eHIT Ltd. Provides Mobile Phone Based Wireless Telecardiology System

eHIT Ltd.eHIT Ltd. and Japanese company AnalyzeYou Inc. have signed a co-operation agreement which includes mobile phone based telecardiology system's global development and maintenance. The first delivery consists of 100 wireless mobile units to Japanese markets.

Telecardiology system is result of the joint co-operation with eHIT Ltd and AnalyzeYou Inc. System collects and remotely analyses long term ECG recordings. In addition, the system makes use of a novel algorithm developed by AnalyzeYou Inc, which helps cardiologist to early identify signs of heart problems and even sudden death.

The system consists of a wearable ECG miniature sensor, which continuously measures the heart activity and wirelessly transfers the data directly to the mobile phone of the patient. The information is then automatically transferred securely to the health care provider by using a mobile connection such as GPRS, GSM, CDMA, or 3G.

Coronary heart disease is by far the most common cause of death in many countries. Every few seconds, someone in Europe is suffering of chest pain caused by an insufficient supply of blood to the heart. "It is often difficult for the patient to tell the difference between angina symptoms and heart attack symptoms", says Dr. Takizawa chairman of AnalyzeYou Inc, Tokyo, "therefore it is very important to early recognise the signs of a heart attack and immediately seek for medical attention." eHIT's solution offers patients the capability of recording and simultaneously transmitting the ECG signal whenever they feel heart irregularities or they are sized by pain in the chest.

According to Kalevi Voutilainen, president of eHIT Ltd., the agreement with AnalyzeYou Inc. represents a synergy with great potentials. "Dr. Takizawa has been analysing ECG diagrams for years and he developed a novel algorithm to help in predicting heart problems and even sudden death. We are now offering a proved technology capable of collecting and transferring ECG data seamless from the patient to the doctor, regardless of their location."

The mobile electrocardiograph is the last addition to the eHIT Health Gateway system, which is an effective and secure tool to wirelessly transfer data from different measurement devices to the health care professionals by using mobile phones or PDA devices. The mobile electrocardiograph offers a simple yet efficient way to be in contact with health professionals anytime and almost anywhere.

About AnalyzeYou Inc.
Anayzeyou Inc. specialises in making medical analyses. Company was established in 2003. The main business activities of the AnalyzeYou Inc are:

  • Measurements of heart rate activity (HRV) for patients/doctors using pre AATOS system.
  • Detecting the numbers of lymphocytes as killer cells in cancer patients using FACS (FluoroCytoMetry) system
  • General survey of patients' blood

About eHIT Ltd.
eHIT Ltd. specialises in wireless telemedicine and wellbeing solutions offering intuitive and flexible approach to remote care such as home care, self care and occupational health.

eHIT's products and services are used in health care organisations worldwide. Health Gateway, the company's leading product, is an effective and secure tool to wirelessly transfer data from different measurement devices to the health care service provider via a mobile platform. For more information visit www.ehit.fi

Most Popular Now

Stanford Medicine Study Suggests Physici…

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But how do chatbots do when guiding treatment and care after the diagnosis? For...

OmicsFootPrint: Mayo Clinic's AI To…

Mayo Clinic researchers have pioneered an artificial intelligence (AI) tool, called OmicsFootPrint, that helps convert vast amounts of complex biological data into two-dimensional circular images. The details of the tool...

Testing AI with AI: Ensuring Effective A…

Using a pioneering artificial intelligence platform, Flinders University researchers have assessed whether a cardiac AI tool recently trialled in South Australian hospitals actually has the potential to assist doctors and...

Adults don't Trust Health Care to U…

A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care...

AI Unlocks Genetic Clues to Personalize …

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes - insights that could help doctors tailor...

The 10 Year Health Plan: What do We Need…

Opinion Article by Piyush Mahapatra, Consultant Orthopaedic Surgeon and Chief Innovation Officer at Open Medical. There is a new ten-year plan for the NHS. It will "focus efforts on preventing, as...

Deep Learning to Increase Accessibility…

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon...

People's Trust in AI Systems to Mak…

Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions. Artificial moral advisors (AMAs) are systems based on artificial...

DMEA 2025 - Innovations, Insights and Ne…

8 - 10 April 2025, Berlin, Germany. Less than 50 days to go before DMEA 2025 opens its doors: Europe's leading event for digital health will once again bring together experts...

Relationship Between Sleep and Nutrition…

Diet and sleep, which are essential for human survival, are interrelated. However, recently, various services and mobile applications have been introduced for the self-management of health, allowing users to record...

New AI Tool Mimics Radiologist Gaze to R…

Artificial intelligence (AI) can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said...

AI Model can Read ECGs to Identify Femal…

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients...