Elektrotehniški vestnik 76(4): 165-170, 2009 Electrotechnical Review: Ljubljana, Slovenija Evaluating the progress of the labour with sample entropy calculated from the uterine EMG activity Jerneja Vrhovec1,2 1 MKS Electronic Systems, Rozna dolina C. XVII/22b, 1000 Ljubljana 2 University of Ljubljana, Faculty of Electrical Engineering, Trzaska 25, 1000 Ljubljana E-pošta: jerneja.vrhovec@fe.uni-lj.si Abstract. The aim our study was to investigate the possibility to follow-up the progress of the labour by using electromyographic signals obtained from the uterine corpus and cervix. In order to interpret electromyographic signals, we used sample entropy, i.e. the measure of time - series regularity, which we calculated from uterine corpus and cervix electromyographic signals. Approaching the childbirth during a normal labour, the increased regularity in uterine corpus muscles and cervical muscles activity is indicated as a decreasing trend in the sample entropy values. Effectiveness of the oxytocin drug is reflected in reduced sample entropy values calculated from electromyographic signals of the uterus after each dose change of oxytocin. A delay in the labour, which is a result of cervical circular muscles active contractions, corresponds to greater sample entropy values calculated from the electromyographic activity of the cervix. Keywords: sample entropy, electromyographic (EMG) signals, cervical dilatation, labour progression Spremljanje poroda z vzorčno entropijo, izračunano iz elektromiografskega zapisa maternice Povzetek. V študiji smo izračunali vzorčno entropijo (SampEn) elektromiografske (EMG) aktivnosti materničnega telesa in materničnega vratu med porodom. Vzorčna entropija je mera regularnosti časovnega niza. Zanimalo nas je, kako se vrednosti SampEn spreminjajo pri normalnem poteku poroda ter kako se zastoj poroda in počasi napredujoči porod, stimuliran z oksitocinom, odražata na spreminjanju vrednosti SampEn. S približevanjem otrokovega rojstva se regularnost mišične aktivnosti materničnega telesa in materničnega vratu poveča, kar se kaže kot padajoči trend vrednosti SampEn. Učinkovitost zdravila oksitocin, ki pospešuje porod, se odraža v zmanjšanih vrednostih SampEn, izračunanih iz EMG aktivnosti materničnega telesa. Zastoj poroda, ki je lahko posledica dodatne aktivnosti cirkularnih mišic materničnega vratu, se odraža v povečanih vrednostih SampEn, izračunanih iz EMG aktivnosti materničnega vratu. Ključne besede: vzorčna entropija, elektromiografski (EMG) signali, širjenje materničnega vratu, napredovanje poroda 1 Introduction The uterus is unique among the smooth muscular organs. At term, the uterine corpus quiescent state is converted to a highly contractile state and the cervix dilates and retracts. Differences between the uterine Received 20 December 2008 Accepted 8 January 2009 corpus and cervix are regulated by independent mechanisms during a normal labour, although synergistically, they assure a successful labour [1-4]. To achieve the cervix role in pregnancy, its smooth muscle fibres, lying also longitudinally but more or less in a circular pattern, should contract satisfactorily and actively contribute to the closing of the cervical canal. In fact, due to electrical coupling between the uterine corpus and cervix, uterine corpus electrical signals may propagate through the cervix as well. Studies based on recording cervical and uterine electromyographic (EMG) activity indicate that through the latent phase of the labour the EMG activity of both parts is synchronically grouped into bursts [4-7]. But the smooth muscle fibres present in the cervix act also partly independent of the uterine corpus. In our previous studies, we found asynchronous EMG bursts that could be attributed to the independent muscle activity of a relatively unripe cervix [8]. In the early latent phase, the bursts are often superimposed on the permanent background activity. Moreover, the cervical muscle activity, recorded transversely in the cervix, is present through the entire course of the labour and contributes to the duration of the latent phase [9]. Progress in the labour is typically followed by measuring cervical dilatation and fetal head descent. Both values are outlined graphically as a partogram (see part A of Figures 1-4). The values for the cervical dilatation range along the scale from 0 to 10 cm. If the cervical dilatation lags more than two hours behind the expected dilatation, the labour is considered to be abnormal. The values of the head station range on the scale of the partogram from -5 to 5 cm. Presently, determination of the fetal head station and cervical dilatation is carried out solely by palpation, and is therefore highly subjected to errors [5]. Different methods and instruments have been designed for accurate measurement of cervical dilatation, fetal head descent or progress of the labour as a whole [5,10] but none has found its way to clinical practice. The aim of present study was to investigate the possibility to follow-up progress of the labour by using electromyographic (EMG) signals obtained from the uterine corpus and cervix. In particular, we focused on the early recognition of a labour that is becoming disfunctional. To achieve this goal, the sample entropy (SampEn) was calculated to register changes in regularity of the signals. By using entropy methods, the complexity (or its opposite, i.e. regularity) of stochastic processes can be measured. In general, the values of entropy increase with complexity of the signal and decreases with its regularity [11,12,13]. 2 Methods 2.1 Sample Entropy SampEn is a negative natural logarithm of the probability that two sequences similar for m points remain similar at the next point, where self-matches are not included [10, 11, 12]. Thus, a lower value of SampEn indicates more regularity in the time series. Formally, given N data points from a time series {x(n)}={x(1), x(2).....x(N)}, to define SampEn, one should follow these steps: 1) Form N-m+1 vectors X(1).....X(N-m+1) defined by X(i) = [x(i), x(i+1).....x(i+m-1)], for 1 < i < N-m+1. These vectors represent m consecutive values of the signal, commencing with the i-th point. 2) Calculate the distance between X(i) and X(j), d=[X(i), X(j)], as the maximum absolute difference between their respective scalar components: d[X(l), X( j)] = ^max^(|x(i+ k)-x( j + k)|). (1) 3) For a given X(i), count the number of j (1 < j < N-m, i ^ j), such that the distance between X(i) and X(j) is less than or equal to r-SD and calculate Bm (i): (2) 4) Calculate Bm as: , N-m Bm (i)=mu X Q rSD -d tX (i)-X (J)]) ■ J=1,J*' Where 0 is the Heaviside function (0(z>O)=1) and (0(z