Ninapro dataset 5 (double Myo armband)

The 5th Ninapro database includes 10 intact subjects recorded with two Thalmic Myo (https://www.myo.com/) armbands. The database can be used to test the Myo armbands separately as well. The database is thoroughly described in the paper: "Pizzolato et al., Comparison of Six Electromyography Acquisition Setups on Hand Movement Classification Tasks, Plos One 2017 (accepted).". Please, cite this paper for any work related to the 5th Ninapro database. The dataset is part of the Ninapro database (http://ninapro.hevs.ch/). Please, look at the database for more information. Acquisition Protocol The subjects have to repeat several movements represented by movies that are shown on the screen of a laptop. The experiment is divided in three exercises: 1. Basic movements of the fingers 2. Isometric, isotonic hand configurations and basic wrist movements 3. Grasping and functional movements During the acquisition, the subjects were asked to repeat the movements with the right hand. Each movement repetition lasted 5 seconds and was followed by 3 seconds of rest. The protocol includes 6 repetitions of 52 different movements (plus rest) performed by 10 intact subjects. The movements were selected from the hand taxonomy as well as from hand robotics literature. Acquisition Setup The muscular activity is gathered using 2 Thalmic Myo armbands. The database can be used to test the Myo armbands separately as well. The subjects in this database wore two Myo armbands one next to the other, including 16 active single–differential wireless electrodes. The top Myo armband is placed closed to the elbow with the first sensor placed on the radio humeral joint, as in the standard Ninapro configuration for the equally spaced electrodes; the second Myo armband is placed just after the first, nearer to the hand, tilted of 22.5 degrees. This configuration provides an extended uniform muscle mapping at an extremely affordable cost. The Myo sensors do not require the arm to be shaved and after few minutes the armband tighten very firmly to the arm of the subject. The sEMG signals are sampled at a rate of 200 Hz. The kinematic information is recorded with a dataglove (22 sensors Cyberglove 2). The cyberglove signal corresponds to raw data from the cyberglove sensors located as shown in the following pictures. The raw data are declared to be proportional to the angles at the joints in the CyberGlove manual. Data Sets For each exercise, for each subject, the database contains one matlab file with synchronized variables. The variables included in the matlab files are: • subject: the subject number; • sensor: the name of the sEMG sensor; • frequency: the frequency in Hertz of the recorded data • exercise: exercise number; • emg: sEMG signal. Columns 1-8 are the electrodes equally spaced around the forearm at the height of the radio humeral joint. Columns 9-16 represent the second Myo, tilted by 22.5 degrees clockwise. • acc (3 columns): raw signals from the three axis accelerometer of the first Myo, found in the Myo DB • glove (22 columns): uncalibrated signal from the 22 sensors of the CyberGlove. The raw data are declared to be proportional to the angles of the joints in the CyberGlove manual. • stimulus: the original label of the movement repeated by the subject; • restimulus: the corrected stimulus, processed with movement detection algorithms; • repetition: stimulus repetition index; • rerepetition: restimulus repetition index; • age: subject’s age; • gender: subject’s gender, ”m” for male ”f” for female; • weight: subject’s weight in kilograms; • height: subject’s height in centimeters; • laterality: subject’s laterality, ”r” for right-handed, ”l” for left-handed; • circumference: circumference of the subject’s forearm at the radio-humeral joint height, measured in centimeters;

第五代Ninapro数据库包含10名健康受试者的采集数据，采集过程中使用了两枚Thalmic Myo臂环（https://www.myo.com/）。该数据库也可单独用于Myo臂环的性能测试。本数据库的详细说明可参阅论文：《Pizzolato等人，六种肌电采集方案在手部运动分类任务中的对比研究》，发表于PLOS ONE 2017（已接收）。凡使用第五代Ninapro数据库开展的研究，均需引用此论文。本数据集隶属于Ninapro数据库（http://ninapro.hevs.ch/），更多信息可访问该数据库官网。

### 采集协议
受试者需重复播放于笔记本电脑屏幕上的影片所演示的多项手部动作。实验分为三个任务模块：
1. 手指基础动作
2. 等长、等张手部姿态及基础腕部动作
3. 抓握与功能性动作
采集过程中，受试者需使用右手完成动作重复，单次动作持续5秒，随后休息3秒。本采集方案包含10名健康受试者完成的52种不同动作（含静息状态），每种动作重复6次。所选动作源自手部分类学及手部机器人学相关文献。

### 采集装置
肌电信号通过两枚Thalmic Myo臂环采集，该数据库也可单独用于Myo臂环的性能测试。本数据库的受试者佩戴两枚相邻排布的Myo臂环，共集成16个有源单差分无线电极。上方的Myo臂环靠近肘部放置，首个传感器置于肱骨桡关节处，符合标准Ninapro数据库中等间距电极的配置要求；第二枚Myo臂环紧邻第一枚，更靠近手部，倾斜角度为22.5度。该配置以极低的成本实现了覆盖范围更广且分布均匀的肌肉信号采集。Myo传感器无需剃除手臂毛发，佩戴数分钟后臂环即可牢固贴合受试者手臂。表面肌电（surface Electromyography, sEMG）信号的采样率为200Hz。运动学信息通过数据手套（Cyberglove 2，含22个传感器）采集。Cyberglove数据手套的信号对应其传感器的原始数据，传感器布局详见后续配图。根据Cyberglove官方手册，原始数据与关节角度呈正比关系。

### 数据集
针对每个任务模块与每名受试者，数据库均提供一个包含同步变量的MATLAB文件。该MATLAB文件包含以下变量：
- `subject`：受试者编号
- `sensor`：表面肌电传感器名称
- `frequency`：采集数据的采样频率，单位为赫兹（Hz）
- `exercise`：任务模块编号
- `emg`：表面肌电信号。第1至8列对应肱骨桡关节高度处前臂周向等间距排布的电极信号；第9至16列对应第二枚倾斜22.5度的Myo臂环采集的信号
- `acc`（3列）：第一枚Myo臂环的三轴加速度计原始信号（源自Myo数据库）
- `glove`（22列）：Cyberglove手套22个传感器的未校准原始信号。根据Cyberglove官方手册，该原始数据与关节角度呈正比关系
- `stimulus`：受试者所重复动作的原始标签
- `restimulus`：通过运动检测算法处理后得到的校正后动作标签
- `repetition`：原始动作重复次数索引
- `rerepetition`：校正后动作重复次数索引
- `age`：受试者年龄
- `gender`：受试者性别，"m"代表男性，"f"代表女性
- `weight`：受试者体重，单位为千克（kg）
- `height`：受试者身高，单位为厘米（cm）
- `laterality`：受试者利手属性，"r"代表右利手，"l"代表左利手
- `circumference`：受试者肱骨桡关节高度处的前臂围度，单位为厘米（cm）

搜集汇总

背景与挑战

背景概述

该数据集是Ninapro数据库的第5部分，包含10名健康受试者使用两个Thalmic Myo臂带采集的表面肌电信号数据，用于手部运动分类研究。数据采集涉及52种不同运动（包括休息），每种运动重复6次，采样频率为200 Hz，并同步记录运动学信息（通过Cyberglove 2数据手套）和加速度计数据。数据集以MATLAB文件格式提供，包含肌电信号、运动标签、受试者元数据等变量，适用于测试Myo臂带在肌电信号采集中的性能。