外部データ取得と線形フィルタリングを使用して,不連続のPerceptTMPCとRC出力からタイムドメインデータを再構築する
Jinxin Chen1, Mandy M Koop2, Kenneth B Baker3
1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States of America.
Journal of neuroscience methods
|September 5, 2025
まとめ
Medtronicの深部脳刺激 (DBS) 記録のタイミングの誤りは,新しいアルゴリズムを使用して特定され,修正されました. この方法は,長期のDBSデータ分析のための時間同期の精度を改善します.
科学分野:
- 神経科学
- 生物医学工学
- シグナル処理
背景:
- メドトロニックのPerceptTM PCおよびRC深部脳刺激 (DBS) システムは,記録機能を提供します.
- DBSの記録中の刺激頻度の変化は,時間領域のセグメンテーションとタイミングのエラーを導入します.
- DBS中の神経活動の分析には 時間の正確なデータが不可欠です
研究 の 目的:
- メドトロニックのPerceptTM PCとRC DBSの記録のタイミングエラーを定量化するために.
- これらのタイミングエラーを修正するためのアルゴリズムを開発し,検証する.
- 特に長い録音では,DBSデータで正確な時間同期を可能にします.
主な方法:
- PerceptTM DBSのリードを使って,ex-vivoのローカル・フィールド・ポテンシャルを記録した.
- 刺激の頻度が変化し,タイミングの差異は,外部ゴールドスタンダード刺激器と比較して測定された.
- 観測されたエラーパターンと真の周波数変化のイベントに基づいてタイムシフトを修正する新しいアルゴリズムが開発されました.
主要な成果:
- PC システムと RC システムの両方で,歯のパターンと急落の線形ランパによって特徴づけられる重要なタイミングエラーが観察されました.
- PCでは -400から400ミリ秒,RCでは -1から1秒の間でした.
- 開発されたアルゴリズムは,PCのタイミング誤差を -10.07±45.06ms,RCのタイミング誤差を -23.52±17.32msに成功しました.
結論:
- この研究では,Medtronic DBSの記録におけるタイムエラーの特徴と定量化に成功しました.
- 新しいアルゴリズムは タイムエラーを効果的に修正し 時間の精度を大幅に改善します
- このアプローチは,長期のDBSデータ分析の信頼性を高めるために,潜在的に電気脳図を用いてin-vivoに適用できます.
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