Tengmas oraliqlarda qurilgan lokal interpolyatsion kubik splayn yordamida funksiyalarni yaqinlashtirish 1

1	32	-0.205	-0.205	0
2	32.1	-0.208	-0.207	0.0017
3	32.2	-0.214	-0.208	0.0061
4	32.3	-0.222	-0.21	0.012
5	32.4	-0.229	-0.211	0.0182
6	32.5	-0.236	-0.213	0.0237
7	32.6	-0.241	-0.214	0.0274
8	32.7	-0.243	-0.216	0.0279
9	32.8	-0.241	-0.217	0.0243
10	32.9	-0.234	-0.219	0.0154
11	33	-0.22	-0.22	0
12	33.1	-0.201	-0.184	0.0177
13	33.2	-0.18	-0.147	0.0326
14	33.3	-0.155	-0.111	0.0442
15	33.4	-0.126	-0.074	0.0521
16	33.5	-0.093	-0.038	0.0559
17	33.6	-0.056	-0.001	0.0553
18	33.7	-0.014	0.0355	0.0498
19	33.8	0.033	0.072	0.039
20	33.9	0.0859	0.1085	0.0226
21	34	0.145	0.145	0
22	34.1	0.2135	0.233	0.0195
23	34.2	0.2928	0.321	0.0282
24	34.3	0.3806	0.409	0.0284
25	34.4	0.4743	0.497	0.0227
26	34.5	0.5716	0.585	0.0134
27	34.6	0.6699	0.673	0.0031
28	34.7	0.7668	0.761	0.0058
29	34.8	0.86	0.849	0.011
30	34.9	0.9468	0.937	0.0098
31	35	1.025	1.025	0

Bu yerda: F(x) – EKG signal qiymatlari, S(x) – Splayn funksiya qiynatlari, – yaqinlashtirish xatoligi.

Tengmas oraliqlarda qurilgan lokal interpolyatsion splayn funksiya orqali analitik funksiya va EKG signallari interpolyatsiya qilindi va grafigi Python dasturlash tilidagi asosida tahlil qilindi. Bundan tashqari 1-jadvalda solishtirma tahlil olib borildi. Ushbu tahlillardan ko’rinib turibdiki, ushbu ishda qaralgan tengmas oraliqlarda qurilgan lokal interpolyatsion splayn funksiya biomeditsina signallarni modellashtirishda, qayta ishlash va tahlil qilishda samarali model hisoblanadi va bugungi kunda keng foydalanilmoqda.
Adabiyotlar

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