Fitbit Sense 2: a preliminary study to evaluate the feasibility and effectiveness of specific measur

Recently, global medical institutions and public health systems have continued to advance capacity building to provide stronger guarantees for public health. Reduced sleep and activity in acute medical settings can lead to postoperative recovery syndrome, but in this setting they are under-monitored. Wearable devices such as Fitbits can passively track these factors, but the effectiveness of these devices in hospitalized patients remains uncertain.

By comparing them with known accurate devices, inpatient heart rate, pace, sleep and oxygen levels and levels are evaluated in large hospitals; The secondary goal is to explore the cognitive evaluation of patients for continuous wearable device monitoring. This forward-looking queue pre-examination was conducted in a multidisciplinary hospital (Toronto, Canada) to assess heart rate, pace, sleep and oxygen saturation within 24 hours (in inpatients in nursing homes). Fitbit's data was compared with indicators such as sleep quality, heart rate, and oxygen saturation in the Knox T3s and StepWatch, and data was analyzed using statistical methods such as the Bland-Altman analysis method and the intraclass correlation coefficient (ICC) to calculate sedentary light and moderate activity (<40, 40-400, > Patients who participated in the questionnaire collected subjective perceptions.

33 patients participated, with an average age of 52. 6. Fitbit data integrity varied greatly: heart rate and pace were 100%, total sleep time and sleep efficiency was 91%, RE(REM) 56%, and oxygen concentration was 41%.

Heart rate tracking and reference values ((-0. 3bpm, ICC 0. 998))) are extremely close, and step numbers are overestimated ((bias + 29.

4 steps/hr, ICC 0. 64)) but show some significance for sedentary sedation detectors ((sensitivity 75% % PPV 91% %)) total sleep time ((false-0. 1 hours; ICC 0.

65)) and sleep efficiency ((false-2. 0% %; (ICC 0. 69)) with a widely permitted range of medians ((AIC 0.

72)) with a slight positive correlation (ICC +1. 7% %;ICC 0. 47)).

(Therefore, the oxygen saturation ratio shows a slight positive correlation (ICC +1. 7% %;ICC 0. 47)).

Differences in the effectiveness of wearable devices in hospitalized patients, such as heart rate, sedation tests, and others, show significant potential, while absolute metrics, sleep and oxygen saturation and degree equivalence exhibit greater variability and higher data loss rates. Patients' perceptions of wearable devices are highly evaluated. These findings provide the basis for the design of larger verification studies.

NCT07229833 It should be noted that the above content is based on the results of international publicly organized research, the Health Code reference, and does not constitute clinical advice. If there are health questions, please consult medical professionals.