The human electrocardiogram (ECG) provides information of the heart electrical activity using electrodes placed on the skin. It is the key indicator to examine the electrical functions and conditions of the heart. However, the fidelity of the ECG signals is often severely degraded by noise, which might alter the morphological features and the time interval aspects of the ECG leading to false diagnoses and inadequate treatment to patients.. In this paper, we focus on the reduction of powerline interference in ECG measurements using a combined approach. We discuss the typical noise types affecting ECG recordings and describe several filtering techniques currently use to denoise ECG measurements. We propose an approach that combines unconventional ECG electric field sensors with Wiener filtering to improve ECG denoising performance. The method was evaluated using an experimental system over tissue phantom models fabricated in-house. Testing was performed using both pre-recorded ECG and noise signals. We show that our approach can lead to an overall improved noise cancelling and a corresponding improved retrieval of the desired ECG signal.