Detection freezing of gait (FOG) in Parkinson's patients using wearable sensors and deep learning
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 me...
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University of Qom
2023-09-01
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| Series: | مدیریت مهندسی و رایانش نرم |
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| Online Access: | https://jemsc.qom.ac.ir/article_2021_addeb21f27f273fecd47d3df19952094.pdf |
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| author | Maryam Talebvand Amir Lakizadeh Faranak Fotouhi |
| author_facet | Maryam Talebvand Amir Lakizadeh Faranak Fotouhi |
| author_sort | Maryam Talebvand |
| collection | DOAJ |
| description | 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 non-pharmacological 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. |
| format | Article |
| id | doaj-art-0cad0a21d566411092352a5706f314ba |
| institution | Kabale University |
| issn | 2538-6239 2538-2675 |
| language | fas |
| publishDate | 2023-09-01 |
| publisher | University of Qom |
| record_format | Article |
| series | مدیریت مهندسی و رایانش نرم |
| spelling | doaj-art-0cad0a21d566411092352a5706f314ba2025-01-30T20:18:53ZfasUniversity of Qomمدیریت مهندسی و رایانش نرم2538-62392538-26752023-09-0191496310.22091/JEMSC.2022.6990.11512021Detection freezing of gait (FOG) in Parkinson's patients using wearable sensors and deep learningMaryam Talebvand0Amir Lakizadeh1Faranak Fotouhi2MSc. Student, Computer Engineering Department, University of Qom, Qom, Iran. Email: m.talebvand@stu.qom.ac.irAssistant Prof., Computer Engineering Department, University of Qom, Qom, Iran. Email: lakizadeh@qom.ac.irAssistant Prof., Computer Engineering Department, University of Qom, Qom, Iran. Email: f-fotouhi@qom.ac.irFreezing 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 non-pharmacological 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.https://jemsc.qom.ac.ir/article_2021_addeb21f27f273fecd47d3df19952094.pdfdeep learningfreezing of gaitparkinson's diseaserecursive neural networks |
| spellingShingle | Maryam Talebvand Amir Lakizadeh Faranak Fotouhi Detection freezing of gait (FOG) in Parkinson's patients using wearable sensors and deep learning مدیریت مهندسی و رایانش نرم deep learning freezing of gait parkinson's disease recursive neural networks |
| title | Detection freezing of gait (FOG) in Parkinson's patients using wearable sensors and deep learning |
| title_full | Detection freezing of gait (FOG) in Parkinson's patients using wearable sensors and deep learning |
| title_fullStr | Detection freezing of gait (FOG) in Parkinson's patients using wearable sensors and deep learning |
| title_full_unstemmed | Detection freezing of gait (FOG) in Parkinson's patients using wearable sensors and deep learning |
| title_short | Detection freezing of gait (FOG) in Parkinson's patients using wearable sensors and deep learning |
| title_sort | detection freezing of gait fog in parkinson s patients using wearable sensors and deep learning |
| topic | deep learning freezing of gait parkinson's disease recursive neural networks |
| url | https://jemsc.qom.ac.ir/article_2021_addeb21f27f273fecd47d3df19952094.pdf |
| work_keys_str_mv | AT maryamtalebvand detectionfreezingofgaitfoginparkinsonspatientsusingwearablesensorsanddeeplearning AT amirlakizadeh detectionfreezingofgaitfoginparkinsonspatientsusingwearablesensorsanddeeplearning AT faranakfotouhi detectionfreezingofgaitfoginparkinsonspatientsusingwearablesensorsanddeeplearning |