An Internet of Medical Things System to Increase Continuous Positive Airway Pressure Usage in Patients with Sleep-Disordered Breathing

被引：0

作者：

Croatti A. ^{[1
]}

Montagna S. ^{[1
]}

Lombardi C. ^{[2
]}

Parati G. ^{[2
]}

Pengo M.F. ^{[2
]}

Silvani A. ^{[3
]}

机构：

[1] Department of Computer Science and Engineering, University of Bologna, Bologna

[2] Department of Cardiovascular, Neural and Metabolic Sciences, Sleep Disorder Centre, IRCCS Istituto Auxologico Italiano, Milan

[3] Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna

来源：

SN Computer Science | 2021年 / 2卷 / 2期

关键词：

Adherence; Compliance; CPAP; ICT; IMT; Sleep apnea;

D O I：

10.1007/s42979-021-00522-x

中图分类号：

学科分类号：

摘要：

Obstructive sleep apnea (OSA) is a highly prevalent sleep disorder associated with increased daytime sleepiness and cardiovascular risk. Continuous positive airway pressure (CPAP), requiring a pressure-generating device connected via tubing to a mask during sleep, is an effective treatment. However, patients’ adherence to CPAP is often suboptimal. Behavioral interventions are effective in improving adherence to CPAP. We aimed to provide proof of principle for the operation of a low-cost, self-standing, internet-based system to measure and promote adherence to CPAP. The system is composed of triaxial acceleration sensors attached to the CPAP mask and to the wrist, able to record CPAP usage information, and a mobile app that collects such information and, thorough a chatbot, feeds back to the patient to improve adherence to treatment. The mask subsystem identifies time periods when the mask is put on based on relatively high values of the ratio between acceleration spectral power at frequencies < 0.35 Hz vs. 0.35–2 Hz over 1-min windows. Accuracy in identification may be increased taking account of the surges in the standard deviation of wrist accelerations over 1-min windows that accompany putting on and taking off the mask. The whole system can represent a unique tool capable of monitoring and improving patients’ adherence to CPAP treatment. Its main strength lies in its simplicity, low cost, and independence from the specific CPAP device and mask employed. © 2021, The Author(s).

引用

共 18 条

[1]

Bruyneel M., Telemedicine in the diagnosis and treatment of sleep apnea, Eur Respir Rev, 28, (2019)

[2]

Chen C., Wang J., Pang L., Wang Y., Ma G., Liao W., Telemonitor care helps CPAP compliance in patients with obstructive sleep apnea: a systemic review and meta-analysis of randomized controlled trials, Ther Adv Chronic Dis, 11, pp. 1-11, (2020)

[3]

Garvey J.F., Pengo M.F., Drakatos P., Kent B.D., Epidemiological aspects of obstructive sleep apnea, J Thorac Dis, 7, 5, pp. 920-929, (2015)

[4]

Joyia G.J., Liaqat R.M., Farooq A., Rehman S., Internet of medical things (IoMT): applications, benefits and future challenges in healthcare domain, J Commun, 12, pp. 240-247, (2017)

[5]

Labarca G., Dreyse J., Drake L., Jorquera J., Barbe F., Efficacy of continuous positive airway pressure (CPAP) in the prevention of cardiovascular events in patients with obstructive sleep apnea: systematic review and meta-analysis, Sleep Med Rev, 52, (2020)

[6]

Navarro-Soriano C., Torres G., Barbe F., Sanchez-de-la Torre M., Manas P., Lloberes P., Diaz Cambriles T., Somoza M., Masa J.F., Gonzalez M., Manas E., de la Pena M., Garcia-Rio F., Montserrat J.M., Muriel A., Oscullo G., Garcia-Ortega A., Posadas T., Campos-Rodriguez F., Martinez-Garcia M.A., on behalf the Spanish Sleep Network: The HIPARCO-2 study: long-term effect of continuous positive airway pressure on blood pressure in patients with resistant hypertension: a multicenter prospective study

[7]

Pengo M.F., Czaban M., Berry M.P., Nirmalan P., Brown R., Birdseye A., Woroszyl A., Chapman J., Kent B.D., Hart N., Rossi G.P., Steier J., The effect of positive and negative message framing on short term continuous positive airway pressure compliance in patients with obstructive sleep apnea, J Thorac Dis, 10, pp. S160-S169, (2017)

[8]

Plante D.T., Leg actigraphy to quantify periodic limb movements of sleep: a systematic review and meta-analysis, Sleep Med Rev, 18, pp. 425-434, (2014)

[9]

Sawyer A.M., Gooneratne N.S., Marcus C.L., Ofer D., Richards K.C., Weaver T.E., A systematic review of CPAP adherence across age groups: clinical and empiric insights for developing CPAP adherence interventions, Sleep Med Rev, 15, pp. 343-356, (2011)

[10]

Schwarz E.I., Stradling J.R., Kohler M., Physiological consequences of CPAP therapy withdrawal in patients with obstructive sleep apnea–an opportunity for an efficient experimental model, J Thorac Dis, 10, pp. S24-S32, (2018)

← 1 2 →