DownloadHealth monitor is an application that enables you to record your weight and blood pressure every day (or other intervals) with graphical analysis.
The author uses it every day (with an Omron blood pressure machine).
Thank you to BitRock (www.bitrock.com) for their MultiPlatform Installer
*New* Public Server edition (Windows only) uses an online MySQL database to store records. No DB setup necessary!
Includes:
*Graphical Analysis
*DB transfer utility
Current versions:
* MSAccess version
* SQLite 3 version
* MySQL 5.6 server version
* Note with msAccess: If when you first run healthmonitor, an error dialog comes up with "EODBCException Message:Could not connect with connection string "DRIVER={Microsoft Access Driver (*.mdb, *.accdb)};....etc." then install the Microsoft AccessDataBaseEngine (link below) then try again.
*AccessDatabaseEngine is downloadable from Microsoft http://www.microsoft.com/en-us/download/details.as
Features
- Any number of users
- Very simple interface and operation
- Instant stats - Latest BMI/Avg, Max/Min/Avg blood pressure
- MSAccess version available (In Files Section)
- SQLLite V3 version available (In Files Section)
- MySQL 5.6.n version available (In Files Section)
- Built-in simple Users record management
- Built-in simple health record management
- Built-in backup/restore database (MSaccess and SQLite)
- Open source (LGPLV2) Full Lazarus source code
- SVN repository has latest source code
- Companion Health Analysis application
- Database transfer utility application
Project Samples
Categories
DatabaseLicense
GNU Library or Lesser General Public License version 2.0 (LGPLv2)Follow Health Daily Monitor
User Reviews
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Nice App, pretty simple easy to use.. 1. maybe it would be nice if you add feature input data based on specific date, in other word i can add data in the back day, not just only can add data in the current date.( i would like insert data in the past). 2. add feature "print" in table Form like ms excel and graphic 3. add more parameter "waist size" 4. for a lot of user data, may be you can add "search" feature