Table 2.
Membership function input/output variables with fuzzy system: The X-axis shows the input variables such as heart rate, muscular spasm, body temperature, and fall detection, and the output variable named seizure type, while the Y-axis represents the degrees of membership in the [0, 1] interval.
Inputs/Outputs | Membership functions | Graphical representation of M.F. |
---|---|---|
Heart Rate (ECG): The membership functions of heart rate input come with five linguistic variables which are very low (VL), low (L) and normal (N), then high (H), very high (VH). defended as Heart Rate = μHR(h) | μHR VL(h) = {max ((1, ),0)} | ![]() |
μHR L(f) = {max (( ), 0)} | ||
μHR N(f) = {max (( ), 0)} | ||
μHR H(f) = {max (( ), 0)} | ||
μHR VH(f) = {max (( ), 0)} | ||
Muscles spasms (EMG): The membership functions of the muscles spasms (EMG) have four linguistic variables: rest (R), start (S), end (E), and relax (r), defended as Muscles spasms = μMS(m) | μMS Rest(m) = {max ((1, ),0)} | ![]() |
μMS Start(m) = {max (( ), 0)} | ||
μMS End(m) = {max (( ), 0)} | ||
μMS Relax(m) = {max (( ), 0)} | ||
Fall detection (ACC): The membership functions of the fall detection (Acc) contain three linguistic variables: low, medium, high defended as Fall detection = μFd(f) | μFd Low(f) = {max (1, ),0)} | ![]() |
μFd Medium(f) = {max (( , 0)} | ||
μFd High(f) = {max (( ), 0)} | ||
Body Temperature: The membership functions of the body temperature (Dallas) have three linguistic variables: low, normal, high defended as Body Temperature = μBT(b) | μBT Low(b) = {max ((1, ),0)} | ![]() |
μBT Normal(b) = {max (( ), 0)} | ||
μBT High(b) = {max (( ), 0)} | ||
Muscles spasms (EMG): The membership functions of the muscles spasms (EMG) have four linguistic variables: rest (R), start (S), end (E), and relax (r) defended as Muscles spasms = μMS(m) | μST Clonic(s) = {max ((1, ),0)} | ![]() |
μST Myoclonic(s) = {max (( ), 0)} | ||
μST Tonic(s) = {max (( ), 0)} | ||
μST Atonic(s) = {max (( ), 0)} | ||
μST Absence(s) = {max (( ), 0)} |