The relative accuracy of the left and the right arms in active positioning was studied in a group of 24 male right-handed undergraduates. The task required active positioning of the left and right arms at each of the four angular positions (30 degrees, 45 degrees, 60 degrees, and 75 degrees). The left arm was more accurate in active positioning than the right arm. There was a progressive increase in error for both arms as the arms flexed more in reducing the angle at the joint. Results are discussed in light of suggestions concerning the superiority of the right hemisphere in the processing of kinesthetic and proprioceptive information.
This paper presents the Coswara dataset, a dataset containing diverse set of respiratory sounds and rich meta-data, recorded between April-2020 and February-2022 from 2635 individuals (1819 SARS-CoV-2 negative, 674 positive, and 142 recovered subjects). The respiratory sounds contained nine sound categories associated with variants of breathing, cough and speech. The rich metadata contained demographic information associated with age, gender and geographic location, as well as the health information relating to the symptoms, pre-existing respiratory ailments, comorbidity and SARS-CoV-2 test status. Our study is the first of its kind to manually annotate the audio quality of the entire dataset (amounting to 65 hours) through manual listening. The paper summarizes the data collection procedure, demographic, symptoms and audio data information. A COVID-19 classifier based on bi-directional long short-term (BLSTM) architecture, is trained and evaluated on the different population sub-groups contained in the dataset to understand the bias/fairness of the model. This enabled the analysis of the impact of gender, geographic location, date of recording, and language proficiency on the COVID-19 detection performance.
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