Chinese Journal of Nursing ›› 2022, Vol. 57 ›› Issue (9): 1141-1146.DOI: 10.3761/j.issn.0254-1769.2022.09.017
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ZHAO Jie(), CHANG Hong(), LI Peipei, ZHANG Xinyue
Received:
2021-08-26
Online:
2022-05-10
Published:
2022-05-12
Contact:
CHANG Hong
通讯作者:
常红
作者简介:
赵洁:女,硕士,主管护师,E-mail: smilezoe51@163.com
基金资助:
ZHAO Jie, CHANG Hong, LI Peipei, ZHANG Xinyue. A review of wearable devices in the monitoring of stroke risk factors and risk prediction[J]. Chinese Journal of Nursing, 2022, 57(9): 1141-1146.
赵洁, 常红, 李佩佩, 张欣悦. 可穿戴设备在脑卒中危险因素监测及风险预测中的研究进展[J]. 中华护理杂志, 2022, 57(9): 1141-1146.
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[1] | 国家卫生健康委脑卒中防治工程委员会. 中国脑卒中防治指导规范[M]. 北京: 人民卫生出版社, 2018. |
National Health Commission Stroke Prevention and Treatment Engineering Committee. China stroke prevention and treatment report[M]. Beijing: People’s Medical Publishing House, 2018. | |
[2] | 中华医学会神经病学分会,中华医学会神经病学分会脑血管病学组. 中国脑血管病一级预防指南2015[J]. 中华神经科杂志, 2015, 48(8):629-643. |
Chinese Academy of Neurology,Cerebrovascular Group,Chinese Academy of Neurology. Guidelines for primary prevention of cerebrovascular diseases in China 2015[J]. Chin J Neurol, 2015, 48(8):629-643. | |
[3] |
Wilson D. An overview of the application of wearable technology to nursing practice[J]. Nurs Forum, 2017, 52(2):124-132.
DOI PMID |
[4] |
Sirsat MS, Fermé E, Camara J. Machine learning for brain stroke:a review[J]. J Stroke Cerebrovasc Dis, 2020, 29(10):105162.
DOI URL |
[5] |
Faraco G, Iadecola C. Hypertension:a harbinger of stroke and dementia[J]. Hypertension, 2013, 62(5):810-817.
DOI URL |
[6] | Kario K, Shimbo D, Tomitani N, et al. The first study comparing a wearable watch-type blood pressure monitor with a conventional ambulatory blood pressure monitor on in-office and out-of-office settings[J]. J Clin Hypertens(Greenwich), 2020, 22(2):135-141. |
[7] | Nachman D, Gilan A, Goldstein N, et al. 24-hour ambulatory blood pressure measurement using a novel non-invasive,cuff-less,wireless device[J]. Am J Hypertens, 2021:hpab095. |
[8] |
Wang CH, Li XS, Hu HJ, et al. Monitoring of the central blood pressure waveform via a conformal ultrasonic device[J]. Nat Biomed Eng, 2018, 2(9):687-695.
DOI URL |
[9] |
Hermida RC, Crespo JJ, Otero A, et al. Asleep blood pressure:significant prognostic marker of vascular risk and therapeutic target for prevention[J]. Eur Heart J, 2018, 39(47):4159-4171.
DOI PMID |
[10] |
Liu FD, Shen XL, Zhao R, et al. Pulse pressure as an independent predictor of stroke:a systematic review and a meta-analysis[J]. Clin Res Cardiol, 2016, 105(8):677-686.
DOI URL |
[11] |
Safar ME, Asmar R, Benetos A, et al. Interaction between hypertension and arterial stiffness[J]. Hypertension, 2018, 72(4):796-805.
DOI URL |
[12] | 王恬, 陆海英, 王成浩, 等. 老年糖尿病患者持续血糖监测的研究进展[J]. 中华护理杂志, 2021, 56(5):705-709. |
Wang T, Lu HY, Wang CH, et al. Research progress of continuous glucose monitoring in elderly patients with diabetes[J]. Chin J Nurs, 2021, 56(5):705-709. | |
[13] | Beyond A1C Writing Group. Need for regulatory change to incorporate beyond A1C glycemic metrics[J]. Diabetes Care, 2018,41(6):e92-e94. |
[14] |
Renard E, Farret A, Kropff J, et al. Day-and-night closed-loop glucose control in patients with type 1 diabetes under free-living conditions:results of a single-arm 1-month experience compared with a previously reported feasibility study of even-ing and night at home[J]. Diabetes Care, 2016, 39(7):1151-1160.
DOI PMID |
[15] |
Xiao JY, Liu Y, Su L, et al. Microfluidic chip-based wearable colorimetric sensor for simple and facile detection of sweat glucose[J]. Anal Chem, 2019, 91(23):14803-14807.
DOI URL |
[16] |
Zhao JQ, Lin YJ, Wu JB, et al. A fully integrated and self-powered smartwatch for continuous sweat glucose monitoring[J]. ACS Sens, 2019, 4(7):1925-1933.
DOI URL |
[17] |
Toi PT, Trung TQ, Dang TML, et al. Highly electrocatalytic,durable,and stretchable nanohybrid fiber for on-body sweat glucose detection[J]. ACS Appl Mater Interfaces, 2019, 11(11):10707-10717.
DOI URL |
[18] |
Lee H, Choi TK, Lee YB, et al. A graphene-based electrochemical device with thermoresponsive microneedles for diabetes monitoring and therapy[J]. Nat Nanotechnol, 2016, 11(6):566-572.
