There are many techniques of monitoring leg lymphedema during physical therapy. Taking volumetric measurements with a tape measure is among the most common clinically, and changes in volume are typically used to measure therapy efficacy. This study shows how the Kinect infrared (IR) sensor with custom algorithms can assess leg circumferences and volumes comparable with tape measurements taken by a trained therapist while exploring regional leg changes to determine uniformity of change. Leg volumes were measured in 38 lymphedema patients using the tape measure circumference method and the Kinect IR system. Changes in circumferences in various leg regions over the course of therapy were analyzed in 23 patients. The leg circumferences ( = 0.9522) and volumes ( = 0.9847) strongly correlated between the two methods. The Bland-Altman analysis indicated a circumference percent different bias of 1.6 (6.2%), requiring a minor correction factor between the two methods. Over the course of therapy, patients with a reduction in leg volume, defined as a change >6.5% have greater reduction most distal to the body. The Kinect IR system explored can be used clinically for leg volume measurements to monitor leg lymphedema patients over the course of their therapy. Implementing analysis of regional leg changes can better inform physical therapy to improve efficacy of treatment.
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http://dx.doi.org/10.1089/lrb.2019.0036 | DOI Listing |
Rheumatol Int
December 2024
Clinic of Rheumatology, UMHAT "Kaspela", Medical University of Plovaffiliation, 64 Sofia str, Plovaffiliation, 4000, Bulgaria.
Background: Rheumatoid arthritis is a progressive disease that requires continuous treatment. Despite the excellent results, treatment with biologics and target-specific disease-modifying anti-rheumatic drugs often has to be interrupted due to insufficient therapeutic effectiveness, toxicity, or side effects.
Purpose: The purpose of this study is to identify the reasons and factors influencing treatment discontinuation with biologic and target-specific drugs among the Bulgarian patients with rheumatoid arthritis.
JMIR Ment Health
December 2024
Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim / Heidelberg University, Mannheim, Germany.
Background: Mobile devices for remote monitoring are inevitable tools to support treatment and patient care, especially in recurrent diseases such as major depressive disorder. The aim of this study was to learn if machine learning (ML) models based on longitudinal speech data are helpful in predicting momentary depression severity. Data analyses were based on a dataset including 30 inpatients during an acute depressive episode receiving sleep deprivation therapy in stationary care, an intervention inducing a rapid change in depressive symptoms in a relatively short period of time.
View Article and Find Full Text PDFAnn Neurol
December 2024
Department of Neurology, Washington University School of Medicine, St. Louis, MO.
Objective: Despite treatments which reduce relapses in multiple sclerosis (MS), many patients continue to experience progressive disability accumulation. MS is associated with metabolic disruptions and cerebral metabolic stress predisposes to tissue injury and possibly impaired remyelination. Additionally, myelin homeostasis is metabolically expensive and reliant on glycolysis.
View Article and Find Full Text PDFFront Psychiatry
December 2024
Department of Psychiatry, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo General Hospital, Jakarta, Indonesia.
Background: Psychodynamic psychotherapy is a type of psychotherapy for individuals with borderline personality disorder (BPD). However, competency in conducting effective psychodynamic psychotherapy for BPD is difficult to evaluate. Therefore, this study aimed to identify the psychometric properties of a comprehensive scale to assess cognitive, affective, and psychomotor competencies (CS-CAPC) in psychodynamic psychotherapy for BPD.
View Article and Find Full Text PDFGenet Med Open
May 2024
Departments of Genetics, Medicine, and Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
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