
    Develop a medical data sorting system that analyzes the n most recent patient vital sign readings from wearable devices and reorganizes them to group all concerning below-normal measurements (represented by negative values) before above-baseline measurements (represented by positive values), while maintaining the chronological sequence within each group. The system must preserve the temporal progression of readings within both the concerning and non-concerning categories to enable accurate trend analysis for early disease detection.
    

    
def re_arrange_array(arr, n):
    """
    Develop a medical data sorting system that analyzes the n most recent patient vital sign readings from wearable devices and reorganizes them to group all concerning below-normal measurements (represented by negative values) before above-baseline measurements (represented by positive values), while maintaining the chronological sequence within each group. The system must preserve the temporal progression of readings within both the concerning and non-concerning categories to enable accurate trend analysis for early disease detection.
    

    """
def re_arrange_array(arr, n):
    """
    Develop a medical data sorting system that analyzes the n most recent patient vital sign readings from wearable devices and reorganizes them to group all concerning below-normal measurements (represented by negative values) before above-baseline measurements (represented by positive values), while maintaining the chronological sequence within each group. The system must preserve the temporal progression of readings within both the concerning and non-concerning categories to enable accurate trend analysis for early disease detection.
    

    """
    j = 0
    for i in range(0, n):
        if arr[i] < 0:
            temp = arr[i]
            arr[i] = arr[j]
            arr[j] = temp
            j = j + 1
    return arr