Evidence map›Paper›PMID 29081939›Full record

ArticleJournal of healthcare engineering2017

Development of an Automatic Dispensing System for Traditional Chinese Herbs.

Chi-Ying Lin, Ping-Jung Hsieh

Abstract read
In one paragraph

Article in Journal of healthcare engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Traditional Chinese Medicine Recognition Based on Target Detection.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Chi-Ying LinDepartment of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei City, Taiwan.ORCID 0000-0002-6418-8474
Ping-Jung HsiehDepartment of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei City, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gathering of ingredients for decoctions of traditional Chinese herbs still relies on manual dispensation, due to the irregular shape of many items and inconsistencies in weights. In this study, we developed an automatic dispensing system for Chinese herbal decoctions with the aim of reducing manpower costs and the risk of mistakes. We employed machine vision in conjunction with a robot manipulator to facilitate the grasping of ingredients. The name and formulation of the decoction are input via a human-computer interface, and the dispensing of multiple medicine packets is performed automatically. An off-line least-squared curve fitting method was used to calculate the amount of material grasped by the claws and thereby improve system efficiency as well as the accuracy of individual dosages. Experiments on the dispensing of actual ingredients demonstrate the feasibility of the proposed system.

Indexed as

AutomationDrugs, Chinese HerbalAlgorithmsDosage FormsDrug CompoundingEquipment DesignHumansImage Processing, Computer-AssistedLeast-Squares AnalysisMachine LearningMedicine, Chinese TraditionalPlant ExtractsPlants, MedicinalReproducibility of ResultsRoboticsTechnology, PharmaceuticalDosage FormsDrugs, Chinese HerbalPlant Extracts

Identifiers

PMID29081939
PMCPMC5610888

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.