Current status of caregivers' knowledge and demand for wearable seizure detection devices in children with epilepsy_Journal of Epilepsy

Authors：

WANG Fangping ¹ , ZHANG Jingxuan ² , YE Jinghua ¹ , YUAN Bixia ³ ,  TIAN Xiaoqin ¹

1. Department of Pediatric Neurology, Shenzhen Children’s Hospital, Shenzhen 518038, China;
2. China Medical University, Shenzhen Children’s Hospital, Shenyang, Liaoning 110000, China;
3. Shenzhen Association Against Epilepsy, Shenzhen 518038, China;

Corresponding author：

TIAN Xiaoqin, Email: 110985685@qq.com

Keywords：

Epilepsy; Seizure Detection Devices; Wearable Technology; cognition; needs; Children

DOI：

10.7507/2096-0247.202510002

Video：

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Objective This study aims to assess the current state of caregivers' awareness and demand for wearable seizure detection devices in children with epilepsy. Methods A convenience sampling approach was employed to select 207 caregivers of children with epilepsy, who met the predefined inclusion and exclusion criteria at Shenzhen Children's Hospital between April and June 2024. Data were gathered through general demographic surveys and a specialized questionnaire assessing caregivers' recognition of and demand for wearable seizure detection devices. Results The findings revealed that the majority of caregivers were largely unaware of wearable seizure detection devices, yet exhibited substantial concern over the potential for undetected seizures. Notably, a significant proportion of caregivers expressed a keen interest in adopting such devices and demonstrated a willingness to use them on a long-term basis. A moderate positive correlation was observed between caregivers' apprehension about undetected seizures and their level of interest in using wearable monitoring devices (r=0.455, P<0.001). Furthermore, most caregivers indicated a willingness to accept devices with false alarm and false negative rates of ≤25%, preferring to receive seizure alerts within one minute of onset. The majority of participants also expressed that they would only consider using the device if its cost were covered by insurance. Conclusion Caregivers of children with epilepsy exhibit significant concern over undetected seizures, coupled with limited awareness of wearable seizure detection devices. However, they express strong interest in adopting such technologies. These findings underscore the imperative to continue advancing the functionality and accessibility of these devices, enhance public awareness, and further educate caregivers to foster greater confidence and trust in wearable epilepsy monitoring solutions.

Citation： WANG Fangping, ZHANG Jingxuan, YE Jinghua, YUAN Bixia, TIAN Xiaoqin. Current status of caregivers' knowledge and demand for wearable seizure detection devices in children with epilepsy. Journal of Epilepsy, 2025, 11(6): 495-500. doi: 10.7507/2096-0247.202510002 Copy

