一、简介

EMG,应用电子学仪器记录肌肉静止或收缩时的电活动,及应用电刺激检查神经、肌肉兴奋及传导功能的方法。英文简称EMG。通过此检查可以确定周围神经、神经元、神经肌肉接头及肌肉本身的功能状态。
通过测定运动单位电位的时限、波幅,安静情况下有无自发的电活动,以及肌肉大力收缩的波型及波幅,可区别神经原性损害和肌原性损害,诊断脊髓前角急、慢性损害(如脊髓前灰质炎、运动神经元疾病),神经根及周围神经病变(例如肌电图检查可以协助确定神经损伤的部位、程度、范围和预后)。另外对神经嵌压性病变、神经炎、遗传代谢障碍神经病、各种肌肉病也有诊断价值。此外,肌电图还用于在各种疾病的治疗过程中追踪疾病的恢复过程及疗效。
利用计算机技术,可作肌电图的自动分析,如解析肌电图、单纤维肌电图以及巨肌电图等,提高诊断的阳性率。
肌电图检查多用针电极及应用电刺激技术,检查过程中有一定的痛苦及损伤 ,因此除非必要 ,不可滥用此项检查。另外,检查时要求肌肉能完全放松或作不同程度的用力,因而要求受检者充分合作。对于某些检查,检查前要停药,如新斯地明类药物应于检查前16小时停用
记录肌肉动作电位的曲线(电描记图)称为肌电图。缩写为EMG。实际使用的描记方法有两种:一种是表面导出法,即把电极贴附在皮肤上导出电位的方法;另一种是针电极法,即把针电极刺入肌肉导出局部电位的方法。用后一种方法能分别记录肌肉每次的动作电位,而根据从每秒数次到二、三十次的肌肉动作电位情况,发现频率的异常。应用肌电图还可以诊断运动机能失常的原因。平常所用的针电极称为同心电极,它是把细针状电极穿过注射针的中心,两者绝缘固定制成的。

二、源代码

%% Program Start
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% 名称:信号处理课程设计
%% 功能:脉搏检测系统GUI主界面
%%  
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% 

function varargout = mainjiemian(varargin)
% MAINJIEMIAN MATLAB code for mainjiemian.fig
%      MAINJIEMIAN, by itself, creates a new MAINJIEMIAN or raises the existing
%      singleton*.
%
%      H = MAINJIEMIAN returns the handle to a new MAINJIEMIAN or the handle to
%      the existing singleton*.
%
%      MAINJIEMIAN('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in MAINJIEMIAN.M with the given input arguments.
%
%      MAINJIEMIAN('Property','Value',...) creates a new MAINJIEMIAN or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before mainjiemian_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to mainjiemian_OpeningFcn via varargin.
%
%      *See GUI Options on GUIDE's Tools menu.  Choose "GUI allows only one
%      instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES

% Edit the above text to modify the response to help mainjiemian

% Last Modified by GUIDE v2.5 29-Apr-2021 12:18:07

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @mainjiemian_OpeningFcn, ...
                   'gui_OutputFcn',  @mainjiemian_OutputFcn, ...
                   'gui_LayoutFcn',  [] , ...
                   'gui_Callback',   []);
if nargin && ischar(varargin{1})
    gui_State.gui_Callback = str2func(varargin{1});
end

if nargout
    [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
    gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT


% --- Executes just before mainjiemian is made visible.
function mainjiemian_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% varargin   command line arguments to mainjiemian (see VARARGIN)

% Choose default command line output for mainjiemian
handles.output = hObject;
ha=axes('units','normalized','position',[0 0 1 1]);
uistack(ha,'down') 
II=imread('1.jpg');
image(II)
colormap gray
set(ha,'handlevisibility','off','visible','off');
% Update handles structure

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes mainjiemian wait for user response (see UIRESUME)
% uiwait(handles.figure1);


% --- Outputs from this function are returned to the command line.
function varargout = mainjiemian_OutputFcn(hObject, eventdata, handles) 
% varargout  cell array for returning output args (see VARARGOUT);
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Get default command line output from handles structure
varargout{1} = handles.output;


