
    In a remote patient monitoring system, determine how many different possible sequences of n consecutive vital sign measurements could indicate a concerning pattern, where each new measurement is at least double the previous one but does not exceed the maximum safe threshold m. This analysis is crucial for identifying potentially dangerous rapid increases in patient vital signs that require immediate medical attention.
    

    
def get_total_number_of_sequences(m, n):
    """
    In a remote patient monitoring system, determine how many different possible sequences of n consecutive vital sign measurements could indicate a concerning pattern, where each new measurement is at least double the previous one but does not exceed the maximum safe threshold m. This analysis is crucial for identifying potentially dangerous rapid increases in patient vital signs that require immediate medical attention.
    

    """
def get_total_number_of_sequences(m, n):
    """
    In a remote patient monitoring system, determine how many different possible sequences of n consecutive vital sign measurements could indicate a concerning pattern, where each new measurement is at least double the previous one but does not exceed the maximum safe threshold m. This analysis is crucial for identifying potentially dangerous rapid increases in patient vital signs that require immediate medical attention.
    

    """
    T = [[0 for i in range(n + 1)] for i in range(m + 1)]
    for i in range(m + 1):
        for j in range(n + 1):
            if i == 0 or j == 0:
                T[i][j] = 0
            elif i < j:
                T[i][j] = 0
            elif j == 1:
                T[i][j] = i
            else:
                T[i][j] = T[i - 1][j] + T[i // 2][j - 1]
    return T[m][n]