Internet of Things As A Solution Enabler In Health Sector

Jog, Yatin; Sharma, Apurva; Mhatre, Kalyani; Abhishek, Anand

doi:10.14257/ijbsbt.2015.7.2.02

Cited by 8 publications

(2 citation statements)

References 9 publications

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“…To highlight a few, Antón et al (2013) have presented a telerehabilitation system called KiReS (Kinect Rehabilitation System), a Kinect-based telerehabilitation system that allows for rehabilitation specialists to record exercises for a patient to perform and the patient can receive immediate feedback on their performance of the defined exercise (Antón et al, 2013). Vukićević et al (2015) proposed a telerehabilitation platform based on Internet of things (IoT)-a contemporary technology aimed at improving healthcare by revamping classical methods of medical care (Jog et al, 2015)-that utilizes markerless motion capture to track and detect body movement (Vukićević et al, 2015). There is currently a gap in the literature with respect to lower limb telerehabilitation applications, with the majority of these studies only assessing posture and/or upper limb motor tasks.…”

Section: Telerehabilitationmentioning

confidence: 99%

A SWOT Analysis of Portable and Low-Cost Markerless Motion Capture Systems to Assess Lower-Limb Musculoskeletal Kinematics in Sport

Armitano-Lago

Dominic

Kiefer

2022

Front. Sports Act. Living

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Markerless motion capture systems are promising for the assessment of movement in more real world research and clinical settings. While the technology has come a long way in the last 20 years, it is important for researchers and clinicians to understand the capacities and considerations for implementing these types of systems. The current review provides a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis related to the successful adoption of markerless motion capture technology for the assessment of lower-limb musculoskeletal kinematics in sport medicine and performance settings. 31 articles met the a priori inclusion criteria of this analysis. Findings from the analysis indicate that the improving accuracy of these systems via the refinement of machine learning algorithms, combined with their cost efficacy and the enhanced ecological validity outweighs the current weaknesses and threats. Further, the analysis makes clear that there is a need for multidisciplinary collaboration between sport scientists and computer vision scientists to develop accurate clinical and research applications that are specific to sport. While work remains to be done for broad application, markerless motion capture technology is currently on a positive trajectory and the data from this analysis provide an efficient roadmap toward widespread adoption.

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Section: Telerehabilitationmentioning

confidence: 99%

A SWOT Analysis of Portable and Low-Cost Markerless Motion Capture Systems to Assess Lower-Limb Musculoskeletal Kinematics in Sport

Armitano-Lago

Dominic

Kiefer

2022

Front. Sports Act. Living

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“…Internet of things (IoT) is a contemporary technology with the potential to alter or replace the various methods of classical medicine [1] and improve healthcare. The advantage of measuring physical parameters using IoT devices instead of conventional ones is that the connected intelligent IoT devices can carry out measurements independently, and carry out a specific action based on the measurement results.…”

Section: Introductionmentioning

confidence: 99%

A new telerehabilitation system based on internet of things

Vukićević

Stamenković

Murugesan

et al. 2016

Facta Univ Electron Energ

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Internet of Things (IoT) applied in healthcare system has a huge potential to improve patients' quality of life. Representing network of devices embedded with electronics and sensors, IoT enables constant monitoring of vital body functions, tracking of physical activities of a person and aids rehab physical therapy. Such an IoT-based system would allow standalone recovery process, minimizing the need for dedicated medical personnel and could be used in both hospital and home conditions. In this paper, we present a telerehabilitation system that uses wearable muscle sensor and Microsoft Kinect to create interactive personalized physical therapy that can be carried out at home. Early experiments and results of pilot implementation validate the feasibility and effectiveness of the proposed IoT-enabled telerehabilitation system.

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Smart E-Healthcare Business Model Using IoT

Somkunwar

2023

Signals and Communication Technology

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Internet of Things As A Solution Enabler In Health Sector

Abstract: Abstract

Cited by 8 publications

References 9 publications

A SWOT Analysis of Portable and Low-Cost Markerless Motion Capture Systems to Assess Lower-Limb Musculoskeletal Kinematics in Sport

A SWOT Analysis of Portable and Low-Cost Markerless Motion Capture Systems to Assess Lower-Limb Musculoskeletal Kinematics in Sport

A new telerehabilitation system based on internet of things

Smart E-Healthcare Business Model Using IoT

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