MEMO Box: Health Assistant for Depression With Medicine Carrier and Exercise Adjustment Driven by Edge Computing
According to the report by the World Health Organization, depression, as the leading disabling disease in the world, has aroused widespread social concern. However, the shortage of medical and nursing staff in psychiatry conflicts with the rising nursing needs of depressed patients. First, depressio...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9226434/ |
| _version_ | 1830297426299191296 |
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| author | Lixia Luan Wenjing Xiao Kai Hwang M. Shamim Hossain Ghulam Muhammad Ahmed Ghoneim |
| author_facet | Lixia Luan Wenjing Xiao Kai Hwang M. Shamim Hossain Ghulam Muhammad Ahmed Ghoneim |
| author_sort | Lixia Luan |
| collection | DOAJ |
| description | According to the report by the World Health Organization, depression, as the leading disabling disease in the world, has aroused widespread social concern. However, the shortage of medical and nursing staff in psychiatry conflicts with the rising nursing needs of depressed patients. First, depression is a chronic mental illness, its cure course is relatively long, and stable drug treatment and healthy living habits are keys to the curing process. Second, the disease feature where depression patients have stronger emotional needs and more sensitive mental states is ignored in existing health monitoring systems. In consideration of the above two aspects, a health management assistant is proposed in this paper, called MEMO box system, that focuses on emotion and takes smart medicine box as carrier. Specifically, the MEMO box system is composed of electronic medicine box and smart applications of phones, and electronic medicine box can collect the multi-mode data of patients, including their medication behaviors, daily activities, physical exercise data, and so on, which provides a data basis for the health assistant. Emotion recognition and sports detection algorithms are deployed in the edge cloud, which enables health service requests from patients to get quick response. With the cooperation of hardware and software in this system, patients are urged to take medicines on time to effectively control their conditions, and emotion cognition and exercise adjustment recommendation can be realized for depression patients through physiological data, thus providing patients with empathic sports recommendations. |
| first_indexed | 2024-12-19T07:33:43Z |
| format | Article |
| id | doaj.art-af9c96f05e5241788480b7cf7ce9dd2d |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T07:33:43Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-af9c96f05e5241788480b7cf7ce9dd2d2022-12-21T20:30:38ZengIEEEIEEE Access2169-35362020-01-01819556819557710.1109/ACCESS.2020.30317259226434MEMO Box: Health Assistant for Depression With Medicine Carrier and Exercise Adjustment Driven by Edge ComputingLixia Luan0Wenjing Xiao1https://orcid.org/0000-0002-8231-2467Kai Hwang2M. Shamim Hossain3https://orcid.org/0000-0001-5906-9422Ghulam Muhammad4https://orcid.org/0000-0002-9781-3969Ahmed Ghoneim5https://orcid.org/0000-0003-2076-8925College of Physical Education, Huazhong University of Science and Technology, Wuhan, ChinaSchool of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, ChinaSchool of Data Science, Chinese University of Hong Kong Shenzhen, Shenzhen, ChinaDepartment of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi ArabiaDepartment of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi ArabiaDepartment of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi ArabiaAccording to the report by the World Health Organization, depression, as the leading disabling disease in the world, has aroused widespread social concern. However, the shortage of medical and nursing staff in psychiatry conflicts with the rising nursing needs of depressed patients. First, depression is a chronic mental illness, its cure course is relatively long, and stable drug treatment and healthy living habits are keys to the curing process. Second, the disease feature where depression patients have stronger emotional needs and more sensitive mental states is ignored in existing health monitoring systems. In consideration of the above two aspects, a health management assistant is proposed in this paper, called MEMO box system, that focuses on emotion and takes smart medicine box as carrier. Specifically, the MEMO box system is composed of electronic medicine box and smart applications of phones, and electronic medicine box can collect the multi-mode data of patients, including their medication behaviors, daily activities, physical exercise data, and so on, which provides a data basis for the health assistant. Emotion recognition and sports detection algorithms are deployed in the edge cloud, which enables health service requests from patients to get quick response. With the cooperation of hardware and software in this system, patients are urged to take medicines on time to effectively control their conditions, and emotion cognition and exercise adjustment recommendation can be realized for depression patients through physiological data, thus providing patients with empathic sports recommendations.https://ieeexplore.ieee.org/document/9226434/Health assistantelectronic medical prescriptionemotion cognitionedge computing |
| spellingShingle | Lixia Luan Wenjing Xiao Kai Hwang M. Shamim Hossain Ghulam Muhammad Ahmed Ghoneim MEMO Box: Health Assistant for Depression With Medicine Carrier and Exercise Adjustment Driven by Edge Computing IEEE Access Health assistant electronic medical prescription emotion cognition edge computing |
| title | MEMO Box: Health Assistant for Depression With Medicine Carrier and Exercise Adjustment Driven by Edge Computing |
| title_full | MEMO Box: Health Assistant for Depression With Medicine Carrier and Exercise Adjustment Driven by Edge Computing |
| title_fullStr | MEMO Box: Health Assistant for Depression With Medicine Carrier and Exercise Adjustment Driven by Edge Computing |
| title_full_unstemmed | MEMO Box: Health Assistant for Depression With Medicine Carrier and Exercise Adjustment Driven by Edge Computing |
| title_short | MEMO Box: Health Assistant for Depression With Medicine Carrier and Exercise Adjustment Driven by Edge Computing |
| title_sort | memo box health assistant for depression with medicine carrier and exercise adjustment driven by edge computing |
| topic | Health assistant electronic medical prescription emotion cognition edge computing |
| url | https://ieeexplore.ieee.org/document/9226434/ |
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