You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: biosignal_noise_gen.m
    path of file: ./repos/OSET/matlab/tools/modeling
    
    the code of the file until where you have to start completion: function noise = biosignal_noise_gen(noisetype, SignalPower, snr, N, varargin)
% biosignal_noise_gen - Generate biosignal noise based on various types.

    
function noise = biosignal_noise_gen(noisetype, SignalPower, snr, N, varargin)
% biosignal_noise_gen - Generate biosignal noise based on various types.
%
% Description:
%   This function generates biosignal noise based on different modes, such
%   as white noise, colored noise, real muscle artifacts, real electrode
%   movements, real baseline wander, or a mixture of real baseline wander,
%   electrode movements, muscle artifacts and white noise. The real noise
%   samples have been adopted from The MIT-BIH Noise Stress Test Database: 
%   https://physionet.org/content/nstdb/1.0.0/
% 
% Usage:
%       WN =  biosignal_noise_gen(0,SignalPower,snr,N,seed);
%       CN =  biosignal_noise_gen(1,SignalPower,snr,N,fs,beta,seed);
%       MA =  biosignal_noise_gen(2,SignalPower,snr,N,fs,seed);
%       EM =  biosignal_noise_gen(3,SignalPower,snr,N,fs,seed);
%       BW =  biosignal_noise_gen(4,SignalPower,snr,N,fs,seed);
%       MX =  biosignal_noise_gen(5,SignalPower,snr,N,fs,[w_bw,w_em,w_ma],seed);
%
% Modes:
%   0: White Noise (WN)
%   1: Colored Noise (CN)
%   2: Real Muscle Artifacts (MA)
%   3: Real Electrode Movements (EM)
%   4: Real Baseline Wander (BW)
%   5: Mixture of Real BW, EM, and MA (MX)
%
% Inputs:
%   noisetype: Type of noise to generate (0-5).
%   SignalPower: Desired signal power (set to mean(x.^2) for data vector x).
%   snr: Desired Signal-to-Noise Ratio (DNR) in dB.
%   N: Number of samples.
%   Additional input arguments based on the mode.
%       For mode 0: seed (optional). random seed
%       For mode 1: fs (sampling frequency), beta (noise coloring factor), seed (optional)
%       For mode 2, 3, 4: fs (sampling frequency), seed (optional)
%       For mode 5: fs (sampling frequency), [w_bw, w_em, w_ma] (weights of BW, EM, MA), seed (optional)
%
% Output:
%   noise: Column vector of generated noise.
%
% References:
%   Sameni, R., Clifford, G. D., Jutten, C., & Shamsollahi, M. B. (2007).
%   Multichannel ECG and Noise Modeling: Application to Maternal and Fetal
%   ECG Signals. EURASIP Journal on Advances in Signal Processing, 2007(1).
% 
% Revision History:
%   2006: First release.
%   2023: Documented and renamed from deprecated version NoiseGenerator.
%
% Reza Sameni, 2006-2023
% The Open-Source Electrophysiological Toolbox
% https://github.com/alphanumericslab/OSET

switch noisetype
    case 0     % White Noise
        if nargin == 5
            rng(varargin{1});
        end