ECG AIGE

Serial Number 99466565
630

Registration Progress

Application Filed
Oct 28, 2025
Under Examination
Approved for Publication
Published for Opposition
Registered

Trademark Image

ECG AIGE

Basic Information

Serial Number
99466565
Filing Date
October 28, 2025
Drawing Code
4

Status Summary

Current Status
Active
Status Code
630
Status Date
Oct 28, 2025
Application
Pending
Classes
009 042 044

Rights Holder

Anumana, Inc.

03
Address
1 Main Street, Suite 400
Cambridge, MA 02142

Ownership History

Anumana, Inc.

Original Applicant
03
Cambridge, MA

Legal Representation

Attorney
Stacey J. Watson

Application History

2 events
Date Code Type Description Documents
Oct 28, 2025 MAFR O APPLICATION FILING RECEIPT MAILED Loading...
Oct 28, 2025 NWAP I NEW APPLICATION ENTERED Loading...

Detailed Classifications

Class 009
Devices and instruments to be placed on the human body for measuring and analyzing the body’s physiological data, biometric, physiological, and wellness data, namely, electrocardiogram (ECG) signal, and cardiac health information for displaying, sorting, sending transmitting and receiving instructions and data relating to the above for non-medical and non-therapeutic purposes; Devices and instruments to be placed on the human body for measuring and analyzing recovery from physical and emotional stress, human alertness level, and performance and for displaying, storing, sending, transmitting, and receiving instructions and data relating to the above for non-medical and non-therapeutic purposes; Downloadable computer software for measuring, analyzing, and reporting biometric, physiological, and wellness data, namely, electrocardiogram (ECG) signal, and cardiac health information for non-medical and non-therapeutic purposes; Downloadable computer software for measuring, analyzing, and reporting recovery from physical and emotional stress, human alertness levels, and performance for non-medical and non-therapeutic purposes; Downloadable computer databases featuring data from measurement and analysis of the body’s physiological data, biometric, physiological and wellness data, recovery from physical and emotional stress, human alertness levels, and performance for non-medical and non-therapeutic purposes; Downloadable mobile applications for retrieving, analyzing and displaying health and wellness information.
Class 042
Software as a service (SAAS) services featuring software for measuring, analyzing, and reporting biometric, physiological, and wellness data, namely, electrocardiogram (ECG) signals and cardiac health information for non-medical and non-therapeutic purposes; Providing online non-downloadable computer software platforms and databases featuring data from measurement and analysis of the body’s physiological data, biometric, physiological and wellness data, recovery from physical and emotional stress, human alertness levels, and performance for non-medical and non-therapeutic purposes; Data automation and collection service using proprietary software to evaluate, analyze and collect service data; Design and development of software and hardware for producing, recording and processing digital and analogue signals; Scientific research and analysis in the field of computational systems biology; Providing technology information in the field of health, wellness, and computational systems biology; Scientific research for medical purposes in the field of health, wellness, and computational systems biology; Scientific study and research in the field(s) of health, wellness, and computational systems biology; Software development and product development consulting in the field of health, wellness, and computational systems biology.
Class 044
Providing information relating to health measurement, namely, measurement of bodily behavior, health related sleep quality, recovery from physical and emotional stress, and human alertness levels and performance, tracking, and analysis; providing information in the fields of health and wellness; providing educational information about health, wellness, and health related sleep quality via computer networks.

Classification

International Classes
009 042 044