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PATCHの初期検証: 3歳から8歳の子どもたちのエネルギー消費を測定するためのオープンソースデバイス
Rahul Gosal1, Glenn Weaver2, Hannah Parker2
1University of South Carolina, Department Epidemiology and Biostatistics, Columbia, SC.
Medicine and science in sports and exercise
|September 3, 2025
まとめ
PATCHデバイスは 心拍数と加速率を使って 子どものエネルギー消費を正確に推定します 3つのモデル (CSTS,GAMM,RF) は間接カロリメトリーに匹敵する結果を示し,小児の健康追跡の可能性を検証した.
科学分野:
- 小児の生理学
- ウェアラブル技術
- バイオメディカルエンジニアリング
背景:
- 既存のエネルギー消費用のウェアラブルデバイスは 子供向けに設計されていません
- 子どもの健康を正確に追跡するためのプラットフォーム (PATCH) は,小児のエネルギー消費を測定するために開発されたオープンソースデバイスです.
- PATCHは心拍数 (HR) と加速データを使用しています.
研究 の 目的:
- 子供の酸素消費量を推定するための3つの異なるモデルを評価する.
- これらのモデルの精度を基準として間接的なカロリメトリーと比較する.
- 3歳から8歳の子供に対するPATCH装置の有効性を評価する.
主な方法:
- 52人の子供 (3歳から8歳) は,不活動から活発な活動へのプロトコルを受けていました.
- PATCH装置はHRと加速を記録し,Cosmed K5は酸素消費量 (VO2ml/kg/min) を測定した.
- 横断時間シリーズ (CSTS),汎用添加混合モデル (GAMM),ランダムフォレスト (RF) を使用し,10倍クロス検証を行った.
主要な成果:
- 3つのモデルは,低平均バイアスと比較可能な平均絶対誤差 (MAE) を示した.
- CSTSとGAMMモデルは10%の平均絶対誤差 (MAPE) を達成し,酸素消費量の86%の差異を説明しました.
- ランダムフォレスト (RF) は13%のMAPEで81%のバリエーションを説明しました.
結論:
- CSTS,GAMM,RFモデルは,PATCHデバイスを使用した子供の酸素消費量の正確で比較可能な推定値を提供します.
- PATCH装置が子供のエネルギー消費を 測定する有用性を裏付けています
- 自由に生活するより大きな集団でのさらなる検証が推奨されます.
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