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In addition, in other Nd man-machine interfaces, as shown in Figure four. Additionally, in other fields, such as the military, entertainment, and industrial systems, applications of BSNs also can be found. Figure 4. Application fields of BSNs.Social welfareed ic al Sp or ts MMilitaryOthersBSNMan-machine interface5.1. State-of-the-Art Investigation on BSN Applications five.1.1. Health-related Field BSN is mainly used in healthcare field and includes a widespread applicability for a lot of sorts of ailments. Classic clinical monitoring is commonly carried out in hospitals, where patients' condition may perhaps be impacted by the clinical environment and monitoring frequency. In contrast, monitoring based on BSNs might be carried out within a family members atmosphere, which tends to make the outcomes closer to reality. Cardiac illness diagnosis by ECG signals monitoring is a frequent application of BSNs. In Reference [1], researchers present a wearable ECG acquisition program. The program adopts the Planar-Fashionable Circuit Board (P-FCB) strategy, and screen-prints the electrodes straight on fabric, which enables long-term monitoring without having skin irritation. The electrodes have higher conductivity and adhesiveness, and can be attached on the skin surface. A different type of monitoring approach is to integrate sensors into an adhesive plaster. The plaster may be attached on the skin, which has the advantages of convenience and low cost. One example is, Reference [131] suggests integrating all the sensors on a single plaster, attaining a clever poultice with a reconfigurable sensor array. A thin flexible battery is integrated on the plaster, which improves wearability. However, this sort of energy provide mode leads to great reduction of the plaster's lifetime. Reference [132] proposes a methodI ndus t ria lt en m in rta te EnSensors 2013,using wireless power technology on sensor nodes, which can eliminate batteries and resolve the lifetime problem, and further improve the wearability with the monitoring method. Moreover to cardiac illness diagnosis, Parkinson's disease (PD) monitoring can also be one of the principle applications of the BSN approach in the medical field. Because the behavioral recognition tactics of BSN can supply long-term monitoring and credible information, it's additional persuasive than the monitoring by clinical observation. Meanwhile, the monitoring might be carried out constantly for the duration of daily life, so the patients' details is collected in true time. It truly is valuable to judge the severity of disease and provide scientific help for therapy. Behavioral recognition approaches happen to be broadly applied in lots of with the existing PD monitoring systems. As an example, in Reference [133], researchers determine movement traits connected with Parkinson's patients by wearable sensors, and attain real-time monitoring with high accuracy. In current years, numerous studies have shown the connection among PD and speech impairment. Some researchers have proposed a wide variety of speech signal processing algorithms (dysphonia measures), which has turn into a new trend for predicting the severity of PD symptoms. In Reference [134], researchers investigated the accuracy of speech signal processing algorithms that are utilized to discriminate Parkinson's suffers. Result shows that the classification accuracy can attain virtually 99 based on only ten dysphonia options. Respiratory disease therapy also can be implemented with all the aid of BSN technologies. It utilizes a respiratory sensor for monitoring depth and frequency of breathing, so as to guide pat.