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To evaluate the efficacy and safety of the wrist and ankle electrical stimulation analgesia therapy device in the management of analgesia after thyroidectomy by conducting clinical studies to collect data. It will also be combined with the Internet of Things technology to develop artificial intelligence equipment or applications to achieve remote monitoring and intelligent alarm, and improve the timeliness and initiative of pain management after thyroidectomy. In the future, we will further carry out a series of research work to explore the possible analgesic mechanisms through molecular biology and neurophysiology.
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Project Research Objectives:
Project Research Contents:
Parameter Setting and Evaluation of the Wrist-Ankle Electrical Stimulation Analgesia Device
Parameter setting of the wrist-ankle electrical stimulation analgesia device: Adjust the device parameters most suitable for post-thyroidectomy analgesia management and determine the corresponding acupoints, intervention timing, and intervention duration, etc.
Safety and effectiveness evaluation: Evaluate the safety and effectiveness of the selected device to ensure that it does not cause additional harm or risk to patients during use and can achieve the expected analgesic effect.
Formulation and Optimization of Analgesic Schemes
Individualized analgesic schemes: Develop individualized analgesic schemes based on patients' age, gender, weight, surgical scope, pain degree, and other factors.
Analgesic effect monitoring: Evaluate the pain degree of patients at different time points after surgery using VAS scores and other scales for quantitative assessment to monitor the analgesic effect.
Scheme optimization and adjustment: Adjust the analgesic scheme in a timely manner based on the monitoring results of the analgesic effect, such as adjusting the intervention time and stimulation duration, to achieve the best analgesic effect.
Clinical Application of the Wrist-Ankle Electrical Stimulation Analgesia Device
Operation training: Provide operation training for medical staff to ensure they can master the usage methods and precautions of the device proficiently.
Patient education: Educate patients on postoperative analgesia management, including relevant precautions, possible side effects and countermeasures, etc., to improve patients' compliance and encourage them to actively participate in their own pain management.
Observation of clinical application effects: Observe and record the pain degree, comfort level, adverse reactions, etc. of patients during the postoperative analgesia management process using the device, and evaluate its clinical application effect.
Remote monitoring and operation: Develop artificial intelligence equipment or mobile application APPs to achieve remote monitoring and operation.
Data Analysis and Mechanism Exploration
Data collection: Collect patients' pain scores, analgesic drug usage, adverse reaction rates, and preoperative and postoperative psychological evaluation scales, etc.
Statistical analysis: Use statistical methods to process and analyze the collected data, compare the effects of different analgesic schemes, and evaluate the effect, safety, and patient satisfaction of the wrist-ankle electrical stimulation analgesia device in post-thyroidectomy analgesia management based on the analysis results.
Exploration of analgesic mechanisms: Further explore the possible analgesic mechanisms through molecular biology and neurophysiology methods. For example, use neuroelectrophysiological techniques (such as EEG, EMG, etc.) to study the effects of electrical stimulation on neuronal activity, including changes in excitability, inhibition, and synchronization of neurons. Observe whether the neural activity patterns in pain-related brain regions change under the effect of electrical stimulation and how these changes affect pain perception. It is also possible to study whether electrical stimulation alleviates pain by activating the endogenous analgesic system, such as by releasing endorphins and other analgesic substances.
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668 participants in 2 patient groups, including a placebo group
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Data sourced from clinicaltrials.gov
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