1.	梁锦平. 国际抗癫痫联盟2017年版癫痫分类特点及其解读. 中国实用儿科杂志, 2020, 35(1): 47-54.
2.	Thurman DJ, Begley CE, Carpio A, et al. The primary prevention of epilepsy: a report of the Prevention Task Force of the International League Against Epilepsy. Epilepsia, 2018, 59(5): 905-914.
3.	李红, 赵丽, 王浪, 等. 癫痫患者病耻感的研究进展. 中国护理管理, 2017, 17(9): 1278-1281.
4.	常琳, 王小姗. 中国癫痫流行病学调查研究进展. 国际神经病学神经外科学杂志, 2012, 39(02): 161-164.
5.	魏惠, 赵文艳, 高学军. 癫痫药物治疗研究进展. 临床误诊误治, 2017, 30(6): 108-112.
6.	Jory C, Shankar R, Coker D, et al. Safe and sound? A systematic literature review of seizure detection methods for personal use. Seizure, 2016, 36: 4-15.
7.	Perez AJ, Zeadally S. Recent advances in wearable sensing technologies. Sensors (Basel), 2021, 21(20): 56-60.
8.	Beniczky S, Arbune AA, Jeppesen J, et al. Biomarkers of seizure severity derived from wearable devices. Epilepsia, 2020, 61(S1): S61-S66.
9.	Chiang S, Moss R, Patel AD, et al. Seizure detection devices and health-related quality of life: a patient- and caregiver-centered evaluation. Epilepsy & Behavior, 2020, 105: 106963.
10.	Regalia G, Onorati F, Lai M, et al. Multimodal wrist-worn devices for seizure detection and advancing research: focus on the empatica wristbands. Epilepsy Research, 2019, 153: 79-82.
11.	Onorati F, Regalia G, Caborni C, et al. Prospective study of a multimodal convulsive seizure detection wearable system on pediatric and adult patients in the epilepsy monitoring unit. Frontiers in Neurology, 2021, 12: 724904.
12.	李丽轩, 梁洪, 范勇, 等. 基于物联网和可穿戴技术的智能监护系统研发及其应用模式探索研究. 生物医学工程学杂志, 2023, 40(06): 1053-1061.
13.	刘耘竹, 洪卫军. 可穿戴电子产品发展趋势及标准化研究. 中国标准化, 2019(1): 105-111.
14.	魏海华, 邝苏慧, 韦志荣, 等. 数字疗法在癫痫中应用的研究进展. 癫痫与神经电生理学杂志, 2024, 33(1): 51-55.
15.	梅傲雪, 付聪, 吕坤, 等. 可穿戴设备在癫痫监测、预测和治疗中的应用与研究进展. 癫痫杂志, 2024, 10(5): 417-425.
16.	Patel AD, Moss R, Rust SW, et al. Patient-centered design criteria for wearable seizure detection devices. Epilepsy & Behavior, 2016, 64(Pt A): 116-121.
17.	中国抗癫痫协会. 临床诊疗指南——癫痫病分册. 人民卫生出版社, 2023: 56-57.
18.	李峥. 护理学研究方法. 北京: 人民卫生出版社, 2012: 98-99.
19.	Robert Greszki MM. The impact of speeding on data quality in nonprobability and freshly recruited probability-based online panels. Online Panel Research, 2014, 121: 76-80.
20.	彭钰娟, 师文, 韩琳, 等. 可穿戴设备在癫痫患者诊疗管理中的应用进展. 实用心脑肺血管病杂志, 2024, 32(5): 137-140.
21.	张珊珊, 常红. 可穿戴技术在癫痫患者监测及自我管理中的应用进展. 中华护理杂志, 2023, 58(19): 2422-2427.
22.	Kroner B L, Wright C, Friedman D, et al. Characteristics of epilepsy patients and caregivers who either have or have not heard of SUDEP. Epilepsia, 2014, 55(10): 1486-1494.
23.	Bruno E, Simblett S, Lang A, et al. Wearable technology in epilepsy: The views of patients, caregivers, and healthcare professionals. Epilepsy & Behavior, 2018, 85: 141-149.
24.	Herrera-Fortin T, Bou AE, Gagnon M P, et al. Seizure detection devices: A survey of needs and preferences of patients and caregivers. Epilepsy & Behavior, 2021, 114(Pt A): 107-110.
25.	Wen D, Zhang X, Lei J. Consumers’ perceived attitudes to wearable devices in health monitoring in China: a survey study. Computer Methods and Programs in Biomedicine, 2017, 140: 131-137.
26.	Sequeira L, Perrotta S, LaGrassa J, et al. Mobile and wearable technology for monitoring depressive symptoms in children and adolescents: a scoping review. Journal of Affective Disorders, 2020, 265: 314-324.
27.	Shah P, Kendall F, Khozin S, et al. Artificial intelligence and machine learning in clinical development: a translational perspective. NPJ Digital Medicine, 2019, 2: 69.
28.	Sivathamboo S, Nhu D, Piccenna L, et al. Preferences and user experiences of wearable devices in epilepsy: A systematic review and mixed-methods synthesis. Neurology, 2022, 99(13): e1380-e1392.
29.	Bruno E, Viana PF, Sperling MR, et al. Seizure detection at home: do devices on the market match the needs of people living with epilepsy and their caregivers?. Epilepsia, 2020, 61(S1): S11-S24.
30.	Van de Vel A, Smets K, Wouters K, et al. Automated non-EEG based seizure detection: do users have a say? Epilepsy & Behavior, 2016, 62: 121-128.
31.	张瑞, 李亚红, 李荣, 等. 癫痫患儿疾病家庭负担的现状及影响因素研究. 神经疾病与精神卫生, 2023, 23(7): 483-489.
32.	胡诗晨. 新技术下的医疗保险走势探究. 环球市场, 2021(19): 182-184.

