How to import timestamps & durations in HH:MM:SS format from excel in R?

Question

I have an excel tablethat has a column that contains timestamps in the format HH:MM:SS.
However, after reading in the exported CSV into R, the values in the corresponding column data$timestamp are interpreted as a huge small number (e.g., 7,06018515869254E-04.)

How can I get R to interpret the numbers as they were meant to?

I've tried the following without any success (yield NA):

timeTest <- data$timestamp[1] 
print(as.POSIXct((timeTest - 719529)*86400, origin = "1970-01-01", tz = "UTC"))
print(as.POSIXct(strptime(timeTest, %Y%m%d %H%M%S")))

A hint how to achieve the desired format would be of great help!

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Here is a sample from the actual CSV:

0,692210648148148|0,692534722222222|3,24074074074088E-04

As I use | as separator, I import the data as follows:

data <- read.delim(file,header=TRUE,sep="|")

Answer 1

DF <- read.table(text="x|y|timestamp
                 0,692210648148148|0,692534722222222|3,24074074074088E-04",
                 sep="|", dec=",", header=TRUE)
library(chron)
DF$timestamp <- times(DF$timestamp)
#          x         y timestamp
#1 0.6922106 0.6925347  00:00:28