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.
Channels: Single Channel
Sampling Rate: 300Hz
Dyn. Range: 5.3mV p-p
Bandwidth: 0.5Hz - 90Hz
Channels: 3 axes
Sampling Rate: 75Hz/channel
Dyn. range: 5.4g
Bandwidth: 0 - 16Hz
Type: 1GB SD card
Capacity: 21 days
48hrs - continuous wireless Tx.
Version 2.1 compliant
Class 1 (up to 100m range)
Serial Port Profile
L 90mm, W 40mm, D 16mm.
Weight: 55g with battery
Compatible with MedM Health Android app
A platform for secure monitoring and sharing of generic health data in the Cloud
D. Thilakanathan et al.
Future Generation Computer Systems.
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.
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.
The Cross-platform Application for Arrhythmia Detection
A Borodin et al. 12th Conference of Open Innovations Association FRUCT.
Mobile Arrhythmia Detector
A Borodin et al. 11th Conference of Open Innovations Association FRUCT.
Sport Training System Based on ECG Monitor
E Stankevich, I Paramonov. 11th Conference of Open Innovations Association FRUCT. Apr 2012
Exercise for fitness does not decrease the muscular inactivity time during normal daily life
T Finni et al. Scand J Med Sci Sports. 2012
Development and Feasibility of a Smartphone, ECG and GPS Based System for Remotely Monitoring Exercise in Cardiac Rehabilitation
Charles Worringham et al. PLoS ONE.
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.
Multimodal Physical Activity Recognition by Fusing Temporal and Cepstral Information
L Ming et al. IEEE Transactions on Neural Systems and Rehabilitation Engineering.
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.
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.
Methods to extract respiration information from ECG signals
R Ruangsuwana et al. IEEE International Conference on Acoustics Speech and Signal Processing.
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
Predicting cardiovascular disease from real-time electrocardiographic monitoring: An adaptive machine learning approach on a cell phone
Z Jin et al. IEEE Engineering in Medicine and Biology Society. Sept 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.
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.
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
A Mobile Rehabilitation Application for the Remote Monitoring of Cardiac Patients after a Heart Attack or a Coronary Bypass Surgery
Valérie Gay et al. PETRA 2009, Corfu, Greece. Jun 2009
Multimodal sensing for pediatric obesity applications
M Annavaram et al. UrbanSense08 Workshop at SenSys. Nov 2008