| Literature DB >> 31336417 |
Inhoe Ku1, Gordon K Lee2, Chan Yong Park3, Janghyuk Lee4, Euicheol Jeong5.
Abstract
BACKGROUND: Prosthetic hands with a myoelectric interface have recently received interest within the broader category of hand prostheses, but their high cost is a major barrier to use. Modern three-dimensional (3D) printing technology has enabled more widespread development and cost-effectiveness in the field of prostheses. The objective of the present study was to evaluate the clinical impact of a low-cost 3D-printed myoelectric-interface prosthetic hand on patients' daily life.Entities:
Keywords: Amputation stump; Artificial limbs; Hand
Year: 2019 PMID: 31336417 PMCID: PMC6657188 DOI: 10.5999/aps.2018.01375
Source DB: PubMed Journal: Arch Plast Surg ISSN: 2234-6163
Fig. 1.3D printed single channel myoelectric hand prosthesis
(A) The single channel electromyography (EMG) sensor is installed in the socket where the maximal voltage change was check in the amputated forearm. (B, C) The prosthesis model with surface EMG sensor detects the location of the highest voltage change of myoelectrical signal in the stump, when the patient moving the remnant forearm muscle. The voltage change is displayed in the screen on the hand. This model can be used for the pre-application exam and patient’s follow-up. 3D, three-dimensional.
Fig. 2.Predefined hand postures
(A-D) The basic postures of hands are programmed in the prosthesis such as pinch, grasping and etc. Photographs by courtesy of Sangho Yi.
Fig. 3.Myoelectrical signals assigned predefine patterns
The upward rectangular curve indicates the duration of muscle contraction and the downward does those of muscle relaxation. Lines and dots indicate the contraction duration of muscle. OLED, organic light-emitting diode; EMG, electromyography. Figure by courtesy of Sanho Yi.
Demographic information (n=10)
| Characteristic | Value |
|---|---|
| No. of patients | 10 (100) |
| Sex | |
| Male | 8 (80) |
| Female | 2 (20) |
| Age (yr) | 49.6 ± 14.159 |
| Affected forearm | |
| Right only | 5 (50) |
| Left only | 4 (40) |
| Bilateral | 1 (10) |
| Location of surface EMG sensor | |
| FCR | 8 (80) |
| ECU | 2 (20) |
| Cause of amputation | |
| Trauma | 9 (90) |
| Chronic disease | 1 (10) |
| Radius length (mm) | 124.8 ± 52.315 |
Values are presented as number (%) or mean±SD.
EMG, electromyography; FCR, flexor carpi radialis muscle; ECU, extensor carpi ulnaris muscle.
OPUS-UEFS scores, VAS scores, and prosthesis usage
| Mean ± SD | P-value | ||||
|---|---|---|---|---|---|
| Pre-application | Post-application 1 mon | Post-application 3 mon | Pre–Post 1st | Pre–Post 3rd | |
| OPUS-UEFS | 45.50 ± 21.45 | 54.00 ± 27.84 | 60.10 ± 22.80 | 0.1063 | 0.0014[ |
| VAS | 5.200 ± 1.687 | 4.500 ± 2.173 | 4.000 ± 2.449 | 0.7 | 0.03[ |
OPUS-UEFS, Orthotics Prosthetics User Survey–Upper Extremity Functional Status; VAS, visual analog scale of pain; Pre–Post 1st, between pre-application status and 1 month post-application; Pre–Post 3rd, between pre-application and 3 months post-application.
Statistically significant, P<0.05.
Correlations between OPUS-UEFS and age, radius length, and daily usage duration among subjects who used the 3D-printed prosthesis
| OPUS-UEFS | Radius length (mm) | Age (yr) | Daily usage duration (hr) | |||
|---|---|---|---|---|---|---|
| r | P-value | r | P-value | r | P-value | |
| Post-application 1 mon | 0.646[ | 0.043 | –0.389 | 0.266 | 0.588 | 0.074 |
| Post-application 3 mon | 0.815[ | 0.004 | –0.297 | 0.405 | 0.474 | 0.166 |
| Pre–Post 1st | –0.693[ | 0.026 | 0.564 | 0.090 | –0.243 | 0.498 |
| Pre–Post 3rd | –0.634[ | 0.049 | 0.170 | 0.638 | 0.076 | 0.834 |
OPUS-UEFS, Orthotics Prosthetics User Survey–Upper Extremity Functional Status; 3D, three-dimensional; Pre–Post 1st, between pre-application status and 1 month post-application; Pr–Post 3rd, between pre-application and 3 months post-application.
Statistically significant, P<0.05.