Issues regarding ICD algorithm

[masoudabedinifar]

Dear all,

The issues that need to be addressed regarding the ICD algorithm before submitting the JOSS paper could be listed as follows:

1. Add dt_data as an optional input to the ICD algorithm as we did in GSD

• We need to incorporate "dt_data" into the ICD algorithm to provide real-time information whenever it's available and given as an input to the algorithm. The onset should be updated accordingly.

2. Error handling for the cases such as [KeepControl][https://github.com/Gait sequence detection 'GSD_Output' referenced before assignment #66]

• Since the GSD algorithm requires at least 5 consecutive steps to detect the event as a gait sequence, the algorithm fails to identify the gait sequence for this special case. However, still we can apply ICD to the referred data. The issue should be solved in a way that 'gait_sequences' in https://github.com/neurogeriatricskiel/NGMT/blob/main/ngmt/modules/icd/_paraschiv.py should be optional.
  For this purpose, we need to change the algorithm in the following way. When 'gait_sequences' are not provided, the ICD should create artificial gait sequences that cover the active parts of the data and then identify initial contacts within defined limits.

3. Vertical acceleration assignment [Vertical acceleration][https://github.com/Vertical acceleration #69]

• We should try to avoid hard-coding of "acc_vertical = data["LowerBack_ACCEL_x"]" in the initial contact detection algorithm and use some methods to detect x component of the acceleration and then use it inside the algorithm to detect initial contacts.

[masoudabedinifar]

1. dt_data was added as an optional input to the ICD algorithm with commit: 96caeeb

[rmndrs89]

I have completed tasks 2 and 3. @JuliusWelzel could you transfer the "tracking_systems" and "tracked_points" algorithms for the GSD and ICD to the detect method as optional arguments??

[JuliusWelzel]

Done in d3dcda1