Deep learning enhanced transmembranous electromyography in the diagnosis of sleep apnea.

However, several studies have pointed to issues with HSAT; false negatives may be significant in high-risk patients (18%) [ 32 ], HSAT may underestimate AHI severity by about 10% [ 33 ], specificity increases while sensitivity decreases as severity of sleep apnea increases, and technical failure is an important concern [ 34 ].

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