Recording the heart beat of cattle using a gradiometer system of optically pumped magnetometers
Recording the heart beat of cattle using a gradiometer system of optically pumped magnetometers
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DOI：
10.1016/j.compag.2020.105651
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发表时间：
2020-10-01
影响因子：
8.3
通讯作者：
Riis, Erling
中科院分区：
文献类型：
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作者：
Sutter, Jens U.;Lewis, Oliver;Riis, Erling
心率的监测有可能为动物的远程监测提供良好的数据，并且心率与动物的应激、发热、疼痛和疾病有关。然而，在驯养动物中监测心率是困难的，因为它需要对动物进行约束（这可能反过来影响心率），并且需要应用复杂的监测设备，这些设备在商业农场条件下是侵入性的或不实用的。因此，在驯养动物中不可能实现心率的精确的非侵入式自动远程监测。与肌肉和神经活动相关的生物磁学为医学传感提供了一个有前途的新兴领域，但目前仅限于磁屏蔽的临床环境。在这项研究中，我们使用生物磁传感的商业奶牛在农场条件下作为一个模型系统，以证明非接触式心磁图（MCG）的原则外，一个受控的实验室环境。通过在差分设置中布置磁力计并使用专用的低噪声电子器件，我们能够抑制共模噪声并成功记录心率、心跳间隔和心跳幅度。将MCG信号与使用常规心电图（ECG）记录的同时数据进行比较允许两个信号对齐，并且能够匹配ECG的特征，包括P波、QRS波群和T波。本研究表明，MCG有可能被开发为一种非接触性方法，用于评估成年奶牛的心率和其他心脏属性。虽然这项使用动物模型的研究显示了非屏蔽MCG的能力，但这些技术也表明了在医院环境之外的人类心脏医学中潜在的令人兴奋的机会。
Monitoring of heart rate has the potential to provide excellent data for the remote monitoring of animals, and heart rate has been associated with stress, pyrexia, pain and illness in animals. However monitoring of heart rate in domesticated animals is difficult as it entails the restraint of the animal (which may in turn affect heart rate), and the application of complex monitoring equipment that is either invasive or not practical to implement under commercial farm conditions. Therefore accurate non-invasive automated remote monitoring of heart rate has not been possible in domesticated animals. Biomagnetism associated with muscle and nerve action provides a promising emerging field in medical sensing, but it is currently confined to magnetically-shielded clinical en-vironments. In this study, we use biomagnetic sensing on commercial dairy cattle under farm conditions as a model system to show proof-of-principle for non-contact magnetocardiography (MCG) outside a controlled la-boratory environment. By arranging magnetometers in a differential set-up and using purpose-built low-noise electronics, we are able to suppress common mode noise and successfully record the heart rate, the heart beat intervals and the heart beat amplitude. Comparing the MCG signal with simultaneous data recorded using a conventional electrocardiogram (ECG) allowed alignment of the two signals, and was able to match features of the ECG including the P-wave, the QRS complex and the T-wave. This study has shown the potential for MCG to be developed as a non-contact method for the assessment of heart rate and other cardiac attributes in adult dairy cattle. Whilst this study using an animal model showed the capabilities of un-shielded MCG, these techniques also suggest potentially exciting opportunities in human cardiac medicine outside hospital environments.