[1] Walter JM,Corbridge TC,Singer BD.Invasive mechanical ventilation[J]. South Med J,2018,111(12):746-753. [2] Saillard C,Mallet D,Chow-Chine L,et al.Non-invasive ventilation indication for critically ill cancer patients admitted to the intensive care unit for acute respiratory failure(ARF)with associated cardiac dysfunction:results from an observational study[J]. PLoS One,2020,15(6):e0234495. [3] Bellani G,Laffey JG,Pham T,et al.Epidemiology,patterns of care,and mortality for patients with acute respiratory distress syndrome in intensive care units in 50 countries[J]. JAMA,2016,315(8):788-800. [4] Happ MB,Seaman JB,Nilsen ML,et al.The number of mechanically ventilated ICU patients meeting communication criteria[J]. Heart Lung,2015,44(1):45-49. [5] Shin JW,Happ MB,Tate JA.VidaTalkTM patient communication application “opened up” communication between nonvocal ICU patients and their family[J]. Intensive Crit Care Nurs,2021,66:103075. [6] Rose L,Sutt AL,Amaral AC,et al. Interventions to enable communication for adult patients requiring an artificial airway with or without mechanical ventilator support[J]. Cochrane Database Syst Rev,2021,10(10):CD013379. [7] Pina S,Canellas M,Prazeres R,et al.Augmentative and alternative communication in ventilated patients:a scoping review[J]. Rev Bras Enferm,2020,73(5):e20190562. [8] Duffy EI,Garry J,Talbot L,et al.A pilot study assessing the spiritual,emotional,physical/environmental,and physiological needs of mechanically ventilated surgical intensive care unit patients via eye tracking devices,head nodding,and communication boards[J]. Trauma Surg Acute Care Open,2018,3(1):e000180. [9] 邓小玲,张立力. 体态语言机的设制及在机械通气患者护理中的应用[J]. 护理学杂志,2010,25(3):1-4. Deng XL,Zhang LL.Design and application of a body-language machine in mechanically ventilated Patients[J]. Nurs Sci,2010,25(3):1-4. [10] 陶夏,刘晓芯. 体态语言识别系统在心外科ICU机械通气病人中的应用[J]. 护理研究,2016,30(30):3798-3799. Tao X,Liu XX.Application of body language recognition system for cardiac surgical department of patients with mechanical ventilation in ICU[J]. Chin Nurs Res,2016,30(30):3798-3799. [11] Kozyra K,Trzyniec K,Popardowski E,et al.Application for recognizing sign language gestures based on an artificial neural network[J]. Sensors(Basel),2022,22(24):9864. [12] Santiago C,Roza D,Porretta K,et al.The use of tablet and communication app for patients with endotracheal or tracheostomy tubes in the medical surgical intensive care unit:A pilot,feasibility study[J]. Can J Crit Care Nurs,2019,30(1):17-23. [13] 居馨星,蒋莉,陆燕娜,等. ICU机械通气患者辅助沟通系统的构建与应用[J]. 护理学杂志,2022,37(18):8-11. Ju XX,Jiang L,Lu YN,et al.Construction and application of the augmentative and alternative communication for mechanically ventilated patients in the ICU[J]. J Nurs Sci,2022,37(18):8-11. [14] 胡玉兰,古满平. 护患沟通应用程序在有创通气患者中的应用[J]. 重庆医科大学学报,2017,42(9):1214-1218. Hu YL,Gu MP. Application of health care communication APP in patients who received invasive mechanical ventilation[J]. J Chongqing Med Univ,2017,42(9):1214-1218. [15] Carter BT,Luke SG.Best practices in eye tracking research[J]. Int J Psychophysiol,2020,155:49-62. [16] Ull C,Hamsen U,Weckwerth C,et al.Approach to the basic needs in patients on invasive ventilation using eye-tracking devices for non-verbal communication[J]. Artif Organs,2022,46(3):439-450. [17] Ull C,Hamsen U,Weckwerth C,et al.The use of predefined scales and scores with eye-tracking devices for symptom identification in critically ill nonverbal patients[J]. J Trauma Acute Care Surg,2022,92(4):640-647. [18] Bodet-Contentin L,Messet-Charrière H,Gissot V,et al.Assessing oral comprehension with an eye tracking based innovative device in critically ill patients and healthy volunteers:a cohort study[J]. Crit Care,2022,26(1):288. [19] 居馨星,杨洁,刘晓芯. 心脏术后患者在ICU机械通气期间沟通障碍的影响因素分析[J]. 中华现代护理杂志,2021,27(29):3933-3938. Ju XX,Yang J,Liu XX.Influencing factors of communication disorder in patients undergoing cardiac surgery during mechanical ventilation in ICU[J]. Chin J Mod Nurs,2021,27(29):3933-3938. [20] Ten Hoorn S,Elbers PW,Girbes AR,et al.Communicating with conscious and mechanically ventilated critically ill patients:a systematic review[J]. Crit Care,2016,20(1):333. [21] Ull C,Weckwerth C,Schildhauer TA,et al.First experiences of communication with mechanically ventilated patients in the intensive care unit using eye-tracking technology[J]. Disabil Rehabil Assist Technol,2023,18(1):44-49. [22] Koszalinski RS,Tappen RM,Melhuish T,et al.Evaluation of a novel communication application from nurses' perspectives[J]. Comput Inform Nurs,2017,35(6):300-306. [23] 王映印,张萱,向明芳,等. 护士与ICU机械通气患者沟通行为观察研究[J]. 护理学杂志,2022,37(15):1-4. Wang YY,Zhang X,Xiang MF,et al.Nurses' communication behavior with mechanically ventilated patients in the ICU:an observational study[J]. J Nurs Sci,2022,37(15):1-4. [24] Prime D,Arkless P,Fine J,et al.Patient experiences during awake mechanical ventilation[J]. J Community Hosp Intern Med Perspect,2016,6(1):30426. [25] Garry J,Casey K,Cole TK,et al.A pilot study of eye-tracking devices in intensive care[J]. Surgery,2016,159(3):938-944. [26] Hosseini SR,Valizad-Hasanloei MA,Feizi A.The effect of using communication boards on ease of communication and anxiety in mechanically ventilated conscious patients admitted to intensive care units[J]. Iran J Nurs Midwifery Res,2018,23(5):358-362. [27] Trotta RL,Hermann RM,Polomano RC,et al.Improving nonvocal critical care patients' ease of communication using a modified SPEACS-2 program[J]. J Healthc Qual,2020,42(1):e1-e9. [28] 肖玲,张川林,凌舒娅,等. 护士对机械通气患者沟通需求感知的调查[J]. 护理学杂志,2021,36(14):85-87. Xiao L,Zhang CL,Ling SY,et al.Nurses' perceptions of communication needs of patients on mechanical ventilation[J]. J Nurs Sci,2021,36(14):85-87. [29] 张海军,王浩川. 多导联EEG信号分类识别研究[J]. 计算机工程与应用,2008,44(24):228-230. Zhang HJ,Wang HC.Research on classification and recognition of multi-channel EEG signal[J]. Comput Eng Appl,2008,44(24):228-230. [30] Jiang LX,Stocco A,Losey DM,et al.BrainNet:a multi-person brain-to-brain interface for direct collaboration between brains[J]. Sci Rep,2019,9(1):6115. [31] Dehzangi O,Farooq M.Portable brain-computer interface for the intensive care unit patient communication using subject-dependent SSVEP identification[J]. Biomed Res Int,2018,2018:1-14. |