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Research article Special Issues

Characterizing the functional ANOVA model for repeated measures via PCA application to biomechanical data

  • Gait analysis is a branch of biomechanics where its purpose is the study of mechanical laws relating to the way the body moves from one place to another. In most cases, the data sets for human gait analysis consist of continuous recordings of multiple physical activities, including kinematics and muscle performance. Despite the registered data being functions, the most common practice to detect any anomalies among experimental conditions consists of analyzing the vector of discrete observations or even summary measures of the curves. This fact causes an important information loss since the continuous nature of the data is being ignored. A suitable solution is to apply functional data analysis for analyzing continuous biomechanical data as functions, revealing the true nature of movement and allowing us to model and forecast the data with more precision. In the current paper, a new functional methodology for the analysis of variance with repeated measures was introduced. In particular, since functional data variability can be summarized by their first principal component scores, we proposed to turn the functional model into a multivariate one for the response of the most explicative principal components, and then, considered a semi-parametric approach to overcome the restrictive assumptions required in the classic repeated measures design. The motivation of this research was to contrast the differences in gait patterns of elementary school students when walking to school, depending on the type of bag they use to carry their school materials. The analysis reveals that gait joint movement is influenced by sex and the type of schoolbag, regardless of the load carried.

    Citation: Helena Ortiz, Christian Acal, Manuel Escabias, Ana M. Aguilera. Characterizing the functional ANOVA model for repeated measures via PCA application to biomechanical data[J]. AIMS Mathematics, 2025, 10(4): 8468-8494. doi: 10.3934/math.2025390

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  • Gait analysis is a branch of biomechanics where its purpose is the study of mechanical laws relating to the way the body moves from one place to another. In most cases, the data sets for human gait analysis consist of continuous recordings of multiple physical activities, including kinematics and muscle performance. Despite the registered data being functions, the most common practice to detect any anomalies among experimental conditions consists of analyzing the vector of discrete observations or even summary measures of the curves. This fact causes an important information loss since the continuous nature of the data is being ignored. A suitable solution is to apply functional data analysis for analyzing continuous biomechanical data as functions, revealing the true nature of movement and allowing us to model and forecast the data with more precision. In the current paper, a new functional methodology for the analysis of variance with repeated measures was introduced. In particular, since functional data variability can be summarized by their first principal component scores, we proposed to turn the functional model into a multivariate one for the response of the most explicative principal components, and then, considered a semi-parametric approach to overcome the restrictive assumptions required in the classic repeated measures design. The motivation of this research was to contrast the differences in gait patterns of elementary school students when walking to school, depending on the type of bag they use to carry their school materials. The analysis reveals that gait joint movement is influenced by sex and the type of schoolbag, regardless of the load carried.



    The purpose of this paper is to study the global behavior of the following max-type system of difference equations of the second order with four variables and period-two parameters

    {xn=max{An,zn1yn2},yn=max{Bn,wn1xn2},zn=max{Cn,xn1wn2},wn=max{Dn,yn1zn2},  nN0{0,1,2,}, (1.1)

    where An,Bn,Cn,DnR+(0,+) are periodic sequences with period 2 and the initial values xi,yi,zi,wiR+ (1i2). To do this we will use some methods and ideas which stems from [1,2]. For a more complex variant of the method, see [3]. A solution {(xn,yn,zn,wn)}+n=2 of (1.1) is called an eventually periodic solution with period T if there exists mN such that (xn,yn,zn,wn)=(xn+T,yn+T,zn+T,wn+T) holds for all nm.

    When xn=yn and zn=wn and A0=A1=B0=B1=α and C0=C1=D0=D1=β, (1.1) reduces to following max-type system of difference equations

    {xn=max{α,zn1xn2},zn=max{β,xn1zn2},  nN0. (1.2)

    Fotiades and Papaschinopoulos in [4] investigated the global behavior of (1.2) and showed that every positive solution of (1.2) is eventually periodic.

    When xn=zn and yn=wn and An=Cn and Bn=Dn, (1.1) reduces to following max-type system of difference equations

    {xn=max{An,yn1xn2},yn=max{Bn,xn1yn2},  nN0. (1.3)

    Su et al. in [5] investigated the periodicity of (1.3) and showed that every solution of (1.3) is eventually periodic.

