The Alive Bluetooth Heart and Activity Monitor is a wireless health monitoring system for screening, diagnosis and management of chronic diseases, and for consumer health and fitness. Applications include the management of atrial fibrillation and heart failure, cardiac rehabilitation and fitness monitoring,

Designed for use in the doctor's office, home or gym, the monitor uses wireless Bluetooth and mobile phone networks to immediately transmit ECG and accelerometer data to a mobile phone, computer, or central monitoring centre. It features the latest generation of Bluetooth wireless technology and new electrode technology for optimum signal quality.

The Alive Heart and Activity Monitor can be used for remote real time monitoring of exercise programs via the internet. Using the Alive Heart and Activity Monitor, a GPS and mobile phone carried by the person exercising, the program supervisor or coach can remotely monitor the exact position, speed, position, ECG and heart rate in real time. For cardiac rehabilitation programs, and for training programs for elite athletes this provides real time feedback on the intensity and performance, allowing optimisation of the programs for maximum benefit and safety.


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HARDWARE

 

Specification

ECG
Channels: Single Channel
Resolution: 8bit
Sampling Rate: 300Hz
Dyn. Range: 5.3mV p-p
Bandwidth: 0.5Hz - 90Hz

Accelerometer
Channels: 3 axes
Resolution: 8bit
Sampling Rate: 75Hz/channel
Dyn. range: 5.4g
Bandwidth: 0 - 16Hz

Internal Storage
Type: 1GB SD card
Capacity: 21 days

Power Source
3.7V lithium-ion
48hrs - continuous wireless Tx.

Bluetooth
Version 2.1 compliant
Class 1 (up to 100m range)
Serial Port Profile
Internal antenna

Physical
L 90mm, W 40mm, D 16mm.
Weight: 55g with battery


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DEVELOPER KIT

Open API
Free sample Android app with source code.
Free sample Microsoft Windows app with source code.

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SUPPORTED APPS

Compatible with MedM Health Android app


RESEARCH

A platform for secure monitoring and sharing of generic health data in the Cloud
D. Thilakanathan et al.
Future Generation Computer Systems.
June 2014

A Multimethod Assessment of Anxiety and Problem Behavior in Children With Autism Spectrum Disorders and Intellectual Disability
LJ Moskowitz et al. American Journal on Intellectual and Developmental Disabilities.
Nov 2013

A Personal Body Area Network as a Pre-Screening Surrogate to the Polysomnography
Sheryl LaFleur et al. 8th International Conference on Body Area Network.
Oct 2013

Classification Algorithm for Feature Extraction using Linear Discriminant Analysis and Cross-correlation on ECG Signals
MF Shinwari et al. International Journal of Advanced Science and Technology.
Nov 2012

The Cross-platform Application for Arrhythmia Detection
A Borodin et al. 12th Conference of Open Innovations Association FRUCT.
Nov 2012

An Energy Efficient Model for Monitoring and Detecting Atrial Fibrillation in Wearable Computing
R Bouhenguel et al. 7th International Conference on Body Area Networks.
Sept 2012

Mobile Arrhythmia Detector
A Borodin et al. 11th Conference of Open Innovations Association FRUCT.
Apr 2012

Sport Training System Based on ECG Monitor
E Stankevich, I Paramonov. 11th Conference of Open Innovations Association FRUCT. Apr 2012

Development of Computer Aided Prediction Technology for Paroxysmal Atrial Fibrillation in Mobile Healthcare
Desok Kim et al. Cardiac Arrhythmias - New Considerations. InTech.
Feb 2012

Feasibility study of a non invasive Cardiac Rhythm Management System
Peter Leijdekkers et al. Special Edition of IJARS - the International Journal of Assistive Robotics and Systems.
Dec 2010

A Scoring based Monitoring System for Best Performers in Cardiac Rehabilitation
Fahim Sufi et al. IEEE International Conference on Information Technology and Applications in Biomedicine.
Nov 2010

