
    Design an algorithm for a remote patient monitoring system that analyzes vital sign measurement frequencies to optimize data collection intervals. Starting with an initial number of daily readings, the system needs to evaluate the effectiveness of progressively reduced monitoring frequencies by calculating the sum of readings at each interval. The calculation begins with the initial daily reading count and decreases by intervals of 2 until reaching zero or a negative value. This analysis helps healthcare providers determine the minimum effective monitoring frequency while maintaining patient safety. For example, if starting with 7 daily readings, the system would evaluate the effectiveness of 7, 5, and 3 readings per day, summing these values to assess the total monitoring coverage.
    

    
def sum_series(n):
    """
    Design an algorithm for a remote patient monitoring system that analyzes vital sign measurement frequencies to optimize data collection intervals. Starting with an initial number of daily readings, the system needs to evaluate the effectiveness of progressively reduced monitoring frequencies by calculating the sum of readings at each interval. The calculation begins with the initial daily reading count and decreases by intervals of 2 until reaching zero or a negative value. This analysis helps healthcare providers determine the minimum effective monitoring frequency while maintaining patient safety. For example, if starting with 7 daily readings, the system would evaluate the effectiveness of 7, 5, and 3 readings per day, summing these values to assess the total monitoring coverage.
    

    """
def sum_series(n):
    """
    Design an algorithm for a remote patient monitoring system that analyzes vital sign measurement frequencies to optimize data collection intervals. Starting with an initial number of daily readings, the system needs to evaluate the effectiveness of progressively reduced monitoring frequencies by calculating the sum of readings at each interval. The calculation begins with the initial daily reading count and decreases by intervals of 2 until reaching zero or a negative value. This analysis helps healthcare providers determine the minimum effective monitoring frequency while maintaining patient safety. For example, if starting with 7 daily readings, the system would evaluate the effectiveness of 7, 5, and 3 readings per day, summing these values to assess the total monitoring coverage.
    

    """
    if n < 1:
        return 0
    else:
        return n + sum_series(n - 2)