Statistical Validation for Clinical Measures: Repeatability and Agreement of Kinect™-Based Software.

<italic>Background</italic>. The rehabilitation process is a fundamental stage for recovery of people’s capabilities. However, the evaluation of the process is performed by physiatrists and medical doctors, mostly based on their observations, that is, a subjective appreciation of the patient’s evolu...

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Publicado en:BioMed Research International Vol. 2018; pp. 1 - 12
Autores principales: Lopez, Natalia, Perez, Elisa, Tello, Emanuel, Rodrigo, Alejandro, Valentinuzzi, Max E.
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Wiley-Blackwell 3/20/2018
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 3/20/2018
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      pub: Wiley-Blackwell
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        128593153
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        10.1155/2018/6710595
        128593153
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        atl: Statistical Validation for Clinical Measures: Repeatability and Agreement of Kinect™-Based Software.
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        au:
          Lopez, Natalia
          Perez, Elisa
          Tello, Emanuel
          Rodrigo, Alejandro
          Valentinuzzi, Max E.
        affil: Gabinete de Tecnología Médica, Facultad de Ingeniería, Universidad Nacional de San Juan, CONICET, San Juan, Argentina
      sug:
        subj:
          Biosensors
          Software
          Physical Therapy Equipment and Supplies
          Validation Studies
          Rehabilitation Patients
          Goniometry
          Measurement Issues and Assessments Methods
          Physical Therapists
          Patient History Taking
          Reliability
          Cost Savings
          Human
      ab: <italic>Background</italic>. The rehabilitation process is a fundamental stage for recovery of people’s capabilities. However, the evaluation of the process is performed by physiatrists and medical doctors, mostly based on their observations, that is, a subjective appreciation of the patient’s evolution. This paper proposes a tracking platform of the movement made by an individual’s upper limb using Kinect sensor(s) to be applied for the patient during the rehabilitation process. The main contribution is the development of quantifying software and the statistical validation of its performance, repeatability, and clinical use in the rehabilitation process.<italic> Methods</italic>. The software determines joint angles and upper limb trajectories for the construction of a specific rehabilitation protocol and quantifies the treatment evolution. In turn, the information is presented via a graphical interface that allows the recording, storage, and report of the patient’s data. For clinical purposes, the software information is statistically validated with three different methodologies, comparing the measures with a goniometer in terms of agreement and repeatability.<italic> Results</italic>. The agreement of joint angles measured with the proposed software and goniometer is evaluated with Bland-Altman plots; all measurements fell well within the limits of agreement, meaning interchangeability of both techniques. Additionally, the results of Bland-Altman analysis of repeatability show 95% confidence. Finally, the physiotherapists’ qualitative assessment shows encouraging results for the clinical use.<italic> Conclusion</italic>. The main conclusion is that the software is capable of offering a clinical history of the patient and is useful for quantification of the rehabilitation success. The simplicity, low cost, and visualization possibilities enhance the use of the software Kinect for rehabilitation and other applications, and the expert’s opinion endorses the choice of our approach for clinical practice. Comparison of the new measurement technique with established goniometric methods determines that the proposed software agrees sufficiently to be used interchangeably.
      pubtype: Academic Journal
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        equations & formulas
        pictorial
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      ougenre: Article
    language: English
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