rf_polysomnography_respiration_data_00

This dataset contains the raw RF measurements, polysomnography, and patient data gathered during day 00 of a 20-day study. All patient data has been anonymized.
<br><br>
We are pleased to have other researchers make use of this data for their own algorithm development and understanding of respiratory monitoring with RF devices. We ask that you cite the following article if you make use of this data in your research.
<br><br>
<blockquote>
P. Hillyard, A. Luong, A. S. Abrar, N. Patwari, K. Sundar, R. Farney, J. Burch, C. A. Porucznik, and S. H. Pollard. “Experience: Cross-Technology Radio Respiratory Monitoring Performance Study”. In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking (MobiCom 2018), New Delhi, India, to appear, 29 Oct. 2018. </blockquote>
<br><br>
Links to all 20 days of data:
<br><br>
<a href="https://doi.org/10.7910/DVN/X7AYXQ">Dataset for day00</a> <br>
<a href="https://doi.org/10.7910/DVN/LFXTTU">Dataset for day01</a> <br>
<a href="https://doi.org/10.7910/DVN/XYKQKM">Dataset for day02</a> <br>
<a href="https://doi.org/10.7910/DVN/8B9XUH">Dataset for day03</a> <br>
<a href="https://doi.org/10.7910/DVN/NWBCOX">Dataset for day04</a> <br>
<a href="https://doi.org/10.7910/DVN/FPAL1E">Dataset for day05</a> <br>
<a href="https://doi.org/10.7910/DVN/FATPSG">Dataset for day06</a> <br>
<a href="https://doi.org/10.7910/DVN/663ZBN">Dataset for day07</a> <br>
<a href="https://doi.org/10.7910/DVN/BIISSK">Dataset for day08</a> <br>
<a href="https://doi.org/10.7910/DVN/0NTCW4">Dataset for day09</a> <br>
<a href="https://doi.org/10.7910/DVN/4WXAPS">Dataset for day10</a> <br>
<a href="https://doi.org/10.7910/DVN/6PYP1T">Dataset for day11</a> <br>
<a href="https://doi.org/10.7910/DVN/TUXIHV">Dataset for day12</a> <br>
<a href="https://doi.org/10.7910/DVN/RB51U7">Dataset for day13</a> <br>
<a href="https://doi.org/10.7910/DVN/ESBCCX">Dataset for day14</a> <br>
<a href="https://doi.org/10.7910/DVN/HFCNV8">Dataset for day15</a> <br>
<a href="https://doi.org/10.7910/DVN/ATX7SB">Dataset for day16</a> <br>
<a href="https://doi.org/10.7910/DVN/WE0BMU">Dataset for day17</a> <br>
<a href="https://doi.org/10.7910/DVN/H5MYRD">Dataset for day18</a> <br>
<a href="https://doi.org/10.7910/DVN/3JJMQR">Dataset for day19</a>

本数据集收录了一项为期20天的研究中第00天采集的原始射频（Radio Frequency, RF）测量数据、多导睡眠图（polysomnography）数据以及受试者数据，所有受试者数据均已完成匿名化处理。<br><br>我们诚挚欢迎其他研究人员使用本数据集开展算法研发，以及探索基于射频设备的呼吸监测技术。若您在研究中使用本数据集，请引用下述文献。<br><br><blockquote>P. Hillyard、A. Luong、A. S. Abrar、N. Patwari、K. Sundar、R. Farney、J. Burch、C. A. Porucznik与S. H. Pollard：《经验：跨技术无线电呼吸监测性能研究》（Experience: Cross-Technology Radio Respiratory Monitoring Performance Study），收录于第24届年度移动计算与网络国际会议（MobiCom 2018）论文集，印度新德里，2018年10月29日（待刊）。</blockquote><br><br>全部20天数据集的链接如下：<br><br><a href="https://doi.org/10.7910/DVN/X7AYXQ">第00天数据集</a> <br><a href="https://doi.org/10.7910/DVN/LFXTTU">第01天数据集</a> <br><a href="https://doi.org/10.7910/DVN/XYKQKM">第02天数据集</a> <br><a href="https://doi.org/10.7910/DVN/8B9XUH">第03天数据集</a> <br><a href="https://doi.org/10.7910/DVN/NWBCOX">第04天数据集</a> <br><a href="https://doi.org/10.7910/DVN/FPAL1E">第05天数据集</a> <br><a href="https://doi.org/10.7910/DVN/FATPSG">第06天数据集</a> <br><a href="https://doi.org/10.7910/DVN/663ZBN">第07天数据集</a> <br><a href="https://doi.org/10.7910/DVN/BIISSK">第08天数据集</a> <br><a href="https://doi.org/10.7910/DVN/0NTCW4">第09天数据集</a> <br><a href="https://doi.org/10.7910/DVN/4WXAPS">第10天数据集</a> <br><a href="https://doi.org/10.7910/DVN/6PYP1T">第11天数据集</a> <br><a href="https://doi.org/10.7910/DVN/TUXIHV">第12天数据集</a> <br><a href="https://doi.org/10.7910/DVN/RB51U7">第13天数据集</a> <br><a href="https://doi.org/10.7910/DVN/ESBCCX">第14天数据集</a> <br><a href="https://doi.org/10.7910/DVN/HFCNV8">第15天数据集</a> <br><a href="https://doi.org/10.7910/DVN/ATX7SB">第16天数据集</a> <br><a href="https://doi.org/10.7910/DVN/WE0BMU">第17天数据集</a> <br><a href="https://doi.org/10.7910/DVN/H5MYRD">第18天数据集</a> <br><a href="https://doi.org/10.7910/DVN/3JJMQR">第19天数据集</a>

搜集汇总

背景与挑战

背景概述

该数据集是20天呼吸监测研究的第一天数据，包含匿名患者的RF测量和多导睡眠图数据，主要用于无线电呼吸监测算法的开发研究，使用需遵守CC0许可并引用指定论文。