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West Ashley Library
9 a.m. - 5 p.m.
Phone: (843) 766-6635
Wando Mount Pleasant Library
9 a.m. - 5 p.m.
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Village Library
9 a.m. - 1 p.m.
Phone: (843) 884-9741
St. Paul's/Hollywood Library
9 a.m. - 5 p.m.
Phone: (843) 889-3300
Otranto Road Library
9 a.m. - 5 p.m.
Phone: (843) 572-4094
Mt. Pleasant Library
9 a.m. – 5 p.m.
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Miss Jane's Building (Edisto Library Temporary Location)
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شخیص انجماد راهرفتن در بیماران مبتال به پارکینسون با استفاده از حسگرهای پوشیدنی و یادگیری عمیق. (Persian)
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- Author(s): یم طالب وند; امیر لکی زاده; انک فتوحی
- Source:
Engineering Management & Soft Computing; 2023, Vol. 9 Issue 1, p83-104, 21p- Subject Terms:
- Source:
- Additional Information
- Alternate Title: Detection freezing of gait (FOG) in Parkinson's patients using wearable sensors and deep learning. (English)
- Abstract: Freezing of the gait (FOG) is a complication of Parkinson's disease (PD) that leads to the patient's inability to perform motor activities. The occurrence of FOG reduces patients' independence in daily activities and generally reduces their quality of life. The use of computational methods can provide nonpharmacological support and complementary information about the disease to neurologists by carefully examining patients’ FOG status and increasing the likelihood of a more effective treatment. This paper presents a method for FOG detection based on deep learning and signal processing techniques. The data used for this paper is the Daphnet data collection, which is collected by the wearable sensors on the patient's body. The proposed methoddetects FOG by providing a deep neural network architecture based on two-way short-term memory networks (BDL-FOG). Experimental results show that the proposed method, due to its better compatibility with time-series data, has been able to improve the FOG detection process to achieve higher accuracy than the best available methods. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Engineering Management & Soft Computing is the property of University of Qom and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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