The Effect of Artificial Intelligence-Assisted Respiratory Training on Pain, Fatigue and Respiratory Parameters in Patients After Open Heart Surgery
The Effect of Artificial Intelligence-Assisted Respiratory Training on Pain, Fatigue and Respiratory Parameters in Patients After Open Heart Surgery
This randomized controlled study aims to evaluate the effect of artificial intelligence (AI)-assisted respiratory training on fatigue, pain, and respiratory parameters in patients after open heart surgery.
Open heart surgery and related procedures (such as sternotomy, cardiopulmonary bypass, and chest tubes) can negatively affect pulmonary functions and cause postoperative pain, fatigue, and limited respiratory muscle function. While standard care involves respiratory exercises, there is insufficient data regarding the combination of upper extremity Range of Motion (ROM) exercises with deep breathing. This study will utilize AI-generated educational videos, created using tools like ChatGPT, Gemini, and Adobe Firefly, to guide patients in performing these exercises safely and correctly. Participants will be randomized into three groups: a Rhythmic Breathing group, a Range of Motion-Deep Breathing (ROM-DB) group, and a Control group. The interventions will be applied for three consecutive days. The study will evaluate outcomes including respiratory rate, oxygen saturation, heart rate, pain levels, fatigue, dyspnea, and chest tube drainage volume.
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