山口大学教務システム - 4261120010-動的システム信号処理論

開講年度	開講学部等
2025	大学院創成科学研究科（博士後期）
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
前期	未定
時間割番号	科目名[英文名]			使用言語	単位数
4261120010	動的システム信号処理論[Signal Processing of Dynamic System]			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.

授業の到達目標


1. Acquisition of mathematical knowledge required for electronic measurement. 2. Understanding basic neuroscience observations and measurement technology of brain signals. 4. Acquisition of 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 accumulateing each observations and techniqures.

	項目	内容	授業時間外学習	備考

第1回	1. Guidance 2. Brain computer interface (BCI)	1. Outline of the class 2. Concept of BCI	Review the concept of BCI (rough standard study time needed: four hours for preparation and review)

第2回

Basic neuroscience

Basic neuroscience from a neuron to brain structure

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

第3回

Recording and stimulating the brain

1. Recording signals from the brain
2. Stimulating the brain

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

第4回

Signal processing

1. Frequency domain and time domain analyses
2. Spatial filtering and artifact reduction techniques

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

第5回

Machine leaning

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

Review the machine learning technology (rough standard study time needed: four hours for preparation and review)

第6回

1. Building BCI
2. Invasive BCIs 1

1. Major types of BCIs
2. Invasive BCIs in animals

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

第7回

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

1.Invasive BCIs in humans
2. Major types of BCIs

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

第8回

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

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

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

第9回

Non-invasive BCIs

1. (continued) Electroencephalographic BCIs
2. Other non-invasive BCIs

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

第10回

Test of understanding from the basic neuroscience to the non-invasive BCIs

Checking comprehension of the learned topic through presentation and discussion

Prepare presentation slides for the learned topics (rough standard study time needed: twelve hours for preparation and review)

第11回

1. BCIs that exploit stimulation
2. Bidirectional and recurrent BCIs

1. Sensory and motor restorations
2. Bidirectional control of a robot

Review the BCIs that exploit stimulation and bidirectional BCIs (preparation and review for four hours)

第12回

Applications of BCIs

1. Medical applications
2. Non-medical applications

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

第13回

Ethics of BCI

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

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

第14回

Summary and supplement

1. Summary of the entire classes
2. Supplemental discussion if needed

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

第15回

Test of understanding later topics

Checking comprehension of the learned topic through presentation and discussion

Prepare presentation slides for the learned topics (rough standard study time needed: eight hours for preparation and review)

第16回

Review the leaned topics

Review the entire topics and discussion including question and answers on request

Review the entire topics and own presentation (rough standard study time needed: 4hours for preparation)

※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

教科書	書名	Brain-Compute Interfacing				ISBN	9781108708012
教科書	著者名	R. P. N Rao	出版社	Cambridge University Press				出版年	2013

備考

Hand-outs will be provided via Moodle.

参考書にかかわる情報

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