-
Notifications
You must be signed in to change notification settings - Fork 0
/
aggression_analyze.m
186 lines (156 loc) · 7.7 KB
/
aggression_analyze.m
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
%
%rawdata分别10*9,将数据分别定义成前五列后五列
function [raw_data,graph,behavior_sum]=aggression_analyze(dataname,raw_data)
behavior_sum=[];j=1;
for i =1:2:size(raw_data,1)
behavior_sum.tag(j,:)=raw_data(i,:);
behavior_sum.timestamps(j,:)=raw_data(i+1,:);
j=j+1;
end
%%%behavior_sum.tag behavior_sum.timestamps
%%%find behavior_sum.tag
for i=1:size(raw_data,2)
lones=ones(size(raw_data,1)/2,1);lzeros=zeros(size(raw_data,1)/2,1);
if behavior_sum.tag(:,i)==lones&behavior_sum.timestamps(:,i)==lzeros %L为光刺激的一列
L=i;
end
end
m=size(raw_data,1)/2;n=size(raw_data,2);
bite=[];
latency=[];duration=[];event=[];
for i=1:m
if sum(behavior_sum.tag(i,:)==2)==0; %%%%判断是否有aggression
latency(i,:)=[15,15,15];
duration(i,:)=[0,0,0];
event(i,:)=[0,0,0];
else
bite=find(behavior_sum.tag(i,:)==2);
bite_first1=bite(bite(:)>L);
[~,I]=min(bite_first1(:)-L);
b_fisrt=bite_first1(I); %b为光刺激的一列
if max(bite)<L
latency(i,2)=15;
else
latency(i,2)=behavior_sum.timestamps(i,b_fisrt); %latency(i,2)为光刺激后的latency
end
bite_before=bite(bite(:)<L); %bite_before为光刺激前的bite
if behavior_sum.timestamps(i,bite(1))==15
bite_before=bite_before(bite_before~=1); %通过此步骤把第一个b=15的值删除。
bite=bite(bite~=1);
end
bite_after=bite(behavior_sum.timestamps(i,bite(:))>15&behavior_sum.timestamps(i,bite(:))<=30);
bite=bite(behavior_sum.timestamps(i,bite(:))<=30);
bite_light=[]; %很重要
% bite_light=find(bite~=bite(bite_before)&bite~=bite(bite_after)); %bite_light为光刺激的bite
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%在前后的aggression出现情况做筛选
if numel(bite_before)==0&&numel(bite_after)>0
bite_light=setxor(bite,bite_after);
event(i,:)=[0,numel(bite_light),numel(bite_after)];
latency(i,1)=15;duration(i,1)=0;duration2=0;duration3=0;
latency(i,3)=behavior_sum.timestamps(i,bite_after(1))-15;
for ii=1:numel(bite_light) %先计算光照中bite的duration
if behavior_sum.timestamps(i,bite_light(ii)+1)>15
duation1=15-behavior_sum.timestamps(i,bite_light(ii));
else
duation1=behavior_sum.timestamps(i,bite_light(ii)+1)-behavior_sum.timestamps(i,bite_light(ii));
end
duration2=duration2+duation1; %求和
end
duration(i,2)=duration2; %汇总
for jj=1:numel(bite_after) %先计算光照中bite的duration
if behavior_sum.timestamps(i,bite_after(jj)+1)>30
duation1=30-behavior_sum.timestamps(i,bite_after(jj));
else
duation1=behavior_sum.timestamps(i,bite_after(jj)+1)-behavior_sum.timestamps(i,bite_after(jj));
end
duration3=duration3+duation1; %求和
end
duration(i,3)=duration3; %汇总
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
elseif numel(bite_after)==0&numel(bite_before)>0
bite_light=setxor(bite,bite_before);
event(i,:)=[numel(bite_before),numel(bite_light),0];
latency(i,3)=15;duration(i,3)=0;duration2=0;duration3=0;
latency(i,1)=behavior_sum.timestamps(i,max(bite_before));
for ii=1:numel(bite_before) %先计算光照中bite的duration
duation1=behavior_sum.timestamps(i,bite_before(ii))-behavior_sum.timestamps(i,bite_before(ii)+1);
duration2=duration2+duation1; %求和
end
duration(i,1)=duration2; %汇总
for jj=1:numel(bite_light) %先计算光照中bite的duration
if behavior_sum.timestamps(i,bite_light(jj)+1)>15
duation1=15-behavior_sum.timestamps(i,bite_light(jj));
else
duation1=behavior_sum.timestamps(i,bite_light(jj)+1)-behavior_sum.timestamps(i,bite_light(jj));
end
duration3=duration3+duation1; %求和
end
duration(i,2)=duration3; %汇总
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
elseif numel(bite_before)==0&numel(bite_after)==0
bite_light=setxor(bite,bite_after);
event(i,:)=[0,numel(bite),0];
latency(i,1)=15;latency(i,3)=15;
duration(i,1)=0;duration(i,3)=0;
duration2=0;duration3=0;
for jj=1:numel(bite_light) %先计算光照中bite的duration
if behavior_sum.timestamps(i,bite_light(jj)+1)>15
duation1=15-behavior_sum.timestamps(i,bite_light(jj));
else
duation1=behavior_sum.timestamps(i,bite_light(jj)+1)-behavior_sum.timestamps(i,bite_light(jj));
end
duration2=duration2+duation1; %求和
end
duration(i,2)=duration2;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
else numel(bite_before)>0&numel(bite_after)>0
latency(i,1)=behavior_sum.timestamps(i,max(bite_before)); %latency(i,1)为光刺激前的latency
latency(i,3)=behavior_sum.timestamps(i,bite_after(1))-15; %latency(i,1)为光刺激前的latency
bite_light=union(bite_before,bite_after);
bite_light=setxor(bite,bite_light);
event(i,:)=[numel(bite_before),numel(bite_light),numel(bite_after)];
duration2=0;duration3=0;
for ii=1:numel(bite_before) %先计算光照中bite的duration
duation1=behavior_sum.timestamps(i,bite_before(ii))-behavior_sum.timestamps(i,bite_before(ii)+1);
duration2=duration2+duation1; %求和
end
duration(i,1)=duration2;
for ii=1:numel(bite_light) %先计算光照中bite的duration
if behavior_sum.timestamps(i,bite_light(ii)+1)>15
duation1=15-behavior_sum.timestamps(i,bite_light(ii));
else
duation1=behavior_sum.timestamps(i,bite_light(ii)+1)-behavior_sum.timestamps(i,bite_light(ii));
end
duration2=duration2+duation1; %求和
end
duration(i,2)=duration2; %汇总
for jj=1:numel(bite_after) %先计算光照中bite的duration
if behavior_sum.timestamps(i,bite_after(jj)+1)>30
duation1=30-behavior_sum.timestamps(i,bite_after(jj));
else
duation1=behavior_sum.timestamps(i,bite_after(jj)+1)-behavior_sum.timestamps(i,bite_after(jj));
end
duration3=duration3+duation1; %求和
end
duration(i,3)=duration3;
end
%%%%%%%%%%%%%%%%%%%%%%%
if latency(i,2)>15
latency(i,2)=15;
duration(i,2)=0;
event(i,2)=0;
if latency(i,2)>30;
latency(i,3)=15;
duration(i,3)=0;
event(i,3)=0;
end
end
end
end
graph=[];
graph.latency=latency;
graph.duration=duration;
graph.event=event;
fname='graph';%%%%%%%%%%%%%%返回mat文件。
name1='.mat';
save([fname,'_',dataname,name1], 'graph');