Heart rate variability as a biomarker for epilepsy seizure prediction

Abstract

These results indicate that the HRV signal contains valuable information and can be a predictor for epilepsy seizure. Although our results in comparison with EEG ares a little bit weaker, the recording of ECG is much easier and faster than EEG. Also, our finding showed the results of this study are considerably better than recent research based on ECG (Tab. 1, Fig. 10, Ref. 17).

Pre-ictal heart rate changes: A systematic review and meta-analysis

“…Eighteen included adults [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29], four children only [29][30][31][32][33], and seven both adults and children [34][35][36][37][38][39][40]. The age group was not reported in one study [41]. Fourteen studies included people with different type of focal epilepsy [12][13][14][15][16][17][18][19][20][34][35][36][37]41], 11 TLE [21][22][23][24][25][26]…”

“…The age group was not reported in one study [41]. Fourteen studies included people with different type of focal epilepsy [12][13][14][15][16][17][18][19][20][34][35][36][37]41], 11 TLE [21][22][23][24][25][26][27][28][29][30][31], four a combined sample of focal and generalized epilepsy [32,33,38,39], and one nocturnal frontal lobe epilepsy (NFLE) [40]. Fifteen studies included drug-resistant patients [14][15][16][17][20][21][22]26,28,30,33,35], three non-refractory patients and 12 did not report if patients were drug-resistant or not [12,13,24,25,27,…”

“…Twenty-one studies included complex partial seizures (CPS) alone or in combination with other seizure types [15][16][17][18][19][20][21][22][23][26][27][28][29][30][31]33,[35][36][37][38][39][40]. The definition of the pre-ictal and ictal periods was based on seizure onset, identified by clinical [21,25,41], EEG [13,14,16-18,20,23,29-32-34,36-39], or either clinical and EEG manifestations [15,22,27,30,31]. It was not reported in five studies [12,19,24,28,41].…”

Heart rate variability and systemic hemodynamic state in adults with a first time, non-traumatic epileptic seizure during an orthoclinostatic stress test

“…Ó ïàöèåíòîâ ñ íåñïðîâîöèðîâàííûìè ïðèñòóïàìè â îðòîñòàòè÷åñêîì ïîëîaeåíèè çíà÷åíèå êîýôôèöèåíòà LF / HF áûëî ïîâûøåíî, ÷òî õàðàêòåðèçîâàëî áîëüøèé ïî ñðàâíåíèþ ñ äðóãèìè ãðóïïàìè ñäâèã ñèìïàòî-âàãàëüíîãî áàëàíñà â ñòîðîíó íèçêî÷àñòîòíûõ êîëåáàíèé ïðè àêòèâàöèè áàðîðåöåïòîðîâ. Ìîaeíî ïðåäïîëàãàòü, ÷òî âûÿâëåííàÿ ãèïåðñèìïàòèêîòîíèÿ â îðòîñòàçå ó ïàöèåíòîâ ñ íåñïðîâîöèðîâàííûìè ïðèñòóïàìè ÿâëÿåòñÿ ÷àñòíûì ïðîÿâëåíèåì ïîâûøåííîé ðåôëåêòîðíîé âîçáóäèìîñòè, õàðàêòåðíîé äëÿ ëèö ñ ãåíåòè÷åñêîé ïðåäèñïîçèöèåé ê ñóäîðîãàì [30].…”

Nonlinear Analysis of EEG Dynamics in Different Epilepsy States Using Lagged PoincarÉ Maps

“…Ali et al based on Poincaré analysis presented [12] children with epilepsy may be particularly susceptible to seizure-induced arrhythmias. Moridani and Farhadi used [13] HRV signal as a biomarker for epilepsy seizure prediction using Poincaré map. The results show that the HRV contains valuable information and can be used as an epilepsy seizure predictor.…”