Perioperative safety and efficacy of robot-assisted total hip arthroplasty in ERAS-managed patients: a pilot study.

Aims: Robot-assisted total hip arthroplasty (rTHA) boasts superior accuracy in implant placement, but there is a lack of effective assessment in perioperative management in the context of enhanced recovery after surgery (ERAS). This study aimed to compare the effectiveness and safety of rTHA versus conventional total hip arthroplasty (cTHA) in ERAS-managed patients.

Methods: In this prospective trial, a total of 60 eligible patients aged between 18 and 80 years were randomly divided into two groups to undergo either rTHA or cTHA.

Robotic arm-assisted total hip arthroplasty for preoperative planning and intraoperative decision-making.

Aims: This article aimed to explore the efficacy of robotic arm-assisted total hip arthroplasty (THA) in improving preoperative planning and intraoperative decision-making.

Methods: In this single-center, prospective, randomized clinical controlled trial, 60 patients were randomly divided into two groups: conventional THA (cTHA) and robotic arm-assisted THA (rTHA). The rTHA underwent procedures using a robot-assisted surgical system, which generated three-dimensional models to determine the most appropriate prosthesis size and position.

[A cadaveric experimental study on domestic robot-assisted total knee arthroplasty].

Objective: To simulate and validate the performance, accuracy, and safety of the Yuanhua robotic-assisted total knee arthroplasty system (YUANHUA-TKA) through cadaver-based experiment, thus optimizing the robotic system for the future human clinical application.

Methods: Six unilateral adult cadaver specimens of the lower limbs were scanned by three-dimensional CT before the experiment, and then the three-dimensional models of femur and tibia were obtained by using the preoperative software of YUANHUA-TKA system, so as to plan the type of prosthesis implant, the osteotomy volume and osteotomy angles [hip-knee-ankle angle (HKA), coronal frontal femoral component (FFC) and frontal tibial component (FTC)], the ideal value of HKA was set to 180°, and of FFC and FTC were set to 90°, respectively. The operator could further confirm the osteotomy plan according to the intraoperative situation before osteotomy, and then install the prosthesis after completing the osteotomy in each plane with the assistance of YUANHUA-TKA system.

[An animal experimental study on domestic robot-assisted total knee arthroplasty].

Objective: To evaluate the performance, safety, and precision of the Yuanhua robotic-assisted total knee arthroplasty system (YUANHUA-TKA) through animal experiments, which will provide reference data for human clinical trials.

Methods: Six 18-month-old goats, weighing 30-35 kg, were used in this study. The experimental study was divided into two parts: the preoperative planning and intraoperative bone resection.

Experimental Validation of Motor Primitive-Based Control for Leg Exoskeletons during Continuous Multi-Locomotion Tasks.

An emerging approach to design locomotion assistive devices deals with reproducing desirable biological principles of human locomotion. In this paper, we present a bio-inspired controller for locomotion assistive devices based on the concept of motor primitives. The weighted combination of artificial primitives results in a set of virtual muscle stimulations.

Gait Phase Estimation Based on Noncontact Capacitive Sensing and Adaptive Oscillators.

This paper presents a novel strategy aiming to acquire an accurate and walking-speed-adaptive estimation of the gait phase through noncontact capacitive sensing and adaptive oscillators (AOs). The capacitive sensing system is designed with two sensing cuffs that can measure the leg muscle shape changes during walking. The system can be dressed above the clothes and free human skin from contacting to electrodes.

Fuzzy-logic-based hybrid locomotion mode classification for an active pelvis orthosis: Preliminary results.

In this paper, we present a fuzzy-logic-based hybrid locomotion mode classification method for an active pelvis orthosis. Locomotion information measured by the onboard hip joint angle sensors and the pressure insoles is used to classify five locomotion modes, including two static modes (sitting, standing still), and three dynamic modes (level-ground walking, ascending stairs, and descending stairs). The proposed method classifies these two kinds of modes first by monitoring the variation of the relative hip joint angle between the two legs within a specific period.

Gastrocnemius myoelectric control of a robotic hip exoskeleton.

In this paper we present a novel EMG-based assistive control strategy for lower-limb exoskeletons. An active pelvis orthosis (APO) generates torque profiles for the hip flexion motion assistance, according to the Gastrocnemius Medialis EMG signal. The strategy has been tested on one healthy subject: experimental results show that the user is able to reduce his muscular activation when the assistance is switched on with respect to the free walking condition.