[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100658409":3},{"organization":4,"outcomesModule":7,"designInfo":121,"detailedDescription":120,"studyPopulation":120,"armGroups":127,"interventions":134,"overallOfficials":140,"centralContacts":145,"locations":154,"responsibleParty":199,"collaborators":120,"id":201,"slug":202,"hasResults":203,"nctId":204,"briefTitle":205,"officialTitle":205,"acronym":206,"eligibilityCriteria":207,"healthyVolunteers":203,"sex":208,"minAge":209,"maxAge":210,"enrollmentInfo":211,"targetDuration":120,"studyType":214,"phases":215,"briefSummary":216,"conditions":217,"keywords":220,"overallStatus":157,"whyStopped":120,"lastUpdateSubmitDate":235,"lastUpdatePostDateStruct":236,"startDateStruct":239,"completionDateStruct":241,"leadSponsor":243,"locationsCount":244},{"fullName":5,"class":6},"Direction Centrale du Service de Santé des Armées","OTHER",{"primaryOutcomes":8,"secondaryOutcomes":13,"otherOutcomes":120},[9],{"measure":10,"description":11,"timeFrame":12},"Sensitivity of the CAUD-PIN algorithm in predicting Trauma-related nightmare awakenings","Sensitivity will be calculated as the number of Trauma-related nightmare awakenings correctly identified by the CAUD-PIN algorithm divided by the total number of confirmed trauma-related nightmare awakenings, multiplied by 100.\n\nUnit of Measure: Percentage","During the 15 consecutive nights of home sleep recording",[14,17,20,23,27,30,34,37,40,43,46,50,53,56,59,62,65,68,71,74,78,81,84,87,90,93,96,99,102,105,108,111,114,117],{"measure":15,"description":16,"timeFrame":12},"Specificity of the CAUD-PIN algorithm for predicting Trauma-related nightmare awakenings","Specificity will be calculated as the number of events correctly classified as not being trauma-related nightmare awakenings divided by the total number of confirmed non-nightmare events, multiplied by 100.\n\nUnit of Measure: Percentage",{"measure":18,"description":19,"timeFrame":12},"Positive predictive value of the CAUD-PIN algorithm","Positive predictive value will be calculated as the number of correctly predicted trauma-related nightmare awakenings divided by the total number of trauma-related nightmare awakenings predicted by the CAUD-PIN algorithm, multiplied by 100.\n\nUnit of Measure: Percentage",{"measure":21,"description":22,"timeFrame":12},"Negative predictive value of the CAUD-PIN algorithm","Negative predictive value will be calculated as the number of events correctly predicted as not being trauma-related nightmare awakenings divided by the total number of events predicted as not being trauma-related nightmare awakenings, multiplied by 100.\n\nUnit of Measure: Percentage",{"measure":24,"description":25,"timeFrame":26},"Prediction lead time before trauma-related nightmare awakening","Mean time (in seconds) between the physiological predictive pattern detected by the CAUD-PIN algorithm and the participant's button press indicating a trauma-related nightmare awakening.\n\nUnit of Measure: Seconds","Through 15 nights of recording",{"measure":28,"description":29,"timeFrame":12},"Intra- and inter-individual variability in heart rate preceding trauma-related nightmare awakenings","Intra- and inter-individual variability in heart rate (beats per minute, bpm) preceding trauma-related nightmare awakenings.\n\nVariability will be quantified using:\n\n* Within-subject standard deviation (SD)\n* Between-subject variance estimated using mixed-effects models",{"measure":31,"description":32,"timeFrame":33},"Intra- and inter-individual variability in electrodermal activity preceding trauma-related nightmare awakenings","Intra- and inter-individual variability in electrodermal activity (microsiemens, µS) preceding trauma-related nightmare awakenings.\n\nVariability will be quantified using:\n\n* Within-subject standard deviation (SD)\n* Between-subject variance estimated using mixed-effects models","After completion of all participant data collection, following the 15-night recording period for each participant (approximately 18 months after study start)",{"measure":35,"description":36,"timeFrame":33},"Intra- and inter-individual variability in skin temperature preceding trauma-related nightmare awakenings","Intra- and inter-individual variability in skin temperature (°C) preceding trauma-related nightmare awakenings.