Multimodal Physical Activity Recognition by Fusing Temporal and Cepstral Information
L Ming et al. IEEE Transactions on Neural Systems and Rehabilitation Engineering.
Aug 2010

Effects of vigorous late-night exercise on sleep quality and cardiac autonomic activity
T Myllymäki, H Rusko et al. Journal of Sleep Research, 20.
Jul 2010

Evaluation of Ambulatory ECG Sensors for A Clinical Trial on Outpatient Cardiac Rehabilitation
H Ding et al. IEEE/ICME International Conference on Complex Medical Engineering.
Jul 2010

A Wearable Smartphone-Based Platform for Real-Time Cardiovascular Disease Detection Via Electrocardiogram Processing
J Oresko et al. Information IEEE Transactions on Technology in Biomedicine.
May 2010

ECG Signal Acquisition and Analysis for Telemonitoring
Emil Plesnik et al. Proceedings of the 15th IEEE Mediterranean Electrotechnical Conference.
April 2010

Methods to extract respiration information from ECG signals
R Ruangsuwana et al. IEEE International Conference on Acoustics Speech and Signal Processing.
Mar 2010

Body sensor networks for Mobile Health Monitoring: experience in Europe and Australia 
V Jones et al. The Fourth International Conference on Digital Society ICDS 2010. Feb 2010

The Unconventional Interaction Library: Tackling the Use of Physiological Interaction Modalities
Luís Duarte et al. Proceedings of the Eighth International Conference on Creating, Connecting and Collaborating through Computing. Jan 2010

Automatic Detection of Respiration Rate From Ambulatory Single-Lead ECG
Justin Boyle et al. Transactions on Information Technology in Biomedicine (TITB). Nov 2009

Real-Time Cardiovascular Diseases Detection on a Smartphone 
Allen Cheng. Poster at mHealth Summit 2009, Washington DC. Oct 2009

Mobile tools for home-based cardiac rehabilitation based on heart rate and movement activity analysis
J. Mattila et al. Engineering in Medicine and Biology Society. Sep 2009

Mobile tools for home-based cardiac rehabilitation based on heart rate and movement activity analysis
Jussi Mattila et al. Engineering in Medicine and Biology Society. Sept 2009.

Energy-efficient multihypothesis activity-detection for health-monitoring applications
G Thatte et al. International Conference of the IEEE Engineering in Medicine and Biology Society. Sep 2009

Mobile persuasive exergaming
Paul Coulton et al. International IEEE Consumer Electronics Society's - Games Innovations Conference. Aug 2009

Open Mobile Miner: A Toolkit for Mobile Data Stream Mining
S Krishnaswamy et al. Proceedings of 15th Int. Conf. on Knowledge Discovery and Data Mining. Jun 2009.

Automatic Sleep Stage Classification Using Electro-oculography
Jussi Virkkala, PhD Thesis, Tampere University of Technology. May 2009.

Optimal Time-Resource Allocation for Activity-Detection via Multimodal Sensing
G Thatte et al. Proceedings of the Fourth International Conference on Body Area Networks, April 2009

Design and Trial Deployment of a Practical Sleep Activity Pattern Monitoring System
J Biswas et al. Proceedings of 7th Int. Conf. On Smart homes and health Telematics. Jul 2009.

Trial Results of a Novel Cardiac Rhythm Management System using Smart Phones and wireless ECG Sensors 
Peter Leijdekkers et al. Proceedings of 7th Int. Conf. On Smart homes and health Telematics. Jul 2009

Optimal Allocation of Time-Resources for Multihypothesis Activity-Level Detection
G Thatte et al. IEEE International Conference on Distributed Computing in Sensor Systems. Jun 2009

HeartToGo: A Personalized medicine technology for cardiovascular disease prevention and detection 
Jin Zhanpeng et al. Life Science Systems and Applications Workshop. IEEE/NIH. April 2009

Multimodal sensing for pediatric obesity applications
M Annavaram et al. UrbanSense08 Workshop at SenSys. Nov 2008