </o:p></span></p>
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<span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">Kind regards,</span></div>
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<span style="font-family: calibri, sans-serif; font-size: 11pt; color: rgb(32, 31, 30); background-color: rgba(0, 0, 0, 0);">Randa</span></div>
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