    In 2020, Su et al. [6] studied the global behavior of positive solutions of the following max-type system of difference equations

    {xn=max{A,yntxns},yn=max{B,xntyns},  nN0,

    where A,BR+.

    In 2015, Yazlik et al. [7] studied the periodicity of positive solutions of the max-type system of difference equations

    {xn=max{1xn1,min{1,pyn1}},yn=max{1yn1,min{1,pxn1}}, nN0, (1.4)

    where pR+ and obtained in an elegant way the general solution of (1.4).

    In 2016, Sun and Xi [8], inspired by the research in [5], studied the following more general system

    {xn=max{1xnm,min{1,pynr}},yn=max{1ynm,min{1,qxnt}},  nN0, (1.5)

    where p,qR+, m,r,tN{1,2,} and the initial conditions xi,yiR+ (1is) with s=max{m,r,t} and showed that every positive solution of (1.5) is eventually periodic with period 2m.

    In [9], Stević studied the boundedness character and global attractivity of the following symmetric max-type system of difference equations

    {xn=max{B,ypn1xpn2},yn=max{B,xpn1ypn2},  nN0,

    where B,pR+ and the initial conditions xi,yiR+ (1i2).

    In 2014, motivated by results in [9], Stević [10] further study the behavior of the following max-type system of difference equations

    {xn=max{B,ypn1zpn2},yn=max{B,zpn1xpn2},zn=max{B,xpn1ypn2}.  nN0, (1.6)

    where B,pR+ and the initial conditions xi,yi,ziR+ (1i2), and showed that system (1.6) is permanent when p(0,4).

    For more many results for global behavior, eventual periodicity and the boundedness character of positive solutions of max-type difference equations and systems, please readers refer to [11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30] and the related references therein.

    In this section, we study the global behavior of system (1.1). For any n1, write

    {x2n=A2nXn,y2n=B2nYn,z2n=C2nZn,w2n=D2nWn,x2n+1=A2n+1Xn,y2n+1=B2n+1Yn,z2n+1=C2n+1Zn,w2n+1=D2n+1Wn.

    Then, (1.1) reduces to the following system

    {Xn=max{1,C2n1Zn1A2nB2nYn1},Yn=max{1,D2n1Wn1B2nA2nXn1},Zn=max{1,A2nXnC2n+1D2n+1Wn1},Wn=max{1,B2nYnD2n+1C2n+1Zn1},Zn=max{1,A2n1Xn1C2nD2nWn1},Wn=max{1,B2n1Yn1D2nC2nZn1},Xn=max{1,C2nZnA2n+1B2n+1Yn1},Yn=max{1,D2nWnB2n+1A2n+1Xn1},  nN0. (2.1)

    From (2.1) we see that it suffices to consider the global behavior of positive solutions of the following system

    {un=max{1,bvn1aAUn1},Un=max{1,BVn1aAun1},vn=max{1,aunbBVn1},Vn=max{1,AUnbBvn1},  nN0, (2.2)

    where a,b,A,BR+, the initial conditions u1,U1,v1,V1R+. If (un,Un,vn,Vn,a,A,b,B)=(Xn,Yn,Zn,Wn,A2n,B2n,C2n1,D2n1), then (2.2) is the first four equations of (2.1). If (un,Un,vn,Vn,a,A,b,B)=(Zn,Wn,Xn,Yn,C2n,D2n,A2n1,B2n1), then (2.2) is the next four equations of (2.1). In the following without loss of generality we assume aA and bB. Let {(un,Un,vn,Vn)}n=1 be a positive solution of (2.2).

    Proposition 2.1. If ab<1, then there exists a solution {(un,Un,vn,Vn)}n=1 of (2.2) such that un=vn=1 for any n1 and limnUn=limnVn=.

    Proof. Let u1=v1=1 and U1=V1=max{baA,aAB,abB}+1. Then, from (2.2) we have

    {u0=max{1,bv1aAU1}=1,U0=max{1,BV1aAu1}=BV1aA,v0=max{1,au0bBV1}=1,V0=max{1,AU0bBv1}=V1ab,

    and

    {u1=max{1,bv0aAU0}=max{1,bBV1}=1,U1=max{1,BV0aAu0}=max{1,BV1aAab}=BV1aAab,v1=max{1,au1bBV0}=max{1,aabbBV1}=1,V1=max{1,AU1bBv0}=max{1,V1(ab)2}=V1(ab)2.

