Effect of Trunk Training to Improve Balance and Gait Performance Among Stroke Patients: A Review

Vidhya Krishna P

Effect of Trunk Training to Improve Balance and Gait Performance Among Stroke Patients: A Review

Keywords : Stroke, Trunk Control, Balance, Gait, Rehabilitation, Core Stability, Dance Therapy, Tai Chi, Robotic-Assisted Therapy, Telerehabilitation.


Abstract

Background: Stroke significantly impacts motor functions, including balance and gait, due to trunk weakness, leading to compromised postural control and reduced functionality. Rehabilitation approaches like core stability exercises, dance therapy, Tai Chi, interactive gaming, and robotic assisted therapies are examined for their effectiveness in enhancing trunk function, balance, and gait among stroke survivors.

Aims and Objectives: The study aims to evaluate the impact of different trunk training methods on balance and gait in stroke patients, specifically assessing core stability exercises, dance therapy, sitting Tai Chi, interactive gaming, robotic-assisted therapy, and cycle ergometry.

Materials and Methods: A comprehensive literature review of studies from 2022 was conducted, focusing on stroke patients aged over 18 with more than six months of recovery. Six articles meeting the criteria were analyzed, evaluating interventions such as core stability exercises, Tai Chi, dance therapy, interactive gaming, robotic therapy, and cycle ergometry.

Results: The selected studies reported improvements in trunk control, balance, and gait across interventions. Core stability exercises, sitting Tai Chi, and dance therapy delivered via telerehabilitation improved postural stability. Robotic-assisted therapy and gaming enhanced motor functions, while cycle ergometry promoted balance in acute stroke patients.

Conclusion: Trunk training through core stability exercises, Tai Chi, and robotic-assisted rehabilitation shows promise in enhancing functional outcomes in stroke patients. However, long-term adherence to home-based exercises and intervention optimization remains challenges.

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