[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"smart-watch\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:smart-watch":32},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,57],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":21,"studyType":22,"phases":4,"briefSummary":23,"conditions":24,"keywords":35,"overallStatus":44,"whyStopped":4,"lastUpdateSubmitDate":45,"lastUpdatePostDateStruct":46,"startDateStruct":49,"completionDateStruct":51,"leadSponsor":53,"locationsCount":56},"100617738","smartwatch-accuracy-for-measuring-vitals-and-anxiety-before-disc-surgery-100617738",false,"NCT07322523","Smartwatch Accuracy for Measuring Vitals and Anxiety Before Disc Surgery","Validation of Smartwatch Technology for Preoperative Monitoring of Sleep Quality, Anxiety, and Vital Signs in Patients Undergoing Disc Herniation Surgery","Inclusion Criteria:\n\n* 22 years and older\n* Currently receiving preoperative care\u002Fassessment for disc herniation surgery.\n* No history of any cardiovascular disease other than controlled hypertension.\n* Willingness to wear the smartwatch for a minimum of 8 consecutive hours during the night before surgery.\n* Ability to follow all instructions related to the smartwatch operation and data collection independently.\n* No known allergy to nickel.\n\nExclusion Criteria:\n\n* Patients who are currently receiving prescribed medication specifically for sleep in the clinical setting.\n* Refusal or unwillingness to participate in the study.\n* The participant fails to wear the smartwatch correctly or appropriately as per study instructions, leading to incomplete or unreliable data collection.","ALL","22 Years",{"count":19,"type":20},60,"ESTIMATED","3 Months","OBSERVATIONAL","This study aims to verify the accuracy of blood pressure, heart rate, blood oxygen saturation, anxiety level, and sleep cycle data measurements obtained from Samsung smartwatches compared to the currently accepted method used in patients with disc herniation undergoing the preoperative period.",[25,26,27,28,29,30,31,32,33,34],"Disc Herniations","Disc Herniation, Lumbar","Cervical Disc Herniation","Preoperative Anxiety Score","Sleep Quality","Preoperative Care","Vital Signs Monitoring","Smart Watch","Wearable Devices","Surgical Nursing",[36,37,38,39,40,41,42,43],"Disc herniations","wearable devices","smart watch","vital signs monitoring","sleep quality","anxiety","surgical nursing,","preoperative","RECRUITING","2025-12-22",{"date":47,"type":48},"2026-01-07","ACTUAL",{"date":50,"type":48},"2025-11-01",{"date":52,"type":20},"2026-03-30",{"name":54,"class":55},"Halil Kalaycı","OTHER",1,{"id":58,"slug":59,"hasResults":11,"nctId":60,"briefTitle":61,"officialTitle":62,"acronym":4,"eligibilityCriteria":63,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":64,"enrollmentInfo":65,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":67,"conditions":68,"keywords":4,"overallStatus":44,"whyStopped":4,"lastUpdateSubmitDate":71,"lastUpdatePostDateStruct":72,"startDateStruct":74,"completionDateStruct":76,"leadSponsor":78,"locationsCount":56},"100576968","smartwatch-based-ai-model-for-osa-prediction-swosa-100576968","NCT06792188","Smartwatch-Based AI Model for OSA Prediction (SWOSA)","Smartwatch-Based Artificial Intelligence Model for Obstructive Sleep Apnea Prediction","Inclusion Criteria:\n\n* Men and women aged 22 to 85 years who visited Seoul National University Hospital with suspected sleep apnea due to symptoms such as snoring, apnea, or excessive daytime sleepiness.\n\nExclusion Criteria:\n\n* Patients previously diagnosed with sleep apnea who are currently undergoing treatment (e.g., positive airway pressure \\[PAP\\] therapy, mechanical ventilation, oral appliances, or surgery).\n* Patients with neuromuscular diseases or a history of chronic opioid medication use.\n* Patients with severe insomnia that is not controlled by medication.\n* Patients receiving supplemental oxygen therapy due to underlying conditions such as heart failure, chronic obstructive pulmonary disease, interstitial lung disease, hypoventilation syndrome, or stroke, or whose baseline oxygen saturation is less than 90%.\n* Patients with implanted cardiac pacemakers, defibrillators, or other electronic devices.\n* Patients inexperienced in using smartphones, apps, or smartwatches.\n* Pregnant women.\n* Patients unable or unwilling to provide written informed consent.","85 Years",{"count":66,"type":20},147,"This study aims to develop an artificial intelligence (AI) model for more accurately diagnosing obstructive sleep apnea (OSA) by collecting blood oxygen saturation and other health information during sleep using a smartwatch.\n\nOSA is common but often underdiagnosed, and the gold-standard diagnostic test, polysomnography, is costly and time-consuming. Smartwatches can provide a variety of health data, such as sleep patterns, blood oxygen saturation, and heart rate, which can help detect key symptoms and signs of OSA.\n\nBy developing an AI model that uses smartwatch data to screen for OSA, this study seeks to offer a cost-effective and accessible diagnostic method, ultimately contributing to the early detection and improved treatment rates of OSA.",[69,70,32],"Obstructive Sleep Apnea of Adult","Screening","2025-05-12",{"date":73,"type":48},"2025-05-15",{"date":75,"type":48},"2025-02-03",{"date":77,"type":20},"2026-12-31",{"name":79,"class":55},"Seoul National University Hospital"]