    Suppose that for some kN, we have

    {uk=1,Uk=BV1aA(ab)k,vk=1,Vk=V1(ab)k+1.

    Then,

    {uk+1=max{1,bvkaAUk}=max{1,b(ab)kBV1}=1,Uk+1=max{1,BVkaAuk}=max{1,BV1aA(ab)k+1}=BV1aA(ab)k+1,vk+1=max{1,auk+1bBVk}=max{1,a(ab)k+1bBV1}=1,Vk+1=max{1,AUk+1bBvk}=max{1,V1(ab)k+2}=V1(ab)k+2.

    By mathematical induction, we can obtain the conclusion of Proposition 2.1. The proof is complete.

    Now, we assume that ab1. Then, from (2.2) it follows that

    {un=max{1,bvn1aAUn1},Un=max{1,BVn1aAun1},vn=max{1,abBVn1,vn1ABUn1Vn1},Vn=max{1,AbBvn1,Vn1abun1vn1},  nN0. (2.3)

    Lemma 2.1. The following statements hold:

    (1) For any nN0,

    un, Un, vn, Vn[1,+). (2.4)

    (2) If ab1, then for any kN and nk+2,

    {un=max{1,baAUn1,bvkaA(AB)nk1Un1Un2Vn2UkVk},Un=max{1,BaAun1,BVkaA(ab)nk1un1un2vn2ukvk},vn=max{1,abBVn1,vk(AB)nkUn1Vn1UkVk},Vn=max{1,AbBvn1,Vk(ab)nkun1vn1ukvk}. (2.5)

    (3) If ab1, then for any kN and nk+4,

    {1vnvn2,1VnAaVn2,1unmax{1,bBun2,bvkaA(AB)nk1},1Unmax{1,BbUn2,BVkaA(ab)nk1}. (2.6)

    Proof. (1) It follows from (2.2).

    (2) Since ABab1, it follows from (2.2) and (2.3) that for any kN and nk+2,

    un=max{1,bvn1aAUn1}=max{1,baAUn1max{1,abBVn2,vn2ABUn2Vn2}}=max{1,baAUn1,bvn2ABaAUn1Un2Vn2}=max{1,baAUn1,bABaAUn1Un2Vn2max{1,abBVn1,vn3ABUn3Vn3}}=max{1,baAUn1,bvn3(AB)2aAUn1Un2Vn2Un3Vn3}=max{1,baAUn1,bvkaA(AB)nk1Un1Un2Vn2UkVk}.

    In a similar way, also we can obtain the other three formulas.

    (3) By (2.5) one has that for any kN and nk+2,

    {unbaAUn1,UnBaAun1,vnabBVn1,VnAbBvn1,

    from which and (2.4) it follows that for any nk+4,

    {1unmax{1,bBun2,bvkaA(AB)nk1},1Unmax{1,BbUn2,BVkaA(ab)nk1},1vnmax{1,avn2A,vn2}=vn2,1Vnmax{1,AVn2a,Vn2}=AVn2a.

    The proof is complete.

    Proposition 2.2. If ab=AB=1, then {(un,Un,vn,Vn)}+n=1 is eventually periodic with period 2.

    Proof. By the assumption we see a=A and b=B. By (2.5) we see that for any kN and nk+2,

    {un=max{1,b3Un1,b3vkUn1Un2Vn2UkVk},Un=max{1,b3un1,b3Vkun1un2vn2ukvk},vn=max{1,a3Vn1,vkUn1Vn1UkVk},Vn=max{1,a3vn1,Vkun1vn1ukvk}. (2.7)

    (1) If a=b=1, then it follows from (2.7) and (2.4) that for any nk+4,

    {un=max{1,vkUn1Un2Vn2UkVk}max{1,vkUn2Un3Vn3UkVk}=un1,Un=max{1,Vkun1un2vn2ukvk}Un1,vn=max{1,vkUn1Vn1UkVk}vn1,Vn=max{1,Vkun1vn1ukvk}Vn1. (2.8)

    We claim that vn=1 for any n6 or Vn=1 for any n6. Indeed, if vn>1 for some n6 and Vm>1 for some m6, then

    vn=v1Un1Vn1U1V1>1,  Vm=V1um1vm1u1v1>1,

    which implies

    1v1Un1Vn1U1V1V1um1vm1u1v1=Vmvn>1.

