Robotic physiotherapist could treat patients and cut waiting times

A robotic system to treat physiotherapy patients with lower limb problems could lead to a decrease in waiting lists and the ability for patients to be treated outside of clinics.

The prototype NeXOS system can be instructed to remember and repeat specific limb movements which have been programmed by a physiotherapist. This removes the need for the physiotherapist to manipulate the patient's limbs manually, so that they would not need to be present when the exercises were taking place.

It is also possible to alter the range of movement, speed, resistance, and amount of exercises, ensuring that each programme is individually tailored to the patient's needs.

NeXOS remotely feeds information directly back to the physiotherapist, so they could monitor their patient's progress from another location, and could even adapt the exercise programme remotely.

This opens up the possibility for patients to be treated with the system in non-clinical settings such as their own homes, gyms and sports centres.

The project is the result of a collaboration between Sheffield Hallam University, the University of Sheffield, Barnsley Teaching Hospitals NHS Trust and the University of Abertay Dundee.

Dr Sue Mawson, from the Centre for Heath and Social Care Research at Sheffield Hallam University and one of the research physiotherapists involved in developing the system explains, "The NeXOS system needs to be trialled clinically, but offers the potential for physiotherapists to effectively treat more patients. It requires the expertise of a physiotherapy professional to assess the patients needs, programme the exercises and to analyse the data to check its effectiveness, but takes away the need for all treatment to be conducted face-to-face, in one-to-one sessions.

"This system is also good news for patients as it will allow them to schedule their therapy more easily to fit in with their lives, rather than having to meet appointment times with therapists. It will also cut waiting times for treatment.

"The beauty of the system is that the therapist would be able to monitor progress, adapt the programme remotely, and to easily assess when a patient needs a follow-up session face-to-face."

Further research is planned on ways in which therapists could use the technology more effectively either as a teaching tool for e-learning or as an adjunct to rehabilitation.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Sheffield Hallam University. (2023, January 17). Robotic physiotherapist could treat patients and cut waiting times. News-Medical. Retrieved on November 23, 2024 from https://www.news-medical.net/news/2007/02/12/Robotic-physiotherapist-could-treat-patients-and-cut-waiting-times.aspx.

  • MLA

    Sheffield Hallam University. "Robotic physiotherapist could treat patients and cut waiting times". News-Medical. 23 November 2024. <https://www.news-medical.net/news/2007/02/12/Robotic-physiotherapist-could-treat-patients-and-cut-waiting-times.aspx>.

  • Chicago

    Sheffield Hallam University. "Robotic physiotherapist could treat patients and cut waiting times". News-Medical. https://www.news-medical.net/news/2007/02/12/Robotic-physiotherapist-could-treat-patients-and-cut-waiting-times.aspx. (accessed November 23, 2024).

  • Harvard

    Sheffield Hallam University. 2023. Robotic physiotherapist could treat patients and cut waiting times. News-Medical, viewed 23 November 2024, https://www.news-medical.net/news/2007/02/12/Robotic-physiotherapist-could-treat-patients-and-cut-waiting-times.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Sheffield Hallam University researchers use 3D imaging scanners to analyse performance of cyclists