睡眠日記とともにウェアラブルベースの心拍数変動を含む連続した現実世界のデータセット
Aitolkyn Baigutanova1,2, Sungkyu Park3,4, Marios Constantinides5,6
1Korea Advanced Institute of Science and Technology (KAIST), School of Computing, Daejeon, 34141, Republic of Korea.
Scientific data
|August 23, 2025
まとめ
この研究は,スマートウォッチによる実際の心拍数変動 (HRV) の新しいデータセットを導入します. このデータは ウェアラブル技術と睡眠パターンを用いて 予測的な健康分析を 開発するのに役立ちます
科学分野:
- 生理学と健康情報学
- ウェアラブル テクノロジー
- 生物医学データ科学
背景:
- 心拍の変動 (HRV) 監視は,健康状態の洞察を提供します.
- 現存するHRVデータセットは,制御された臨床環境で収集されているため,現実世界の複雑性が欠けている.
- 健全な生理学的データが必要です 健康分析のためです
研究 の 目的:
- スマートウォッチを使って 生理学や運動データを 継続的に収集し検証します
- 野生のHRVの記録のための基準データセットを確立する.
- ウェアラブルデータと睡眠パターンを統合した予測的健康分析の開発を支援する.
主な方法:
- スマートウォッチを使って 4週間にわたって 49人の健康な成人の 身体や運動の信号を収集しました
- 5分間のセグメントから短期HRVの計算のために100ミリ秒間隔でサンプルを記録します.
- 信号周波数分析,センサー-HRV相関,および文献に基づく特徴分布のチェックによって検証されたデータ.
主要な成果:
- スマートウォッチの記録を リアルな環境で収集しました
- 収集した生理学的データと運動データの品質と信頼性を検証した.
- 予想されるHRVと睡眠関連特性の分布は,既存の文献と一致しています.
結論:
- 開発されたデータセットは,野生のHRVをベンチマークするための貴重なリソースを提供します.
- 健康に関する洞察を得るために 現実世界の生理学的データを分析する研究を可能にします
- ウェアラブル技術と睡眠データを用いた健康モニタリングの 予測分析の進歩をサポートします
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