US 12,285,270 B2
Smart wristband for multiparameter physiological monitoring
Saif Ahmad, Kanata (CA); and Atul Kumar Garg, Kanata (CA)
Assigned to The Access Technologies, Ottawa (CA)
Filed by The Access Technologies, Ottawa (CA)
Filed on Apr. 14, 2022, as Appl. No. 17/720,439.
Application 17/720,439 is a continuation in part of application No. 17/193,833, filed on Mar. 5, 2021, granted, now 11,337,615.
Claims priority of provisional application 62/986,199, filed on Mar. 6, 2020.
Prior Publication US 2022/0249021 A1, Aug. 11, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. A61B 5/01 (2006.01); A61B 5/00 (2006.01); A61B 5/024 (2006.01); A61B 5/332 (2021.01); G16H 15/00 (2018.01)
CPC A61B 5/681 (2013.01) [A61B 5/01 (2013.01); A61B 5/02416 (2013.01); A61B 5/332 (2021.01); A61B 5/6824 (2013.01); A61B 5/6831 (2013.01); A61B 5/721 (2013.01); G16H 15/00 (2018.01); A61B 2562/0219 (2013.01); A61B 2562/066 (2013.01)] 27 Claims
OG exemplary drawing
 
1. A smart wristband for multiparameter physiological monitoring configured to communicate with an external device, comprising:
a backplate;
multiple biosensors, including at least three photoplethysmography (PPG) sensors configured to contact skin of the user in at least three separate locations;
a microcontroller in communication with the biosensors and configured to determine multiple vital signs from data from the biosensors; and
an accelerometer sensor, wherein the microcontroller and/or the external device acquire user activity data via the accelerometer sensor;
wherein the at least three PPG sensors are located across a length of the backplate, separated from each other by predetermined distances, and collectively configured to measure at least three arterial pulse waveform signals each with different pulse arrival times from the at least three separate locations on the skin of the user, enabling measurement of at least three pulse transit time (PTT) and/or pulse wave velocity (PWV) signals, and wherein the microcontroller is configured to compute at least three PTT and/or PWV metrics using the different pulse arrival times and the predetermined distances, and to thereafter use the at least three PTT and/or PWV metrics to calculate at least one parameter of the user;
wherein the microcontroller and/or the external device are configured to:
receive the at least three arterial pulse waveform signals via the at least three PPG sensors; and
analyze the at least three arterial pulse waveform signals to compute at least three pulse transit times (PTT), at least three pulse wave velocities (PWV), and at least three pulse amplitude metrics, and combines the at least three PTT, the at least three PWV, and the at least three pulse amplitude metrics to evaluate and report at least one non-invasive blood pressure (NIBP) parameter of the user;
analyze the at least three arterial pulse waveform signals to compute at least three peak-to-peak interval (PPI) metrics and combines the at least three PPI metrics to evaluate and report a heart rate (HR) parameter of the user;
analyze respiratory sinus arrhythmia (RSA) induced modulations in respective amplitudes of the at least three pulse waveform signals, the at least three PPI signals, and the at least three PTT signals to compute at least nine respiration rate (RR) metrics, and combines the at least nine RR metrics to evaluate and report an RR parameter of the user;
analyze the at least three arterial pulse waveform signals to compute at least two blood oxygen saturation (SpO2) metrics and combines the at least two blood SpO2 metrics to evaluate and report an SpO2 level of the user; and
analyze accelerometer data from the accelerometer sensor to accurately report user activity level; and
wherein the at least one parameter of the user includes the at least one NIBP parameter, the HR parameter, the RR parameter, and/or the SpO2 level of the user.