Unit of Electronics for Sensor Systems, Department of Engineering Campus Bio-Medico University of Rome, 00128 Rome, Italy.
Sport Medicine and Science Institute, CONI (Comitato Olimpico Nazionale Italiano), 00197 Rome, Italy.
Sensors (Basel). 2019 Sep 12;19(18):3948. doi: 10.3390/s19183948.
One of the basic needs of professional athletes is the real-time and non-invasive monitoring of their activities. The use of these kind of data is necessary to develop strategies for specific tailored training in order to improve performances. The sensor system presented in this work has the aim to adopt a novel approach for the monitoring of physiological parameters, and athletes' performances, during their training. The anaerobic threshold is herein identified with the monitoring of the lactate concentration and the respiratory parameters. The data collected by the sensor are used to build a model using a supervised method (based on the partial least squares method, PLS) to predict the values of the parameters of interest. The sensor is able to measure the lactate concentration from a sample of saliva and it can estimate a respiratory parameter, such as maximal oxygen consumption, maximal carbon dioxide production and respiratory rate from a sample of exhaled breath. The main advantages of the device are the low power; the wireless communication; and the non-invasive sampling method, which allow its use in a real context of sport practice.
专业运动员的基本需求之一是实时、非侵入性地监测他们的活动。为了提高表现，必须使用这些数据来制定针对特定训练的策略。本工作中提出的传感器系统旨在采用一种新方法来监测运动员在训练期间的生理参数和表现。通过监测乳酸浓度和呼吸参数来确定无氧阈值。使用传感器收集的数据，通过有监督的方法（基于偏最小二乘法，PLS）建立模型，以预测感兴趣参数的值。该传感器能够从唾液样本中测量乳酸浓度，并能够从呼出的气体样本中估计呼吸参数，例如最大耗氧量、最大二氧化碳产量和呼吸率。该设备的主要优点是低功耗、无线通信和非侵入性采样方法，这使其能够在实际的运动实践中使用。