% --- Executes on button press in togglebutton1.
function togglebutton1_Callback(hObject, eventdata, handles)
untitled;
% hObject    handle to togglebutton1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hint: get(hObject,'Value') returns toggle state of togglebutton1


% --- Executes on button press in togglebutton2.
function togglebutton2_Callback(hObject, eventdata, handles)
yuchuli;
% hObject    handle to togglebutton2 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hint: get(hObject,'Value') returns toggle state of togglebutton2


% --- Executes on button press in togglebutton3.
function togglebutton3_Callback(hObject, eventdata, handles)
tezheng;
% hObject    handle to togglebutton3 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Hint: get(hObject,'Value') returns toggle state of togglebutton3


% --- Executes when figure1 is resized.
function figure1_SizeChangedFcn(hObject, eventdata, handles)
% hObject    handle to figure1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
if nargout
    [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
    gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT


% --- Executes just before jidian is made visible.
function jidian_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)
% varargin   command line arguments to jidian (see VARARGIN)

% Choose default command line output for jidian
handles.output = hObject;
ha=axes('units','normalized','position',[0 0 1 1]);
uistack(ha,'down') 
II=imread('666.jpg');
image(II)
colormap gray
set(ha,'handlevisibility','off','visible','off');

axes(handles.axes1);
axes(handles.axes2);
axes(handles.axes3);
axes(handles.axes4);
axes(handles.axes5);
axes(handles.axes6);
% Update handles structure
guidata(hObject, handles);

% UIWAIT makes jidian wait for user response (see UIRESUME)
% uiwait(handles.figure1);


% --- Outputs from this function are returned to the command line.
function varargout = jidian_OutputFcn(hObject, eventdata, handles) 
% varargout  cell array for returning output args (see VARARGOUT);
% hObject    handle to figure
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Get default command line output from handles structure
varargout{1} = handles.output;


% --- Executes when figure1 is resized.
function figure1_SizeChangedFcn(hObject, eventdata, handles)
% hObject    handle to figure1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)


% --- Executes on button press in pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
%%%%%把代码放到这,运行时自动加载
[filename,filepath]=uigetfile('C:UsersdellDesktop信号处理课设-----杨硕初始脉搏数据MaiBobefore.txt');
filename=[filepath,filename];
[t,Pluse_pre]=textread(filename,'%f%f','headerlines',1);%读入2个浮点值,并跳过文档的第1行
[m,n]=size(Pluse_pre);
n=3;
s3=Pluse_pre;

%%%%%%%%%%%%—————提取2000个点进行数据处理——————%%%%%%%%%%%%%%%%%%%%
fs=360;%采样率
x0=s3(1:2000);%取1到2000共2000个点
t=1:length(x0);%length(x0)指x0数组元素的个数
axes(handles.axes1);
plot(t,x0) 
xlabel('采样点');
ylabel('magtitude');
title('标准脉搏信号') 
box1=msgbox('正在加载请稍候','提示');
%%%%%%%%%%%%%%%%%%%%%%%%%%%%初步去除基线漂移%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%中值滤波%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    L1=medfilt1(x0,330); %一维中值滤波,x0为数组,即要处理原始波形,n是中值滤波器的参数,L1是滤波以后的结果(数组)
    L2=x0-L1;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%频谱%%%%%%%%%%%%%%%%%%%%%%%%
N=length(x0);%样点个数
df=fs/(N-1);%分辨率
f=(0:N-1)*df;%其中每点的频率
Y=fft(L2(1:N))/N*2;%真实的幅值
axes(handles.axes2);
plot(f(1:N/2),abs(Y(1:N/2)));%傅里叶变换后的频谱图是对称的,这里需要一半就可以了
xlabel('频率/Hz');
ylabel('振幅');
axis ( [0 100 0 0.4] );
title('中值滤波后脉搏信号频率谱') 
drawnow;

三、运行结果

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四、备注

完整代码或者代写添加QQ 1564658423

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