In this paper, we propose an algorithm to remove movement noise in photoplethysmography (PPG) signals. To that end, we use the multipath diversity of PPG signals measured at different locations and the wavelet transform to detect movement noise in the signals. In experiments, when PPG signals have movement noise for 30% of the time, the proposed algorithm can reduce that noise to 5.18%.