山口大学教務システム - 3262420250-システム計測工学特論Ⅱ

開講年度	開講学部等
2025	大学院創成科学研究科（博士前期）
開講学期	曜日時限	授業形態	AL（アクティブ・ラーニング）ポイント
後期	木9～10	講義
時間割番号	科目名[英文名]			使用言語	単位数
3262420250	システム計測工学特論Ⅱ[Advanced System Measurement II]			日本語	2
担当教員（責任）[ローマ字表記]					メディア授業
西藤聖二[NISHIFUJI Seiji]					ー
担当教員[ローマ字表記]
西藤聖二　[NISHIFUJI Seiji]
特定科目区分		対象学生		対象年次
ディプロマ・ポリシーに関わる項目			カリキュラムマップ(授業科目とDPとの対応関係はこちらから閲覧できます)

授業の目的と概要

One of the crucial points in measurement lies in appropriate processing and interpretation of signals measured by sensors. This class focuses brain computer interface (BCI) which connects minds with machines as one of the applications of the measurement technology. BCI typically consists of acquisition of weak brain signals originated from neurons or neural populations in a brain, reduction of various noises contaminating the signals, extraction of features reflecting the intentions and discrimination of the intentions. Namely, BCI decodes the user's intention through the three steps of signal acquisition and preprocessing, feature value extraction and intention classification. Since the establishment of BCI needs approaches from both hardware and software, BCI is a prototypical example of advanced system measurement. The purpose of this class is not only to acquire technical observations from the signal acquisition to mind decoding but also to foster a comprehensive perspective including ethics for measurement.
Note: This class will be conducted with English slides based on English textbooks. Explanations will be given in Japanese.

授業の到達目標


1. Acquisition of mathematical knowledge required for measurement. 2. Acquisition basic neuroscience observations. 3. Understanding of the measurement technology of brain signals. 4. Acquisition of basic signal processing and machine learning techniques. 5. Understanding of the outline of invasive BCI, semi-invasive BCI and non-invasive BCI, respectively.

授業計画

【全体】

This class begins with mathematical basics, fundamental neuroscience, measurement techniques of brain signals and signal processing and machine learning basics and then proceeds to variety of BCIs and its applications and BCI ethics. We discuss how the basic measurement technologies are exploited to decode minds by accumulating each observation and technique.

	項目	内容	授業時間外学習	備考

第1回	1. Guidance 2. Brain computer interface (BCI) 3. Fundamentals of mathematics 1	1. Outline of the class 2. Concept of BCI 3. Vectors, matrices and linear algebra	Review the concept of BCI (rough standard study time needed: four hours for preparation and review)

第2回

1. Fundamentals of mathematics 2
2. Basic neuroscience

1. Probability theory
2. Basic neuroscience (such as neuron)

Review the fundamentals of probability theory (rough standard study time needed: four hours for preparation and review)

第3回

1. Basic neuroscience 2
2. Recording and stimulating the brain 1

1. Organization and function of brain
2. Recording signals from the brain1.

Review the basic neuroscience (rough standard study time needed: four hours for preparation and review)

第4回

1. Recording and stimulating the brain 2
2. Signal processing 1

1. Stimulating the brain
2. Frequency domain and time domain analyses

Review the signal processing techniques (rough standard study time needed: four hours for preparation and review)

第5回

1. Signal processing 2

1. Spatial filtering and related signal processing methods

Review the signal processing techniques (rough standard study time needed: four hours for preparation and review)

第6回

1. Signal processing 3
2. Machine learning 1

1. Artifact reduction techniques
2. Classification techniques

Review the spatial filtering techniques (rough standard study time needed: four hours for preparation and review)

第7回

1. Machine learning 2

1. Multi-class classification and evaluation of classification performance

Review the classification technique (rough standard study time needed: four hours for preparation and review)

第8回

1. Machine learning 3
2. Building BCI

1. Regression technique
2. Major types of BCIs

Review the regression technique (rough standard study time needed: four hours for preparation and review)

第9回

1. Invasive BCIs 1

1. Invasive BCIs in animals

Review the invasive BCIs(rough standard study time needed: four hours for preparation and review)

第10回

1. Invasive BCIs 2
2. Semi-invasive BCIs 1

1. Invasive BCIs in humans
2. Electrocorticographic BCIs

Review the invasive BCIs (rough standard study time needed: four hours for preparation and review)

第11回

1. Semi-invasive BCIs 2
2. Non-invasive BCIs 1

1. BCIs based on peripheral nerve signals
2. Electroencephalographic BCIs

Review the semi-invasive BCIs (rough standard study time needed: four hours for preparation and review)

第12回

1. Non-invasive BCIs 2
1. BCIs that exploit stimulation

1. Non-invasive BCIs other than electroencephalographic BCIs
2. Sensory and motor restorations

Review the non-invasive BCIs (preparation and review for four hours)

第13回

1. Bidirectional and recurrent BCIs
2. Applications of BCI1

1. Bidirectional BCI for control of a robot
2. Medical applications of BCI

Review the bidirectional and recurrent BCIs (rough standard study time needed: four hours for preparation and review)

第14回

1. Applications of BCI2
2Ethics of BCI

1. Nonmedical applications of BCI
2. Medical, health and safety issues
3. Abuse of BCI technology
4. BCI security and privacy
5. Legal issues
6. Moral and social justice issues

Review the applications and ethics of BCI (rough standard study time needed: four hours for preparation and review)

第15回

Final Exam.

Final examination

Review the learned topics (rough standard study time needed: 12 hours for preparation)

第16回

Review

Review the final exam.

Review the final exam

※AL（アクティブ・ラーニング）欄に関する注
・授業全体で、AL（アクティブ・ラーニング）が占める時間の割合を、それぞれの項目ごとに示しています。
・A〜Dのアルファベットは、以下の学修形態を指しています。
【A：グループワーク】、【B：ディスカッション・ディベート】、【C：フィールドワーク（実験・実習、演習を含む）】、【D：プレゼンテーション】

A: --%　B: --%　C: --%　D: --%

成績評価法

The grade for this subject is evaluated based on the presentation in class, homework and final exam.
Presentation 5 pts, homework 55 pts and final exam. 40 pts.

教科書にかかわる情報

備考

Hand-outs will be provided each class via Moodle.

参考書にかかわる情報

参考書	書名	Brain- Computer Interfacing AN INTRODUCTION				ISBN	9781108708012
参考書	著者名	R. P. N. Rao	出版社	Cambridge University Press				出版年	2013

備考

メッセージ

BCI is a typical measurement system that consists of a combination of detection of weakly biological signals, signal processing and classification of minds. Most of the measurement techniques used in BCI can be applied to other fields as well as BCI. Participants are encouraged to have motivation to utilize knowledge of these digital signal processing techniques to own research and future work.

キーワード

Measurement, System, Brain computer interface

持続可能な開発目標（SDGs）

(保健)あらゆる年齢のすべての人々の健康的な生活を確保し、福祉を促進する。

(インフラ、産業化、イノベーション)強靱（レジリエント）なインフラ構築、包摂的かつ持続可能な産業化の促進及びイノベーションの推進を図る。

メディア授業