paradoxdruid/sacmes

Software for the Analysis and Continuous Monitoring of Electrochemical Systems.

Andrew J. Bonham, PhD

Biochemistry professor, academic leader, data scientist, and nerd.

Connect with Me

Technology

sacmes's Issues

Implement better baseline subtraction

Currently, baseline subtraction is based simply on minimum data values; implement polynomial fit or other solution.

Initial thought: divide regressed data into overlapping windows, use Anderson-Darling test for normality to identify peak location, remove peak window and do polynomial fit to remaining baseline.

SACMES/sacmes/animation.py

Lines 638 to 657 in e88ad78

	###############################################
	# Absolute Max/Min Peak Height Extraction ###
	###############################################
	# -- If the user selects 'Absolute Max/Min' in the 'Peak Height
	# Extraction Settings'
	# -- within the Settings toolbar this analysis method will be used for PHE
	fit_half = round(len(eval_regress) / 2)
	min1 = min(eval_regress[:fit_half])
	min2 = min(eval_regress[fit_half:])
	max1 = max(eval_regress[:fit_half])
	max2 = max(eval_regress[fit_half:])
	################################################################
	# If the user selected Peak Height Extraction, analyze PHE ###
	################################################################
	Peak_Height = max(max1, max2) - min(min1, min2)
	if cg.SelectedOptions == "Peak Height Extraction":
	data = Peak_Height