Complexity Measures for Normal and Epileptic EEG Signals using ApEn, SampEn and SEN

There are numerous applications of EEG signal processing such as monitoring alertness, coma, and brain death, controlling an aesthesia, investigating epilepsy and locating seizure origin, testing epilepsy drug effects, monitoring the brain development, and investigating mental disorders; where data size is too long and requires long time to observe the data by clinician or neurologist. EEG signal processing techniques can be used effectively in such applications. The configuration of the signal waveform may contain valuable and useful information about the different state of the brain since biological signal is highly random in both time and frequency domain. Thus computerized analysis is necessary. Being a non-stationary signal, suitable analysis is essential for EEG to differentiate the normal EEG and epileptic seizures. The importance of entropy based features to recognize the normal EEGs, and ictal as well as interictal epileptic seizures. Three features, such as, Approximate entropy, Sample entropy, and Spectral entropy are used to take out the quantitative entropy features from the given EEG time series data of various time frames of 0.88s, and 1s .Average value of entropies for epileptic time series is less than non epileptic time series

Wild edible plant used by ethnic peoples on the boundary of subtropical & temperate natural forest, Mamlay watershed, South Sikkim

350-357Wild edible plants (WEPs) are a rich bio-resource of Sikkim, Himalaya having a high nutritional value. Local people of the Sikkim commonly use wild edible plants in their diet on regular basis. This present study aimed at documenting wild edible plants utilized by the local inhabitants of Mamlay watershed which was carried out during the year 2017-2019. The study explored a total of 49 wild edible plants belonging to 31 families, 44 genera, and 49 species. About 34 WEPs were recorded from temperate natural forest TNF and 31 wild edible plants were recorded from subtropical natural forest STNF. Two studies conducted with a gap of twenty years revealed that a large part of WEPs recorded is from tree source showing a marked forest dependency. The collection of WEPs in the form of entire plants, roots or tubers was at the lowest suggesting the people’s awareness to conservation and also revealed that market price value of wild edible plants has increased highly in the study area