def METHOD_NAME(
    self, stride_event_list: SingleSensorStrideList, sampling_rate_hz: float
) -> pd.DataFrame:
    """Find temporal parameters  of each stride in case of single sensor.
    Parameters
    ----------
    stride_event_list
        Gait events for each stride obtained from event detection
    sampling_rate_hz
        The sampling rate of the data signal.
    Returns
    -------
    parameters_
        Data frame containing temporal parameters of single sensor
    """
    stride_event_list = set_correct_index(stride_event_list, SL_INDEX)
    stride_time_start_col, stride_time_end_col = _get_stride_time_cols(self.expected_stride_type)
    stride_time = (
        stride_event_list[stride_time_end_col] - stride_event_list[stride_time_start_col]
    ) / sampling_rate_hz
    swing_time_start_col, swing_time_end_col = _get_swing_time_cols(self.expected_stride_type)
    swing_time = (
        stride_event_list[swing_time_end_col] - stride_event_list[swing_time_start_col]
    ) / sampling_rate_hz
    stance_time = stride_time - swing_time
    stride_parameter_dict = {
        "stride_time": stride_time,
        "swing_time": swing_time,
        "stance_time": stance_time,
    }
    parameters_ = pd.DataFrame(stride_parameter_dict, index=stride_event_list.index)
    return parameters_