Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Background: Acupuncture and moxibustion are effective in alleviating symptoms, but the large number of acupoints can make accurate needle placement and training difficult.
Objective: To address these challenges, this study aims to develop an augmented reality (AR) acupuncture navigation system designed to improve the accuracy and intuitiveness of acupoint localization.
Methods: The proposed system employs a six-point registration and positioning technique, enabling the AR navigation model to adapt to the specific characteristics of each patient.
Results: In testing, discrepancies between virtual and actual acupuncture points ranged from 0.6 mm to 3.9 mm, which is within the acceptable tolerance range for acupuncture.
Conclusion: This AR-based system shows promise in enhancing the precision of acupuncture point localization, potentially leading to improved treatment outcomes.
Download full-text PDF |
Source |
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http://dx.doi.org/10.3233/BME-240073 | DOI Listing |
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