    A contradiction.

    If vn=1 for any n6, then by (2.8) we see un=1 for any n10, which implies Un=Vn=V10.

    If Vn=1 for any n6, then by (2.8) we see Un=1 for any n10, which implies vn=un=v10.

    Then, {(un,Un,vn,Vn)}+n=1 is eventually periodic with period 2.

    (2) If a<1<b, then it follows from (2.7) that for any nk+4,

    {un=max{1,b3Un1,b3vkUn1Un2Vn2UkVk},Un=max{1,b3un1,b3Vkun1un2vn2ukvk},vn=max{1,vkUn1Vn1UkVk}vn1,Vn=max{1,Vkun1vn1ukvk}Vn1. (2.9)

    It is easy to verify vn=1 for any n6 or Vn=1 for any n6.

    If Vn=vn=1 eventually, then by (2.9) we have

    {1vkUn1Vn1UkVk eventually,1Vkun1vn1ukvk eventually.

    Since Unb3un1 and unb3Un1, we see

    {un=max{1,b3Un1,b3vkUn1Un2Vn2UkVk}=max{1,b3Un1}un2 eventually,Un=max{1,b3un1,b3Vkun1un2vn2ukvk}=max{1,b3un1}Un2 eventually,

    which implies

    {un2un=max{1,b3Un1}max{1,b3Un3}=un2 eventually,Un2Un=max{1,b3un1}max{1,b3un3}=Un2 eventually.

    If Vn>1=vn eventually, then by (2.9) we have

    {1vkUn1Vn1UkVk eventually,Vn=Vkun1vn1ukvk>1 eventually.

    Thus,

    {un=max{1,b3Un1,b3vkUn1Un2Vn2UkVk}=max{1,b3Un1}un2 eventually,Un=max{1,b3un1,b3Vkun1un2vn2ukvk}=max{1,b3Vkun1un2vn2ukvk}Un2 eventually,

    which implies

    {un2un=max{1,b3Un1}max{1,b3Un3}=un2 eventually,Un=1 eventually  or  b3Vk eventually.

    If Vn=1<vn eventually, then by (2.9) we have Un2=Un eventually and un=un1 eventually. By the above we see that {(un,Un,vn,Vn)}+n=1 is eventually periodic with period 2.

    (3) If b<1<a, then for any kN and nk+2,

    {un=max{1,b3vkUn1Un2Vn2UkVk}un1,Un=max{1,b3Vkun1un2vn2ukvk}Un1,vn=max{1,a3Vn1,vkUn1Vn1UkVk},Vn=max{1,a3vn1,Vkun1vn1ukvk}. (2.10)

    It is easy to verify un=1 for any n3 or Un=1 for any n3.

    If un=Un=1 eventually, then

    {1b3vkUn1Un2Vn2UkVk eventually,1b3Vkun1un2vn2ukvk eventually.

    Thus, by (2.6) we have

    {vn2vn=max{1,a3Vn1,vkUn1Vn1UkVk}=max{1,a3Vn1}vn2 eventually,Vn2Vn=max{1,a3vn1,Vkun1vn1ukvk}=max{1,a3vn1}Vn2 eventually.

    If un=1<Un eventually, then

    {1b3vkUn1Un2Vn2UkVk eventually,1<b3Vkun1un2vn2ukvk=Un eventually.

    Thus,

    {vn2vn=max{1,a3Vn1,vkUn1Vn1UkVk}=max{1,a3Vn1}vn2 eventually,Vn=max{1,a3vn1,Vkun1vn1ukvk}=max{1,Vkun1vn1ukvk}=1 eventually or Vk eventually.

    If un>1=Un eventually, then we have Vn=Vn2 eventually and vn=1 eventually or vn=vk eventually.

    By the above we see that {(un,Un,vn,Vn)}+n=1 is eventually periodic with period 2.