\n\nVariability will be quantified using:\n\n* Within-subject standard deviation (SD)\n* Between-subject variance estimated using mixed-effects models",{"measure":38,"description":39,"timeFrame":33},"Intra- and inter-individual variability in motor activity preceding trauma-related nightmare awakenings","Intra- and inter-individual variability in motor activity (activity counts) preceding trauma-related nightmare awakenings.\n\nVariability will be quantified using:\n\n* Within-subject standard deviation (SD)\n* Between-subject variance estimated using mixed-effects models",{"measure":41,"description":42,"timeFrame":33},"Area Under the Curve (AUC) of the CAUD-PIN algorithm on combined dataset","Area Under the Receiver Operating Characteristic Curve (AUC, unitless) of the CAUD-PIN algorithm when trained and evaluated on the CAUD-PIN dataset alone compared to the combined dataset (SOMMEPT + CAUD-PIN).",{"measure":44,"description":45,"timeFrame":33},"F1-score of the CAUD-PIN algorithm on combined dataset","F1-score (unitless) of the CAUD-PIN algorithm when trained and evaluated on the CAUD-PIN dataset alone compared to the combined dataset (SOMMEPT + CAUD-PIN).",{"measure":47,"description":48,"timeFrame":49},"Correlation between PCL-5 total score and percentage of trauma-related nightmare nights","PTSD severity will be assessed at T1 using the PTSD Checklist for DSM-5 (PCL-5) total score, ranging from 0 to 80 points. Trauma-related nightmare frequency will be calculated as the percentage of valid recording nights containing at least one participant-confirmed trauma-related nightmare awakening. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).","At Visit 1 (baseline) and during the 15 consecutive nights of home sleep recording",{"measure":51,"description":52,"timeFrame":49},"Correlation between Beck Depression Inventory total score and percentage of trauma-related nightmare nights","Depression severity will be assessed at T1 using the Beck Depression Inventory (BDI) total score, ranging from 0 to 63 points. Trauma-related nightmare frequency will be calculated as the percentage of valid recording nights containing at least one participant-confirmed trauma-related nightmare awakening. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":54,"description":55,"timeFrame":49},"Correlation between WHOQOL-BREF score and percentage of trauma-related nightmare nights","Quality of life will be assessed at T1 using the World Health Organization Quality of Life-BREF (WHOQOL-BREF) \\[specify total or domain score and range\\]. Trauma-related nightmare frequency will be calculated as the percentage of valid recording nights containing at least one participant-confirmed trauma-related nightmare awakening. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":57,"description":58,"timeFrame":49},"Correlation between Nightmare Severity Index score and percentage of trauma-related nightmare nights","Nightmare severity will be assessed at T1 using the Nightmare Severity Index (NSI) total score. Trauma-related nightmare frequency will be calculated as the percentage of valid recording nights containing at least one participant-confirmed trauma-related nightmare awakening. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":60,"description":61,"timeFrame":12},"Correlation between mean number of trauma-related nightmare awakenings per night and percentage of trauma-related nightmare nights","The mean number of trauma-related nightmare awakenings per night will be calculated as the total number of participant-confirmed trauma-related nightmare awakenings divided by the number of valid recording nights. The percentage of trauma-related nightmare nights will be calculated as the percentage of valid recording nights containing at least one confirmed awakening. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":63,"description":64,"timeFrame":12},"Correlation between mean heart rate and percentage of trauma-related nightmare nights","Heart rate will be measured in beats per minute using Empatica EmbracePLUS. For each participant, mean heart rate will be calculated across sleep period preceeding trauma-ralated awakeking across 15 nights. Trauma-related nightmare frequency will be calculated as the percentage of valid recording nights containing at least one participant-confirmed trauma-related nightmare awakening. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":66,"description":67,"timeFrame":12},"Correlation between mean electrodermal activity and percentage of trauma-related nightmare nights","Electrodermal activity will be measured in microsiemens (µS) using Empatica EmbracePLUS. For each participant, mean electrodermal activity will be calculated across across sleep period preceeding trauma-ralated awakeking across across sleep period preceeding trauma-ralated awakeking across 15 nights. Trauma-related nightmare frequency will be calculated as the percentage of valid recording nights containing at least one participant-confirmed trauma-related nightmare awakening. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":69,"description":70,"timeFrame":12},"Correlation between mean skin temperature and percentage of trauma-related nightmare nights","Skin temperature will be measured in degrees Celsius using Empatica EmbracePLUS. For each participant, mean skin temperature will be calculated across across sleep period preceeding trauma-ralated awakeking across 15 nights. Trauma-related nightmare frequency will be calculated as the percentage of valid recording nights containing at least one participant-confirmed trauma-related nightmare awakening. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":72,"description":73,"timeFrame":12},"Correlation between mean motor activity and percentage of trauma-related nightmare nights","Motor activity will be measured in activity counts using Empatica EmbracePLUS. For each participant, mean motor activity will be calculated across across sleep period preceeding trauma-ralated awakeking across 15 nights. Trauma-related nightmare frequency will be calculated as the percentage of valid recording nights containing at least one participant-confirmed trauma-related nightmare awakening. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":75,"description":76,"timeFrame":77},"Correlation between trauma-related nightmare awakening frequency and change in PCL-5 total score between T1 and T2","Trauma-related nightmare frequency will be calculated as the total number of participant-confirmed trauma-related nightmare awakenings divided by the number of valid recording nights, expressed as awakenings per night. PTSD severity will be assessed at T1 and T2 using the PCL-5 total score, ranging from 0 to 80 points. Change will be calculated as the difference between the PCL-5 total scores obtained at T1 and T2. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).","From Visit 1 (baseline) to Visit 2 (end of study, Day 30 ± 5 days after inclusion)",{"measure":79,"description":80,"timeFrame":77},"Correlation between trauma-related nightmare awakening frequency and change in Beck Depression Inventory total score between T1 and T2","Trauma-related nightmare frequency will be calculated as the total number of participant-confirmed trauma-related nightmare awakenings divided by the number of valid recording nights, expressed as awakenings per night. Depression severity will be assessed at T1 and T2 using the Beck Depression Inventory total score, ranging from 0 to 63 points. Change will be calculated as the difference between the BDI total scores obtained at T1 and T2. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":82,"description":83,"timeFrame":77},"Correlation between trauma-related nightmare awakening frequency and change in WHOQOL-BREF score between T1 and T2","Trauma-related nightmare frequency will be calculated as the total number of participant-confirmed trauma-related nightmare awakenings divided by the number of valid recording nights, expressed as awakenings per night. Quality of life will be assessed at T1 and T2 using the WHOQOL-BREF \\[specify total or domain score and range\\]. Change will be calculated as the difference between the WHOQOL-BREF scores obtained at T1 and T2. