Monitoring of Huntington’s Disease Based on Wireless Sensing Technology

Abstract

Huntington’s disease (HD) is a rare genetic disorder that cannot be cured by current medical techniques. With the development of the disease, the life of patients will become more and more difficult. It is necessary to timely and effectively evaluate the development of the patient’s condition based on the patient’s clinical symptoms to help doctors to formulate a reasonable and effective treatment plan, alleviate the condition, and improve the quality of life, which reflects humane care. Currently, wearable devices or video surveillance are generally used to monitor the patients, and these schemes have some disadvantages. This paper presents a new method to monitor patients with HD using wireless sensing technology. Firstly, experimental data were collected by the self-developed microwave sensing platform (MSP), and then the data were preprocessed. Finally, support vector machine (SVM) and random forest (RF) algorithms were used to train the model. The MSP system continuously monitors patients in a non-contact way, which will not bring inconvenience to patients’ lives, and will not involve privacy issues. The experimental results show that the prediction accuracy of SVM can be as high as 98.0% and that of RF can be as high as 96.7%, which proves the feasibility of the technical scheme described in this paper.

A Systematic Review of Non-Contact Sensing for Developing a Platform to Contain COVID-19

“…Initially, coughing and shortness of breath data are collected from patients for developing a ML/DL model to classify suspected patients of COVID-19. From the literature review [ 40 , 45 , 48 , 57 , 63 , 70 ], both coughing and breathing can be monitored in a non-contact manner.…”

“…Standing, walking, sleeping, eating, bathing and postures data are collected for developing a ML/DL model to recognize the fall, sleep disorder and diet of the patient. From the literature review, heart problems, fall, sleep disorder and eating habits can be recognized by non-contact wireless sensing platforms [ 14 , 15 , 17 , 20 , 22 , 23 , 25 , 26 , 27 , 28 , 30 , 31 , 33 , 34 , 36 , 38 , 40 , 45 , 47 , 48 , 49 , 57 , 61 , 62 , 63 ].…”

“…A microwave sensing platform (MSP) was developed for continuous monitoring of HD patients in a non-contact manner. This platform also resolved patient inconvenience and privacy issues [ 57 ].…”

“…The SVM algorithm is widely applied because it is applicable to both linear and non-linear data. The classification accuracy achieved by ML and DL algorithms is over 90% [ 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 ]. The average accuracy achieved by various non-contact sensing technologies to monitor health issues is shown in Figure 2 .…”

Passive Planar Microwave Devices

“…They measured the prototype at a frequency of 18 GHz, showing a dynamic range of 600 degrees. Zhu et al [2] proposed a new method to monitor patients with Huntington's disease (HD) using wireless sensing technology. Experimental data were firstly collected by the selfdeveloped microwave sensing platform (MSP) and subsequently preprocessed.…”