AIMC Topic: Adult

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A comparison of logistic regression and artificial neural networks in predicting central lymph node metastases in papillary thyroid microcarcinoma.

Annali italiani di chirurgia
OBJECTIVE: Prophylactic central lymph node dissection(CLND) is a controversial issue in papillary thyroid microcarcinoma( PTMC) patients without lymphatic metastasis. Artificial neural network(ANN) has been proposed as an alternative statistical tech...

Self-powered robots to reduce motor slacking during upper-extremity rehabilitation: a proof of concept study.

Restorative neurology and neuroscience
BACKGROUND: Robotic rehabilitation is a highly promising approach to recover lost functions after stroke or other neurological disorders. Unfortunately, robotic rehabilitation currently suffers from "motor slacking", a phenomenon in which the human m...

Research: Use of Dry Electroencephalogram and Support Vector for Objective Pain Assessment.

Biomedical instrumentation & technology
The reliability of normal gel-based electrode electroencephalogram (EEG) for measuring pain has been validated. To date, however, few documented trials have used dry EEG for pain quantification. The primary goal of this study was to objectively quant...

Effects of robot-assisted therapy on upper extremity function and activities of daily living in hemiplegic patients: A single-blinded, randomized, controlled trial.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Many robots can induce passive movements and passive resistance movements to facilitate recovery of upper-extremity function, but it is rare to find robots that can also enable active resistance movements.

Classification of Infectious and Noninfectious Diseases Using Artificial Neural Networks from 24-Hour Continuous Tympanic Temperature Data of Patients with Undifferentiated Fever.

Critical reviews in biomedical engineering
Fever is one of the major clinical symptoms of undifferentiated fever cases. Early diagnosis of undifferentiated fever is a challenging task for the physician. The aim of this study was to classify infectious and noninfectious diseases from 24-hour c...

Error-augmented bimanual therapy for stroke survivors.

NeuroRehabilitation
BACKGROUND: Stroke recovery studies have shown the efficacy of bimanual training on upper limb functional recovery and others have shown the efficacy of feedback technology that augments error.

A support vector machine approach to detect trans-tibial prosthetic misalignment using 3-Dimensional ground reaction force features: A proof of concept.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Prosthetists conventionally evaluate alignment based on visual interpretation of patients' gait, which is convenient, but largely subjective and depends on prosthetists' experience.

Robotic rehabilitation training with a newly developed upper limb single-joint Hybrid Assistive Limb (HAL-SJ) for elbow flexor reconstruction after brachial plexus injury: A report of two cases.

Journal of orthopaedic surgery (Hong Kong)
This study aimed to evaluate the effectiveness and safety of using the upper limb single-joint Hybrid Assistive Limb (upper limb HAL-SJ) during elbow flexion training following elbow flexor reconstruction for brachial plexus injury (BPI). We present ...

Short-term outcomes in patients with colon cancer treated with robotic right colectomy.

Journal of B.U.ON. : official journal of the Balkan Union of Oncology
PURPOSE: To report a single surgeon series of consecutive robotic right colectomies (RRC) performed for non-metastatic right colon cancer.

A novel hand gesture recognition method based on 2-channel sEMG.

Technology and health care : official journal of the European Society for Engineering and Medicine
Hand gesture recognition is getting more and more important in the area of rehabilitation and human machine interface (HMI). However, most current approaches are difficult to achieve practical application because of an excess of sensors. In this work...