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":85,"description":86,"timeFrame":49},"Correlation between PCL-5 total score at T1 and PSQI total score","PTSD severity will be assessed at T1 using the PCL-5 total score, ranging from 0 to 80 points. Subjective sleep quality will be assessed using the Pittsburgh Sleep Quality Index (PSQI) total score, ranging from 0 to 21 points, with higher scores indicating poorer sleep quality. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":88,"description":89,"timeFrame":49},"Correlation between PCL-5 total score at T1 and mean total sleep time","PTSD severity will be assessed at T1 using the PCL-5 total score, ranging from 0 to 80 points. Total sleep time will be measured in minutes usingHypnodyne Zmax Lite device and PSQI questionnary and averaged across all valid recording nights. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":91,"description":92,"timeFrame":49},"Correlation between PCL-5 total score at T1 and mean sleep efficiency","PTSD severity will be assessed at T1 using the PCL-5 total score, ranging from 0 to 80 points. Sleep efficiency will be measured usingHypnodyne Zmax Lite device and PSQI questionnary, calculated as total sleep time divided by time in bed and multiplied by 100, and averaged across valid recording nights. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":94,"description":95,"timeFrame":49},"Correlation between PCL-5 total score at T1 and mean wake after sleep onset","PTSD severity will be assessed at T1 using the PCL-5 total score, ranging from 0 to 80 points. Wake after sleep onset will be measured in minutes using Hypnodyne Zmax Lite device and PSQI questionnary and averaged across all valid recording nights. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":97,"description":98,"timeFrame":49},"Correlation between Beck Depression Inventory total score at T1 and PSQI total score","Depression severity will be assessed at T1 using the Beck Depression Inventory total score, ranging from 0 to 63 points. Subjective sleep quality will be assessed using the PSQI total score, ranging from 0 to 21 points, with higher scores indicating poorer sleep quality. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":100,"description":101,"timeFrame":49},"Correlation between Beck Depression Inventory total score at T1 and mean total sleep time","Depression severity will be assessed at T1 using the Beck Depression Inventory total score, ranging from 0 to 63 points. Total sleep time will be measured in minutes using Hypnodyne Zmax Lite device and PSQI questionnary and averaged across all valid recording nights. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":103,"description":104,"timeFrame":49},"Correlation between Beck Depression Inventory total score at T1 and mean sleep efficiency","Depression severity will be assessed at T1 using the Beck Depression Inventory total score, ranging from 0 to 63 points. Sleep efficiency will be measured using Hypnodyne Zmax Lite device and PSQI questionnary, calculated as total sleep time divided by time in bed and multiplied by 100, and averaged across valid recording nights. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":106,"description":107,"timeFrame":49},"Correlation between Beck Depression Inventory total score at T1 and mean wake after sleep onset","Depression severity will be assessed at T1 using the Beck Depression Inventory total score, ranging from 0 to 63 points. Wake after sleep onset will be measured in minutes using using Hypnodyne Zmax Lite device and PSQI questionnary and averaged across all valid recording nights. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":109,"description":110,"timeFrame":49},"Correlation between Nightmare Severity Index score at T1 and PSQI total score","Nightmare severity will be assessed at T1 using the Nightmare Severity Index total score.. Subjective sleep quality will be assessed using the PSQI total score, ranging from 0 to 21 points, with higher scores indicating poorer sleep quality. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":112,"description":113,"timeFrame":49},"Correlation between Nightmare Severity Index score at T1 and mean total sleep time","Nightmare severity will be assessed at T1 using the Nightmare Severity Index total score.. Total sleep time will be measured in minutes using Hypnodyne Zmax Lite and PSQI questionnary and averaged across all valid recording nights. