Machine learning assisted wearable wireless device for sleep apnea syndrome diagnosis

HIGHLIGHTS

• who: Shaokui Wang et al. from the Hangzhou Dianzi University, Hangzhou, China have published the article: Machine Learning Assisted Wearable Wireless Device for Sleep Apnea Syndrome Diagnosis, in the Journal: Biosensors 2023, 483 of /2023/
• what: To solve the problem of complicated and expensive operation procedures for clinical of sleep here the authors propose a small and low-cost wearable diagnostic system. In this work, a wearable wireless sleep monitoring system in the form of a smart ri is proposed, which uses reflective optical PPG sensors to capture PPG data and bl is proposed, which . . .
  

   

  

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