1. 梁锦平. 国际抗癫痫联盟2017年版癫痫分类特点及其解读. 中国实用儿科杂志, 2020, 35(1): 47-54.
2. Thurman DJ, Begley CE, Carpio A, et al. The primary prevention of epilepsy: a report of the Prevention Task Force of the International League Against Epilepsy. Epilepsia, 2018, 59(5): 905-914.
3. 李红, 赵丽, 王浪, 等. 癫痫患者病耻感的研究进展. 中国护理管理, 2017, 17(9): 1278-1281.
4. 常琳, 王小姗. 中国癫痫流行病学调查研究进展. 国际神经病学神经外科学杂志, 2012, 39(02): 161-164.
5. 魏惠, 赵文艳, 高学军. 癫痫药物治疗研究进展. 临床误诊误治, 2017, 30(6): 108-112.
6. Jory C, Shankar R, Coker D, et al. Safe and sound? A systematic literature review of seizure detection methods for personal use. Seizure, 2016, 36: 4-15.
7. Perez AJ, Zeadally S. Recent advances in wearable sensing technologies. Sensors (Basel), 2021, 21(20): 56-60.
8. Beniczky S, Arbune AA, Jeppesen J, et al. Biomarkers of seizure severity derived from wearable devices. Epilepsia, 2020, 61(S1): S61-S66.
9. Chiang S, Moss R, Patel AD, et al. Seizure detection devices and health-related quality of life: a patient- and caregiver-centered evaluation. Epilepsy & Behavior, 2020, 105: 106963.
10. Regalia G, Onorati F, Lai M, et al. Multimodal wrist-worn devices for seizure detection and advancing research: focus on the empatica wristbands. Epilepsy Research, 2019, 153: 79-82.
11. Onorati F, Regalia G, Caborni C, et al. Prospective study of a multimodal convulsive seizure detection wearable system on pediatric and adult patients in the epilepsy monitoring unit. Frontiers in Neurology, 2021, 12: 724904.
12. 李丽轩, 梁洪, 范勇, 等. 基于物联网和可穿戴技术的智能监护系统研发及其应用模式探索研究. 生物医学工程学杂志, 2023, 40(06): 1053-1061.
13. 刘耘竹, 洪卫军. 可穿戴电子产品发展趋势及标准化研究. 中国标准化, 2019(1): 105-111.
14. 魏海华, 邝苏慧, 韦志荣, 等. 数字疗法在癫痫中应用的研究进展. 癫痫与神经电生理学杂志, 2024, 33(1): 51-55.
15. 梅傲雪, 付聪, 吕坤, 等. 可穿戴设备在癫痫监测、预测和治疗中的应用与研究进展. 癫痫杂志, 2024, 10(5): 417-425.
16. Patel AD, Moss R, Rust SW, et al. Patient-centered design criteria for wearable seizure detection devices. Epilepsy & Behavior, 2016, 64(Pt A): 116-121.
17. 中国抗癫痫协会. 临床诊疗指南——癫痫病分册. 人民卫生出版社, 2023: 56-57.
18. 李峥. 护理学研究方法. 北京: 人民卫生出版社, 2012: 98-99.
19. Robert Greszki MM. The impact of speeding on data quality in nonprobability and freshly recruited probability-based online panels. Online Panel Research, 2014, 121: 76-80.
20. 彭钰娟, 师文, 韩琳, 等. 可穿戴设备在癫痫患者诊疗管理中的应用进展. 实用心脑肺血管病杂志, 2024, 32(5): 137-140.
21. 张珊珊, 常红. 可穿戴技术在癫痫患者监测及自我管理中的应用进展. 中华护理杂志, 2023, 58(19): 2422-2427.
22. Kroner B L, Wright C, Friedman D, et al. Characteristics of epilepsy patients and caregivers who either have or have not heard of SUDEP. Epilepsia, 2014, 55(10): 1486-1494.
23. Bruno E, Simblett S, Lang A, et al. Wearable technology in epilepsy: The views of patients, caregivers, and healthcare professionals. Epilepsy & Behavior, 2018, 85: 141-149.
24. Herrera-Fortin T, Bou AE, Gagnon M P, et al. Seizure detection devices: A survey of needs and preferences of patients and caregivers. Epilepsy & Behavior, 2021, 114(Pt A): 107-110.
25. Wen D, Zhang X, Lei J. Consumers’ perceived attitudes to wearable devices in health monitoring in China: a survey study. Computer Methods and Programs in Biomedicine, 2017, 140: 131-137.
26. Sequeira L, Perrotta S, LaGrassa J, et al. Mobile and wearable technology for monitoring depressive symptoms in children and adolescents: a scoping review. Journal of Affective Disorders, 2020, 265: 314-324.
27. Shah P, Kendall F, Khozin S, et al. Artificial intelligence and machine learning in clinical development: a translational perspective. NPJ Digital Medicine, 2019, 2: 69.
28. Sivathamboo S, Nhu D, Piccenna L, et al. Preferences and user experiences of wearable devices in epilepsy: A systematic review and mixed-methods synthesis. Neurology, 2022, 99(13): e1380-e1392.
29. Bruno E, Viana PF, Sperling MR, et al. Seizure detection at home: do devices on the market match the needs of people living with epilepsy and their caregivers?. Epilepsia, 2020, 61(S1): S11-S24.
30. Van de Vel A, Smets K, Wouters K, et al. Automated non-EEG based seizure detection: do users have a say? Epilepsy & Behavior, 2016, 62: 121-128.
31. 张瑞, 李亚红, 李荣, 等. 癫痫患儿疾病家庭负担的现状及影响因素研究. 神经疾病与精神卫生, 2023, 23(7): 483-489.
32. 胡诗晨. 新技术下的医疗保险走势探究. 环球市场, 2021(19): 182-184.

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