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":115,"description":116,"timeFrame":49},"Correlation between Nightmare Severity Index score at T1 and mean sleep efficiency","Nightmare severity will be assessed at T1 using the Nightmare Severity Index total score.. Sleep efficiency will be measured using Hypnodyne Zmax Lite and PSQI questionnary, calculated as total sleep time divided by time in bed and multiplied by 100, and averaged across valid recording nights. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",{"measure":118,"description":119,"timeFrame":49},"Correlation between Nightmare Severity Index score at T1 and mean wake after sleep onset","Nightmare severity will be assessed at T1 using the Nightmare Severity Index total score.. Wake after sleep onset will be measured in minutes using Hypnodyne Zmax Lite and PSQI questionnary and averaged across all valid recording nights. A single Pearson or Spearman correlation coefficient will be reported. Unit of Measure: Correlation coefficient (r).",null,{"allocation":122,"interventionModel":123,"interventionModelDescription":120,"primaryPurpose":124,"observationalModel":120,"timePerspective":120,"maskingInfo":125},"NA","SINGLE_GROUP","BASIC_SCIENCE",{"masking":126,"maskingDescription":120,"whoMasked":120},"NONE",[128],{"label":129,"type":130,"description":131,"interventionNames":132},"CAUD-PIN Validation Group","EXPERIMENTAL","French Military personnel and\u002For veterans with PTSD wear two non-invasive wearable devices at home - an EEG headband (Hypnodyne Zmax Lite) and a multisensor bracelet (Empatica EmbracePlus) - for 15 consecutive nights. Participants press a button on the bracelet to report each nightmare-related awakening. Physiological data are analyzed post-hoc by the CAUD-PIN algorithm to validate its ability to predict trauma-related nightmare awakenings. Two clinical assessments are conducted at enrollment and at study completion.",[133],"Diagnostic Test: CAUD-PIN (CAUchemar Detection on INdividualized Parameters) - AI-based predictive algorithm forTrauma-related nightmare awakenings",[135],{"type":136,"name":137,"description":138,"armGroupLabels":139,"otherNames":120},"DIAGNOSTIC_TEST","CAUD-PIN (CAUchemar Detection on INdividualized Parameters) - AI-based predictive algorithm forTrauma-related nightmare awakenings","CAUD-PIN (CAUchemar Detection on INdividualized Parameters) is a non-invasive, AI-based predictive algorithm developed by the VIFASOM research team (UMR 7330, Université Paris Cité \u002F French Military Health Service) from the SOMMEPT clinical project. It analyzes multimodal physiological signals recorded during home sleep to identify patterns preceding Trauma-related nightmare awakenings in military patients with PTSD. Data are collected using two wearable devices: an EEG headband (Hypnodyne Zmax Lite) measuring brain activity and sleep stages, and a wrist-worn multisensor bracelet (Empatica EmbracePlus) measuring heart rate, electrodermal activity, skin temperature, and motor activity. The algorithm is applied exclusively post-hoc to pseudonymized recordings, with no real-time intervention and no impact on participants' standard medical care.",[129],[141],{"name":142,"affiliation":143,"role":144},"Emeric SAGUIN, MD, PhD","Department of Psychiatry, Begin National Military Teaching Hospital, Saint-Mandé, 94160, France","PRINCIPAL_INVESTIGATOR",[146,150],{"name":142,"role":147,"phone":148,"phoneExt":120,"email":149},"CONTACT","+33 01 43 98 54 40","emeric.saguin@intradef.gouv.fr",{"name":151,"role":147,"phone":152,"phoneExt":120,"email":153},"Dorone FEINGOLD, Msc","+33 6 51 11 19 56","dorone.feingold@gmail.com",[155,171,184],{"facility":156,"status":157,"city":158,"state":120,"zip":159,"country":160,"countryCode":161,"cosmosGeoPoint":162,"geoPoint":167,"contacts":168},"Clermont Tonnerre Regional Military Teaching Hospital, psychiatry department","RECRUITING","Brest","29200","France","FR",{"type":163,"coordinates":164},"Point",[165,166],-4.48628,48.39029,{"lat":166,"lon":165},[169],{"name":170,"role":147,"phone":120,"phoneExt":120,"email":120},"Julia SALOMÉ, MD, PHD",{"facility":172,"status":173,"city":174,"state":120,"zip":175,"country":160,"countryCode":161,"cosmosGeoPoint":176,"geoPoint":180,"contacts":181},"Percy National