DOI: 10.5061/dryad.69p8cz9dh
title: Data from: Screening for postoperative vital signs abnormalities by continuous remote monitoring using the Biobeat patch: A feasibility multicenter observational study

description: Study Objective: Evaluating the wearable Biobeat sensor which measure
 hemodynamic and respiratory main variables and temperature. Design:
 Prospective multicenter observational study without human intervention.
 Setting: Private non-profit hospitals. Patients: Patients having had
 abdominal surgery. Interventions: Carrying the precordial sensor for 72hr
 whose information was transmitted to a cloud-based repository through a
 Wi-Fi router. Measurements: Incidences of total or partial lack of
 measurement, artifacts, hemodynamic (particularly hypotension),
 respiratory and temperature abnormalities. Sensor measurements were
 compared with nurses‘ ones using Bland and Altman analysis and
 Clarke-Error grid analysis including five zones, from A (excellent
 concordance) to E (opposite treatment). Results: 114 patients were
 included, 90 were analyzed. The median duration of recording per patient
 was 63.8 hrs [25-75thpercentiles: 42.6-72.3]. Overall complete data loss
 was important (45% of time), and, when data was available, pulse oximetry
 was missing the most often (16.1% of the remaining time). Artefacts were
 infrequent (0.1%). Biobeat patch detected a severe hypotension in 10.0% of
 the patients vs 2.9% according to nurse follow up (p 0.034). The bias
 between Biobeat and nurses measurements was small but with large limits of
 agreement. However, most Biobeat’s measurements were in zone A except for
 temperature (53.4% in zone B) and respiratory rate (55.6% in zone B and
 4.4% in zone D). Conclusions: Our findings suggest that wireless
 monitoring using Biobeat sensor is reliable, provided that the problems
 associated with data transmission are resolved.
description: Biobeat measurements were stored automatically on a cloud web
 platform (Instamed) and retrieved at the end of the study. 
 Patients' demographics and nurses’ measurements were
 retrieved from the hospital database<em>. </em>
description: # Data from: Screening for postoperative vital signs abnormalities by
 continuous remote monitoring using the Biobeat patch: A feasibility
 multicenter observational study
 [https://doi.org/10.5061/dryad.69p8cz9dh](https://doi.org/10.5061/dryad.69p8cz9dh) ## Description of the data and file structure ### Files and variables #### File: Clinical\_table.xlsx **Description:** Clinical variables **12 variables, 90 lines** ##### Variables * id_data: Patient number - Age: &lt; 65; ≥ 65 * Sex: F: female; M: male - BMI (body mass index): numeric              * ASA_class: 1; 2; 3               - Surgery: Urological; Digestive; Gynecological * Surgery_duration: minutes - Postoperative_complications &gt; 3A: yes; no * Easy_startup: serious problem; moderate problem; minor problem; not at all a problem; no data (missing data) - Skin_complication: normal skin ; mild reaction; inflammatory skin; severe inflammatory skin; no data (missing data) * Patient_satisfaction: very dissatisfied; dissatisfied; satisfied; very satisfied; no data (missing data) * Duration_monitoring: hours #### File: Comparison\_of\_measurements.xlsx **Description:** Comparison of Biobeat measurements and nurse's ones **4 variables, 2195 lines** ##### Variables * id_data: Patient number - Variable: Heart rate (beat/min); Mean blood pressure (mmHg); Respiratory rate (breath/min); Peripheral oxygen saturation (%); Temperature (°C) * Nurse: measurements performed by the nurses - Biobeat: data obtained at the same time by the Biobeat sensor #### File: Biobeat\_data.xlsx **Description:** Biobeat recordings **7 variables, 64088 lines** ##### Variables * id_data: Patient number - Record_number: recordings made every minute. * RR: Respiratory rate (breath/min) - SpO2: Peripheral oxygen saturation (%) * HR:  Heart rate (beat/min) - MBP: Mean blood pressure (mmHg) * Temp: Temperature (°C) ## Access information Data was derived from the following sources: * Biobeat measurements: Instamed cloud-based web platform repository for health data * Patients' demographics and nurses’ measurements: hospital database