DOI URL |
[19] | Potts RO, Tamada JA, Tierney MJ. Glucose monitoring by reverse iontophoresis[J]. Diabetes Metab Res Rev, 2002, 18(Suppl 1):S49-S53. |
[20] |
Gao W, Brooks GA, Klonoff DC. Wearable physiological systems and technologies for metabolic monitoring[J]. J Appl Physiol(1985),2018, 124(3):548-556.
DOI URL |
[21] |
Naing C, Mak JW. Salivary glucose in monitoring glycaemia in patients with type 1 diabetes mellitus:a systematic review[J]. J Diabetes Metab Disord, 2017, 16:2.
DOI URL |
[22] |
Arakawa T, Tomoto K, Nitta H, et al. A wearable cellulose acetate-coated mouthguard biosensor for in vivo salivary glucose measurement[J]. Anal Chem, 2020, 92(18):12201-12207.
DOI URL |
[23] |
Song I, Yoon J, Kang J, et al. Design and implementation of a new wireless carotid neckband Doppler system with wearable ultrasound sensors:preliminary results[J]. Appl Sci, 2019, 9(11):2202.
DOI URL |
[24] |
Reiffel JA, Verma A, Kowey PR, et al. Incidence of previously undiagnosed atrial fibrillation using insertable cardiac monitors in a high-risk population:the REVEAL AF study[J]. JAMA Cardiol, 2017, 2(10):1120-1127.
DOI PMID |
[25] |
Pereira T, Tran N, Gadhoumi K, et al. Photoplethysmography based atrial fibrillation detection:a review[J]. NPJ Digit Med, 2020, 3:3.
DOI PMID |
[26] |
van Gelder IC, Healey JS, Crijns HJGM, et al. Duration of device-detected subclinical atrial fibrillation and occurrence of stroke in ASSERT[J]. Eur Heart J, 2017, 38(17):1339-1344.
DOI URL |
[27] |
Kuehn BM. Telemedicine helps cardiologists extend their reach[J]. Circulation, 2016, 134(16):1189-1191.
DOI URL |
[28] | 刘裕文, 李庆印. 数字技术在心脏康复患者中的应用进展[J]. 中华护理杂志, 2020, 55(11):1728-1732. |
Liu YW, Li QY. Application progress of digital technology in patients with cardiac rehabilitation[J]. Chin J Nurs, 2020, 55(11):1728-1732. | |
[29] |
Kim J, Campbell AS, et al. Wearable biosensors for healthcare monitoring[J]. Nat Biotechnol, 2019, 37(4):389-406.
DOI URL |
[30] |
Bender MS, Cooper BA, Flowers E, et al. Filipinos Fit and Trim-A feasible and efficacious DPP-based intervention trial[J]. Contemp Clin Trials Commun, 2018, 12:76-84.
DOI URL |
[31] |
Senyurek VY, Imtiaz MH, Belsare P, et al. Smoking detection based on regularity analysis of hand to mouth gestures[J]. Biomed Signal Process Control, 2019, 51:106-112.
DOI URL |
[32] |
Lopez-Meyer P, Tiffany S, Patil Y, et al. Monitoring of cigarette smoking using wearable sensors and support vector machines[J]. IEEE Trans Biomed Eng, 2013, 60(7):1867-1872.
DOI PMID |
[33] | Buckingham SA, Williams AJ, Morrissey K, et al. Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace:a systematic review[J]. Digit Health, 2019, 5:2055207619839883. |
[34] |
Raheja H, Namana V, Chopra K, et al. Electrocardiogram changes with acute alcohol intoxication:a systematic review[J]. Open Cardiovasc Med J, 2018, 12:1-6.
DOI URL |
[35] |
Sateia MJ. International classification of sleep disorders-third edition:highlights and modifications[J]. Chest, 2014, 146(5):1387-1394.
DOI URL |
[36] | Manoni A, Loreti F, Radicioni V, et al. A new wearable system for home sleep apnea testing,screening,and classification[J]. Sensors(Basel), 2020, 20(24):7014. |
[37] | 王文静, 洪静芳, 张甜, 等. 慢性病患者对移动健康管理接受现状的研究进展[J]. 中华护理杂志, 2017, 52(10):1265-1268. |
Wang WJ, Hong JF, Zhang T, et al. Research progress of status and influencing factors of acceptance behavior towards mobile applications for health management in patients with chronic diseases[J]. Chin J Nurs, 2017, 52(10):1265-1268. | |
[38] | 曾哲淳, 吴兆苏, 陈伟伟, 等. 基于移动互联网技术的中国人缺血性心血管病发病风险模型研究与评估工具的开发[J]. 心肺血管病杂志, 2016, 35(1):1-5. |
Zeng ZC, Wu ZS, Chen WW, et al. The development of ische-mic cardiovascular disease risk assessment tool for Chinese population by applying mobile Internet technology[J]. J Cardiovasc Pulm Dis, 2016, 35(1):1-5. | |
[39] |
Xing XL, Yang XL, Liu FC, et al. Predicting 10-year and lifetime stroke risk in Chinese population[J]. Stroke, 2019, 50(9):2371-2378.
DOI URL |
[40] |
Yang XL, Li JX, Hu DS, et al. Predicting the 10-year risks of atherosclerotic cardiovascular disease in Chinese population:the China-PAR project(prediction for ASCVD risk in China)[J]. Circulation, 2016, 134(19):1430-1440.
DOI URL |
[41] |
Goldstein BA, Navar AM, Pencina MJ, et al. Opportunities and challenges in developing risk prediction models with electronic health records data:a systematic review[J]. J Am Med Inform Assoc, 2017, 24(1):198-208.
DOI PMID |
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