Military Teaching Hospital, Department of Psychiatry","NOT_YET_RECRUITING","Clamart","92190",{"type":163,"coordinates":177},[178,179],2.26692,48.80299,{"lat":179,"lon":178},[182],{"name":183,"role":147,"phone":120,"phoneExt":120,"email":120},"Gilles SIPAHIMALANI, MD, PhD",{"facility":185,"status":157,"city":186,"state":187,"zip":188,"country":160,"countryCode":161,"cosmosGeoPoint":189,"geoPoint":193,"contacts":194},"Bégin National Military Teaching Hospital","Saint-Mandé","Île-de-France Region","94160",{"type":163,"coordinates":190},[191,192],2.41579,48.83864,{"lat":192,"lon":191},[195,196],{"name":142,"role":147,"phone":148,"phoneExt":120,"email":149},{"name":151,"role":147,"phone":197,"phoneExt":120,"email":198},"+33 06 51 11 19 56","dorone.feingol@gmail.com",{"type":200,"investigatorFullName":120,"investigatorTitle":120,"investigatorAffiliation":120,"oldNameTitle":120,"oldOrganization":120},"SPONSOR","100658409","validation-of-an-algorithm-for-predicting-awakenings-associated-with-trauma-related-nightmares-based-on-the-analysis-of-physiological-patterns-in-military-and-former-military-patients-suffering-from-post-traumatic-stress-disorder-100658409",false,"NCT07851480","Validation of an Algorithm for Predicting Awakenings Associated With Trauma-related Nightmares, Based on the Analysis of Physiological Patterns in Military and Former Military Patients Suffering From Post-traumatic Stress Disorder","CAUD-PIN","Inclusion Criteria:\n\n* Age between 18 and 65 years (age limit related to military status)\n* Active military personnel or veterans\n* Receiving psychiatric care in a military hospital (HNIA Bégin, HNIA Percy, or HRIA Brest) for PTSD related to combat trauma (exposure to death or life-threatening situations)\n* PCL-5 score \\> 33\n* Written informed consent obtained\n* Trauma-related nightmares occurring ≥ 4 times per week\n\nExclusion Criteria:\n\n* Pre-existing progressive psychiatric disorder prior to trauma (condition requiring long-term treatment \\> 1 year)\n* Sleep disorder affecting sleep architecture (obstructive sleep apnea syndrome, narcolepsy)\n* Neurological disorder (acute confusional state, severe traumatic brain injury) Inability to provide informed consent\n* Persons under legal protection measures (guardianship, curatorship, or equivalent judicial protection)\n* Persons not affiliated with a social security scheme","ALL","18 Years","65 Years",{"count":212,"type":213},27,"ESTIMATED","INTERVENTIONAL",[122],"The goal of this clinical trial is to validate an artificial intelligence algorithm called CAUD-PIN (CAUchemar Detection on INdividualized Parameters) to predict nightmare-related awakenings in military personnel and veterans suffering from post-traumatic stress disorder (PTSD). The main question it aim to answer is :\n\n* Can the CAUD-PIN algorithm detect physiological patterns preceding trauma-related nightmare awakenings with a sensitivity greater than 80%?\n* What physiological signals best predict the occurrence of a trauma-related nightmare awakening?\n\nParticipants will:\n\nWear two non-invasive devices at home - an EEG headband and a wrist-worn sensor bracelet - for 15 consecutive nights Press a button on the bracelet each time they wake up from a nightmare Complete sleep and daytime diaries every evening and morning Attend two clinical assessments (at enrollment and at the end of the study, one month later) at one of the three participating military hospitals\n\nThe algorithm will be applied to the recorded data after collection and does not intervene in real time or affect participants' standard medical care in any way.",[218,219],"PTSD - Post Traumatic Stress Disorder","Trauma-related Nightmares",[221,222,223,224,225,226,227,228,229,230,231,232,233,234],"Post-Traumatic Stress Disorder (PTSD)","Trauma-related nightmares","Sleep disorders","Artificial Intelligence","Machine Learning","Wearable Devices","Physiological Monitoring","Physiological signal processing","Sleep Recording","Military Personnel","Veterans","Ecological Momentary Assessment (EMA)","Predictive Algorithm","Translational Research","2026-09-28",{"date":237,"type":238},"2026-10-01","ACTUAL",{"date":240,"type":238},"2026-04-30",{"date":242,"type":213},"2027-10",{"name":5,"class":6},3]