Algorithm 2 Outlier Detection Voting
1:	PROCEDURE: Outlier Detection using Voting
2:	Input: Sa, Sp, n; Actual sensor data: Sa; Predicted sensor data: Sp; Number of physiological parameters: n
3:	Output: At, Af; True alarm: At; Sensor anomaly = False alarm: Af
4:	for i = 1 : n do
5:	error(e) between Sa(i) and Sp(i) > threshold
6:	y(i) ← e (i);
7:	if count(y = i) > average n then
8:	Return At;
9:	Else
10:	Return Af;
11:	end if
12:	end