Publications by authors named "Jagannathan Madhanagopal"

Background: Many independent studies have investigated the role of normalized maximal voluntary isometric strength (MVIS) of lower limb muscle groups (MVISLLMG) by body weight and summed knee and ankle muscle strength in predicting the risk of falling among older persons. However, it is unknown which MVISLLMG is better at predicting the fall risk.

Objective: This study aimed to compare different MVISLLMG in predicting fall-risk among older persons against the reference standard (history of falls).

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Background And Aims: The evaluation of breathing function is crucial in the clinical examination of the respiratory system. The Total Faulty Breathing Scale (TFBS) could be used in clinical settings to quantify the measurement of breathing dysfunction. Reliability data for the TFBS are available for males, but there is a requirement to determine reliability for females and to develop reference values.

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Due to the continued evolution of the SARS-CoV-2 pandemic, researchers worldwide are working to mitigate, suppress its spread, and better understand it by deploying digital signal processing (DSP) and machine learning approaches. This study presents an alignment-free approach to classify the SARS-CoV-2 using complementary DNA, which is DNA synthesized from the single-stranded RNA virus. Herein, a total of 1582 samples, with different lengths of genome sequences from different regions, were collected from various data sources and divided into a SARS-CoV-2 and a non-SARS-CoV-2 group.

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Background: Force Monitoring Devices (FMDs) reported in the literature to monitor applied force during Joint Mobilization Technique (JMT) possess complex design/bulky which alters the execution of treatment, has poor accuracy and is unable to feel the resistance provided by soft tissues limits its usage in the clinical settings.

Objectives: This study aims to develop a highly accurate, portable FMD and to demonstrate real-time monitoring of force applied by health professionals during JMT without altering its execution.

Methods: The FMD was constructed using the FlexiForce sensor, potential divider, ATmega 328 microcontroller, custom-written software, and liquid crystal display.

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An accurate measurement of intrinsic hand muscle strength (IHMS) is required by clinicians for effective clinical decision-making, diagnosis of certain diseases, and evaluation of the outcome of treatment. In practice, the clinicians use Intrins-o-meter and Rotterdam Intrinsic Hand Myometer for IHMS measurement. These are quite bulky, expensive, and possess poor interobserver reliability (37-52%) and sensitivity.

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Background: Research has been conducted on the prevalence and physical risk factors of work-related musculoskeletal disorders (WMSDs) among occupations such as agriculture workers, office workers, school teachers, and health care professionals. However, a paucity of research exists on the patterns and physical risk factors of WMSDs among the academicians in a higher learning institution. This study was conducted to determine the patterns and physical risk factors of WMSDs among the academicians.

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