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Skin Diseases and Disorders01:23

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Skin is the first line of defense and encounters a variety of microbes. Some pathogenic strains are often the cause of a broad range of infections of the skin and other body systems. These conditions can affect people of all ages and may have different causes, including genetic factors, infections, autoimmune reactions, environmental factors, and lifestyle choices.
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Skin cancer is a type of cancer that occurs when there is an abnormal growth of skin cells, usually triggered by damage to the DNA within the skin cells. It is primarily caused by exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds. Skin cancer is the most common type of cancer worldwide, and its incidence continues to rise.
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Lysosomes are the site for the degradation of macromolecules and biological polymers released during membrane trafficking events such as secretory, endocytic, autophagic, and phagocytic pathways. The membrane-enclosed area of the lysosome, called the lumen, contains hydrolytic enzymes active in an acidic environment. These acid hydrolases are functional at a pH between 4.5 and 5 and are involved in cellular processes such as cell signaling, energy metabolism, restoration of the plasma membrane,...
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Assessment and Communication for People with Disorders of Consciousness
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慢性的に安定した,高解像度のマイクロ電気皮質画像による脳コンピュータインターフェース

Erda Zhou1,2, Xiner Wang1,2, Jizhi Liang1,2

  • 12020 X-Lab, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
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PubMed
まとめ
この要約は機械生成です。

この研究は,安定したリアルタイムモーター解読のための高密度マイクロエレクトロコルチコグラフィ (μECoG) の脳コンピュータインターフェース (BCI) を導入します. この柔軟なBCIは,神経疾患の患者に改善された性能と侵襲性を提供します.

キーワード:
脳とコンピュータのインターフェース柔軟なコンフォーム型マイクロ電気機械システム高解像度マイクロエレクトロコルチコグラフィー,リアルタイムモーター解読

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Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
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科学分野:

  • 神経科学
  • 生物医学工学
  • 医療機器

背景:

  • 脳とコンピュータのインターフェース (BCI) は,神経学的障害を持つ個人のコミュニケーションと運動機能を回復するために不可欠です.
  • 従来の電気皮質撮影 (ECoG) のBCIは,空間解像度とデバイスサイズに制限があります.
  • 脳の活動解読の精度を高めるには 高密度の電極配列が必要です

研究 の 目的:

  • 高解像度で柔軟なマイクロエレクトロコルチコグラフィ (μECoG) のBCIシステムを開発し,評価する.
  • μECoG BCIの慢性安定性とリアルタイムモーター解読能力を評価する.
  • 従来のECoG BCIの限界を克服するμECoG技術の可能性を実証する.

主な方法:

  • 柔軟で高密度なμECoG電極配列を作成するためにマイクロナノ製造を使用し,電極密度は64倍に増加しました.
  • 慢性的な安定性と性能を評価するために203日間の in vivo 実験を行った.
  • ゲームやカーソル制御などのタスクのためのリアルタイムモーター解読アルゴリズムを実装します.

主要な成果:

  • μECoG BCIは203日間で慢性的に安定したパフォーマンスを示した.
  • リアルタイム・モーター・デコーディングを 達成し,トレーニングから7分以内に ゲーム制御を可能にした.
  • カーソル制御のピークビットレートは4. 15ビット/秒 (BPS) に達し,侵入性のない脳皮質内EEGBCIに匹敵する.

結論:

  • 高解像度のμECoGBCIは,より優れた解読性能のための拡張された空間特異性を提供します.
  • 柔軟で高密度のμECoG配列は,BCI技術を大幅に進歩させ,デバイスのサイズと侵入力を減少させます.
  • このμECoG BCIは 柔軟で高性能な脳コンピュータインターフェースの 臨床的実現性における 画期的な進歩を表しています