CBT-I Treatment System Using Biosignal Data for Personalized Insomnia Therapy
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Solution Overview
Problem
Current insomnia treatments, including drug therapies and traditional Cognitive-Behavioral Therapy for Insomnia (CBT-I), face challenges such as side effects, compliance issues, and the need for frequent hospital visits, as well as a lack of personalized approaches.
Innovation Solution
A CBT-I treatment system comprising a server that utilizes biosignal data from patients to tailor therapy programs, including EEG, ECG, EMG, and PPG signals, to generate personalized prescriptions, which can be transmitted to patients' terminals, allowing remote treatment and feedback loops with experts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional CBT-I treatment is implemented with 4-8 hospital visits, then treatment effectiveness is improved, but patient compliance deteriorates and time cost increases
Solution Approach 1:
The system enables patients to perform self-monitoring of sleep parameters using wearable devices and mobile applications, eliminating the need for frequent hospital visits while maintaining treatment effectiveness through automated data collection and AI-driven personalized program adjustment
Solution Approach 2:
The patent replaces the mechanical system of in-person hospital visits with an automated digital system comprising wearable biosensors, mobile applications, and AI algorithms that deliver personalized CBT-I programs remotely, thereby improving compliance while maintaining treatment reliability
2Ease of manufacture
If uniform CBT-I programs are applied to all patients, then treatment standardization is improved, but individual patient characteristics are not reflected
Solution Approach 1:
The system dynamically adapts standardized CBT-I programs by using AI algorithms to process individual patient biosignal data and lifestyle information, automatically adjusting treatment parameters and content to match each patient's specific characteristics while maintaining the structural framework of standardized therapy
Solution Approach 2:
The patent changes treatment parameters based on individual patient data including age, gender, sleep habits, and biosignals, allowing the standardized CBT-I program to be customized for each patient through automated adjustment of therapy intensity, duration, and specific intervention strategies
3Object-affected harmful factors
If drug treatment is used for long-term insomnia management, then symptom relief is improved, but side effects increase and long-term use becomes problematic
Solution Approach 1:
The system converts the harm of long-term drug dependency into benefit by providing an effective non-pharmacological alternative that addresses the root causes of insomnia through behavioral modification, while using AI to optimize treatment efficiency to match or exceed drug therapy outcomes
Data Source
AI summary
Disclosed are a CBT-I treatment system for the treatment of insomnia and an operation method thereof. In accordance with an aspect of the present disclosure, a CBT-I treatment server including a database configured to store a plurality of CBT-I programs for insomnia treatment; a sleep evaluator configured to generate sleep evaluation data of an insomnia patient based on biosignal data including a change in a biosignal during sleep of the insomnia patient; a CBT-I prescriber configured to determine a CBT-I program for insomnia treatment of the insomnia patient from among the plural CBT-I programs based on the sleep evaluation data and to generate a CBT-I prescription including the determined CBT-I program; and a communicator configured to receive a biosignal from a biosignal collection device for generating biosignal data by sensing a change in a biosignal during sleep of the insomnia patient and to transmit the CBT-I prescription to an insomnia patient's terminal is provided.