文献类型: 会议论文
第一作者: Miguel A. Camara
作者: Miguel A. Camara 1 ; Yolanda Castillo 1 ; Dolores Blanco-Almazan 2 ; Luis Estrada 1 ; Raimon Jane 2 ;
作者机构: 1.Institute for Bioengineering of Catalonia (IBEC) and the Centro de Investigacion Biomedica en Red de Bioingenieria, Biomateriales y Nanomedicina (CIBER-BBN)
2.IBEC, CIBER-BBN and ESAII Department, Universitat Politecnica-Barcelona Tech (UPC)
会议名称: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
主办单位:
页码: 1555-1558
摘要: Obstructive Sleep Apnea (OSA) is a sleep disorder that affects mainly the adult and elderly population. Due to the high percentage of patients who remain undiagnosed and untreated because of limitations of current diagnosis methods, the management of OSA is an important social, scientific and economic problem that will be difficult to be assumed by health systems. On the other hand, smartphone platforms (mHealth systems) are being considered as an innovative solution, thanks to the integration of the essential sensors to obtain clinically relevant parameters in the same device or in combination with wireless wearable devices. We found that smartphone sound recording is limited to detect breathing cycles compared to classical tracheal microphones, due to the lower SNR of sound signals acquired with smartphone microphones, especially in quiet breathing. To solve this limitation, we focused on the combined use of sound and accelerometry in a smartphone placed on the chest, to capture additionally breathing movement information that can improve identification of respiratory cycles and apnea events. We found that smartphones accelerometer improves the detection of respiratory events, independently of the position of the patient. The same conclusions have been obtained in a proof-of-concept during nocturnal recordings at home, showing that this prototype of mHealth set could be useful to monitor OSA patients.
分类号: Q81-53
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