    Proposition 2.3. If ab=1<AB, then {(un,Un,vn,Vn)}+n=1 is eventually periodic with period 2.

    Proof. Note that UnBaAun1 and VnAbBvn1. By (2.5) we see that there exists NN such that for any nN,

    {un=max{1,b2AUn1}un2,Un=max{1,BaAun1,BVkaAun1un2vn2ukvk},vn=max{1,a2BVn1}vn2,Vn=max{1,AbBvn1,Vkun1vn1ukvk}. (2.11)

    It is easy to verify that un=1 for any nN+1 or vn=1 for any nN+1.

    If un=vn=1 eventually, then by (2.11) we see that Un=Un1 eventually and Vn=Vn1 eventually.

    If uM+2n>1=vn eventually for some MN, then by (2.11) and (2.4) we see that

    {uM+2n=b2AUM+2n1>1 eventually,UM+2n+1=max{1,BbUM+2n1,BVkaAuM+2nuM+2n1vM+2n1ukvk}BbUM+2n1 eventually,vn=max{1,a2BVn1}=1 eventually,Vn=max{1,AbBvn1,Vkun1vn1ukvk}Vn1 eventually.

    By (2.11) we see that Un is bounded, which implies B=b.

    If UM+2n1BVkaAuM+2nuM+2n1vM+2n1ukvk eventually, then

    UM+2n+1=BVkaAuM+2nuM+2n1vM+2n1ukvkUM+2n1 eventually.

    Thus, UM+2n+1=UM+2n1 eventually and uM+2n=uM+2n2 eventually. Otherwise, we have UM+2n+1=UM+2n1 eventually and uM+2n=uM+2n2 eventually. Thus, Vn=Vn1=max{1,AbB} eventually since limnVkun1vn1ukvk=0. By (2.2) it follows UM+2n=UM+2n2 eventually and uM+2n+1=uM+2n1 eventually.

    If vM+2n>1=un eventually for some MN, then we may show that {(un,Un,vn,Vn)}+n=1 is eventually periodic with period 2. The proof is complete.

    Proposition 2.4. If ab>1, then {(un,Un,vn,Vn)}+n=1 is eventually periodic with period 2.

    Proof. By (2.5) we see that there exists NN such that for any nN,

    {un=max{1,baAUn1},Un=max{1,BaAun1},vn=max{1,abBVn1},Vn=max{1,AbBvn1}. (2.12)

    If a<A, then for n2k+N with kN,

    vn=max{1,abBVn1}max{1,aAvn2}max{1,(aA)kvn2k},

    which implies vn=1 eventually and Vn=max{1,AbB} eventually.

    If a=A, then

    {vn=max{1,abBVn1}vn2 eventually,Vn=max{1,AbBvn1}Vn2 eventually.

    Which implies

    {vn2vn=max{1,abBVn1}max{1,abBVn3}=vn2 eventually,Vn2Vn=max{1,AbBvn1}max{1,AbBvn3}=Vn2 eventually.

    Thus, Vn,vn are eventually periodic with period 2. In a similar way, we also may show that Un,un are eventually periodic with period 2. The proof is complete.

    From (2.1), (2.2), Proposition 2.1, Proposition 2.2, Proposition 2.3 and Proposition 2.4 one has the following theorem.

    Theorem 2.1. (1) If min{A0C1,B0D1,A1C0,B1D0}<1, then system (1.1) has unbounded solutions.

    (2) If min{A0C1,B0D1,A1C0,B1D0}1, then every solution of system (1.1) is eventually periodic with period 4.

    In this paper, we study the eventual periodicity of max-type system of difference equations of the second order with four variables and period-two parameters (1.1) and obtain characteristic conditions of the coefficients under which every positive solution of (1.1) is eventually periodic or not. For further research, we plan to study the eventual periodicity of more general max-type system of difference equations by the proof methods used in this paper.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    Project supported by NSF of Guangxi (2022GXNSFAA035552) and Guangxi First-class Discipline SCPF(2022SXZD01, 2022SXYB07) and Guangxi Key Laboratory BDFE(FED2204) and Guangxi University of Finance and Economics LSEICIC(2022YB12).

    There are no conflict of interest in this article.



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