(hrv) intervals_process handling of **kwargs

[afourcade]

Description of the bug

interval_process is defined as taking **kwargs (to be passed to :func:.signal_interpolate), and signal_interpolate is written as taking **kwargs:
In interval_process.py, line 124:
intervals = signal_interpolate(intervals_time, intervals, x_new=x_new, **kwargs)
But the definition of signal_interpolate does not allow for **kwargs:

def signal_interpolate(
    x_values, y_values=None, x_new=None, method="quadratic", fill_value=None
)

Replication

Backstory is, I was trying to use **kwargs when using hrv_frequency, to set parameters for signal_power (e.g., change the windows length for psd computation), like this for example:

hrv_frequency(rrs_dict, interpolation_rate=4, normalize=False, psd_method='welch', **{'nperseg':4*256, 'window_type':'hann'})

Though this gave me the following error message:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
File d:\BBSIG\bbsig_hrv.py:3
      [1](file:XXX/bbsig_hrv.py:1) #%%
      [2](file:XXX/bbsig_hrv.py:2) #Test changing window type
----> [3](file:XXX/bbsig_hrv.py:3) nk.hrv_frequency(rrs_dict, interpolation_rate=4, normalize=False, psd_method='welch', **{'nperseg':4*256, 'window_type':'hann'})

File XXX\Lib\site-packages\neurokit2\hrv\hrv_frequency.py:189, in hrv_frequency(peaks, sampling_rate, ulf, vlf, lf, hf, vhf, psd_method, show, silent, normalize, order_criteria, interpolation_rate, **kwargs)
    [186](file:XXX/Lib/site-packages/neurokit2/hrv/hrv_frequency.py:186) rri, rri_time, _ = _hrv_format_input(peaks, sampling_rate=sampling_rate)
    [188](file:XXX/Lib/site-packages/neurokit2/hrv/hrv_frequency.py:188) # Process R-R intervals (interpolated at 100 Hz by default)
--> [189](file:XXX/Lib/site-packages/neurokit2/hrv/hrv_frequency.py:189) rri, rri_time, sampling_rate = intervals_process(
    [190](file:XXX/Lib/site-packages/neurokit2/hrv/hrv_frequency.py:190)     rri, intervals_time=rri_time, interpolate=True, interpolation_rate=interpolation_rate, **kwargs
    [191](file:XXX/Lib/site-packages/neurokit2/hrv/hrv_frequency.py:191) )
    [193](file:XXX/Lib/site-packages/neurokit2/hrv/hrv_frequency.py:193) if interpolation_rate is None:
    [194](file:XXX/Lib/site-packages/neurokit2/hrv/hrv_frequency.py:194)     t = rri_time

File XXX\Lib\site-packages\neurokit2\hrv\intervals_process.py:124, in intervals_process(intervals, intervals_time, interpolate, interpolation_rate, detrend, **kwargs)
    [117](file:XXX/Lib/site-packages/neurokit2/hrv/intervals_process.py:117)     # Compute x-values of interpolated interval signal at requested sampling rate.
    [118](XXX/Lib/site-packages/neurokit2/hrv/intervals_process.py:118)     x_new = np.arange(
    [119](file:XXX/Lib/site-packages/neurokit2/hrv/intervals_process.py:119)         start=intervals_time[0],
    [120](file:XXX/Lib/site-packages/neurokit2/hrv/intervals_process.py:120)         stop=intervals_time[-1] + 1 / interpolation_rate,
    [121](file:XXX/Lib/site-packages/neurokit2/hrv/intervals_process.py:121)         step=1 / interpolation_rate,
    [122](file:XXX/Lib/site-packages/neurokit2/hrv/intervals_process.py:122)     )
--> [124](file:XXX/Lib/site-packages/neurokit2/hrv/intervals_process.py:124)     intervals = signal_interpolate(intervals_time, intervals, x_new=x_new, **kwargs)
    [125](file:XXX/Lib/site-packages/neurokit2/hrv/intervals_process.py:125)     intervals_time = x_new
    [126](file:XXX/Lib/site-packages/neurokit2/hrv/intervals_process.py:126) else:
    [127](file:XXX/site-packages/neurokit2/hrv/intervals_process.py:127)     # check if intervals appear to be already interpolated

TypeError: signal_interpolate() got an unexpected keyword argument 'nperseg'
---------------------------------------------------------------------------

Expected behaviour
In general, I think it would be useful to be able to change the parameters of the psd computation when using hrv_frequency, in case the user wants parameters similar to Kubios or Systole for example.

System Specifications

• OS: Windows (WindowsPE 64bit)

• Python: 3.11.9

• NeuroKit2: 0.2.10

• NumPy: 1.26.0

• Pandas: 2.2.2

• SciPy: 1.14.0

• sklearn: 1.5.1

• matplotlib: 3.9.1

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