| Literature DB >> 35755722 |
Ramadhan Rashid Said1, Wang Quan Yong1, Md Belal Bin Heyat2,3,4, Liaqat Ali5, Song Qiang6, Arif Ali7, Hafiz Tayyab Rauf8, Zhe Wu1.
Abstract
Poststroke and traumatic elbow injuries are the most common cause of elbow stiffness, which results in loss of functional range of motion (ROM). Various studies support early mobilization of the elbow joint after injury or after surgery to reduce risks of elbow stiffness development. After hospitalization, patients are required to follow a long-term rehabilitation program during home recovery. Still, most patients do not adhere to their clinical therapy schedule due to either rehabilitation cost, social obligations, negligence, or lack of inspiration. Moreover, the numbers of therapists and assessment equipment are insufficient. This study introduces a smart elbow brace (SEB) as a home-based rehabilitation device that reduces regular in-patient rehabilitation costs and therapist workload and motivates patients to comply with the rehabilitation program that enhances the achievement of rehabilitation goals. Our device has two active degrees of freedom (2-DoF) that allow extension, flexion, pronation, and supination elbow motions. An extra sliding joint between forearm and wrist is added, which helps dump forces concentration at the elbow joint during extension-flexion movement. Mechanical design requirements, motion-tracking systems, and serious game development are described. The feasibility of a proposed SEB device is tested with five healthy subjects playing developed serious games with the device. The results show that subjects can attain maximum and minimum angles of flexion-extension and pronation-supination motion designed for elbow stiffness rehabilitation. The SEB device will be beneficial and be used at home as a complementary tool to support elbow stiffness rehabilitation during long-term home recovery.Entities:
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Year: 2022 PMID: 35755722 PMCID: PMC9225837 DOI: 10.1155/2022/3754931
Source DB: PubMed Journal: Comput Intell Neurosci
Figure 13D model of the designed SEB as a home-based rehabilitation device consists of 2-DoF.
Figure 2Detailed design of a smart elbow brace.
Figure 3A schematic diagram of the designed SEB operation.
Human anthropometric 95th percentile data (HAD).
| Name | Male | Female |
|---|---|---|
| Length of the upper arm (m) | 0.39 | 0.36 |
| Hand length (upper arm + forearm) (m) | 0.52 | 0.46 |
| Mass in the lower arm (kg) | 1.66 | 1.24 |
| Upper arm mass (kg) | 2.67 | 2.07 |
| Position of lower arm and hand center of mass (%) | 0.318 | |
| Bicep's circumference, relaxed (cm) | 35.1 | 29.3 |
| Bicep's circumference, flexed (cm) | 36.9 | — |
| Forearm circumference, relaxed (cm) | 32.7 | 24.1 |
| Wrist circumference (cm) | 19.3 | 16.2 |
| Elbow width (cm) | 8.2 | 7.4 |
Figure 4Total weight required to be supported by the forearm splint.
The relationship between designed SEB and normal human ROM.
| Type of ROM | Normal human ROM in degrees (90% of normal daily activity) | Designed elbow brace ROM in degrees |
|---|---|---|
| Elbow flexion/extension | 130/30 | 135/0 |
| Forearm pronation/supination | 50/50 | 50/50 |
Figure 5Stopping mechanisms as angle adjusters.
Figure 6Motion-tracking system electronic block design.
Figure 7The IMU frames and Earth frames.
Figure 8The ball-catching game (a) with the self-assessment avatar of a player (b). After the game setup, the avatar is turned on to see whether the sensor is in the right position and right elbow.
Figure 9SEB was worn by a participant to test ROM and to use it for serious game rehabilitation.
Figure 10Forearm stress analysis.
Figure 11The angles and time attained by the participants when they were playing a serious game using SEB: (a) maximum and minimum angles attained from the flexion-extension rehabilitation and (b) maximum and minimum angles attained from the pronation-supination.